Bioinformatics Jobs

Description We are seeking a junior bioinformatician for the Tisch Cancer Institute Bioinformatics for Next Generation Sequencing (BiNGS) shared resource facility, to lead genomics, transcriptomics and epigenetics data analysis projects related to Cancer and Developmental biology. The mission of BiNGS is to enhance scholarship and facilitate NGS data analysis in the ISMMS community by providing access to state-of-the-art tools and training. The BiNGS staff support a broad range of biostatistics and bioinformatics analyses for multiple applications spanning bulk ATAC-, RNA-, and ChIP-seq, CUT&RUN and HiC, single cell ATAC- and RNA-seq, single cell Multiome and Spatial Transcriptomics, WGS and WES. BiNGS further provides services for data management, bioinformatics tools development, access to biocomputing resources, web-based app development, and advanced computational training in data analysis. We are focused on delivering a comprehensive, rapid and user-friendly service. More specifically, we are working on multiple projects together with PIs in the Tisch Cancer institute and the broader Mount Sinai community to analyze NGS related datasets. For example, we are working to understand the role of the histone variant MacroH2A in the regulation of chromatin organization in melanoma utilizing micro-C analysis, enhancers analysis, transcriptomic analysis, open chromatin analysis and transcription factor network analysis; in another project, we are working to develop a computational classifier for risk assessments from cancer patients’ biopsies, utilizing WES and ultra-low pass WGS and ML tools. We are seeking a highly motivated junior Bioinformatic Scientist who wants the opportunity to significantly impact the growth and success of our research programs, the bioinformatics core and the services we provide. The candidate will work closely with TCI investigators to facilitate and enhance the processing of their projects. Commitment to accuracy, high attention-to-details, and ability to work independently are critical competencies for the role. The ability to lead projects is a must. We feel that BiNGS presents a unique opportunity for junior bioinformaticians who seek to work with like-minded professionals to expand their data analysis skills; their understanding of transcriptional and epigenetic programs and their role in driving cancer initiation, progression and metastasis, and other diseases; their ability to communicate science clearly and efficiently; and their involvement in reducing racial bias in science through mentorship of URM in Science. Responsibilities • Execute computational analysis for bulk RNA- and ATAC-seq, ChIP-seq, and HiC using existing analysis pipelines. • Integrate data across different datatypes and from publicly available resources (e.g., ENCODE and TCGA), with experimental data generated by PIs. for example; correlation with gene expression signatures, and Histone PTM enrichment analysis. The ideal candidate will be able to navigate the available datasets and extract meaningful data based on the system he/she works on. • Provide analyses and visualization for presentations and publications. • Participate in the implementation of new software tools to process, analyze and visualize high-throughput multidimensional sequencing data. The candidate will be required to identify the main requirements, identify available tools, implement and test. • Manage the core online database and interactive tools on local HPC and commercially available clouds preferably Amazon Web Services. • Tracking and reporting of ongoing projects. • Provide training to TCI investigators and trainees. Qualifications • B.S. in Biological Sciences, Bioinformatics, Computer Sciences, Statistics or related discipline; MSc in Bioinformatics or Computational biology with a focus on genomics or related discipline preferred. • 3 years experience required • Working experience with genetics or statistics analysis software and online resources. Experience in programming environments such as Matlab, R statistical package, BioConductor, Perl or C++. • Experience in analyzing and integrating bulk RNA- and ATAC-seq, ChIP-seq, and HiC datatypes. • Knowledge of cancer biology, chromatin biology, and technologies such as next-generation sequencing. • Proven experience with Perl, R and Unix. Additional experience with standard genomics tools for high-throughput sequencing data analysis is preferred (e.g., Bowtie2, deepTools, Samtools, and the UCSC genome browser). • Experience in batch HPC cluster environment with a parallel file system. • Ability to research, analyze, recommend, communicate and implement data analysis solutions. • Must be able to work as an individual while part of a small team. Employer Description Strength Through Diversity The Mount Sinai Health System believes that diversity, equity, and inclusion are key drivers for excellence. We share a common devotion to delivering exceptional patient care. When you join us, you become a part of Mount Sinai’s unrivaled record of achievement, education, and advancement as we revolutionize medicine together. We invite you to participate actively as a part of the Mount Sinai Health System team by: • Using a lens of equity in all aspects of patient care delivery, education, and research to promote policies and practices to allow opportunities for all to thrive and reach their potential. • Serving as a role model confronting racist, sexist, or other inappropriate actions by speaking up, challenging exclusionary organizational practices, and standing side-by-side in support of colleagues who experience discrimination. • Inspiring and fostering an environment of anti-racist behaviors among and between departments and co-workers. At Mount Sinai, our leaders strive to learn, empower others, and embrace change to further advance equity and improve the well-being of staff, patients, and the organization. We expect our leaders to embrace anti-racism, create a collaborative and respectful environment, and constructively disrupt the status quo to improve the system and enhance care for our patients. We work hard to create an inclusive, welcoming and nurturing work environment where all feel they are valued, belong and are able to advance professionally. Explore more about this opportunity and how you can help us write a new chapter in our history! “About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 43,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes approximately 7,400 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics and top 20 in Cardiology/Heart Surgery, Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 14 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally. The Mount Sinai Health System is an equal opportunity employer. We comply with applicable Federal civil rights laws and does not discriminate, exclude, or treat people differently on the basis of race, color, national origin, age, religion, disability, sex, sexual orientation, gender identity, or gender expression. We are passionately committed to addressing racism and its effects on our faculty, staff, students, trainees, patients, visitors, and the communities we serve. Our goal is for Mount Sinai to become an anti-racist health care and learning institution that intentionally addresses structural racism.” EOE Minorities/Women/Disabled/Veterans Compensation The Mount Sinai Health System (MSHS) provides a salary range to comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $65000 - $83430 Annually. Actual salaries depend on a variety of factors, including experience, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

Understanding the location and functions of genes within an organism's genome is useful for scientists to learn more about the relationship between organisms. We look at several features of fruit fly genomes as part of the Genomics Education Partnership. We use online software to make judgements about start and stop sites on exons within the genomes. Students can participate remotely, though sessions with the PI are needed for training and initial workthroughs.

Site Name: USA - Pennsylvania - Upper Providence, Cambridge MA, Heidelberg, UK - Hertfordshire - Stevenage Posted Date: Feb 10 2025 Do you share a desire to advance scientific knowledge and capitalize on the revolution in data, automation and predictive sciences to deliver measurable impacts on the success and progression of GSK’s medicine discovery portfolio? The Data, Automation and Predictive Sciences (DAPS) function of GSK Research Technologies focused on large-scale data generation, curation, analysis and prediction to deliver higher PTRS (Probability of Technical and Regulatory Success) assets and unlock upper quartile ambitions. Collaboration is key as Data, Automation and Predictive Sciences will only be successful by working in close collaboration with matrix partner teams within Research Technologies functions, in the Research Units (all therapeutic areas), Onyx Research Data Platform (Tech/IT), R&D AIML and Risk & Compliance. As a Scientific Leader, Bioinformatics Engineering in the Data Sciences team aligned to Target Discovery and Human Genetics & Genomics, you will collaborate with scientists across Research Technologies functions to develop and deliver high-quality, high-impact industry-leading bioinformatics solutions. You will focus particularly on delivering bioinformatics solutions to produce high value harmonized multi-modal omics data assets at industrial scale and various levels of analysis for use across the medicine discovery portfolio. This position is based 2-3 days per week at a GSK R&D site in the USA (Upper Providence, PA; or Cambridge Tech Square, MA), in the UK (Stevenage), or in Germany (Heidelberg). This role will provide YOU the opportunity to lead key activities to progress YOUR career, these responsibilities include some of the following: • Architecting and delivering complex end-to-end bioinformatics workflows, for large-scale, performant, automated and reproducible analyses of genetic, cellular imaging and multi-omics data, to deliver harmonized multi-modal omics data packages and insights that drive portfolio and pipeline decision-making. • Designing, developing, testing, and enhancing, robust and scalable cloud-native implementations of best-in-class bioinformatics solutions for analysis and interpretation of genetics, omics, and imaging data on GSK’s Onyx Research Data Platform. • Leading collaboratively across departments, with scientists developing novel experimental or computational methods, and with data and software engineers, to enable maturation of best-in-class methodology into production quality pipelines. • Contributing to a culture of innovation, quality, and continuous learning and improvement within the team, including mentoring or upskilling other team members and continuously evaluating bioinformatics science and technology developments for potential application at GSK. • Understanding the internal and external landscape of disease (e.g. Hepatology, Respiratory, Neuroscience) data sources, data standards, and data governance principles to build identify and create high value harmonized multi-modal omics data assets. Why you? Required Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: • PhD or MS + 3yrs professional experience in a relevant scientific discipline with a significant data sciences component. • Minimum of 5 years professional experience, working in and leading multidisciplinary matrix teams across scientific and technical disciplines on large scale and complex database and software projects, in a continuously evolving landscape of scientific methods. • At least 5 years of experience programming and software engineering using Python (preferred) and/or R. Experience with modern software development tools / ways of working (e.g. Object-Oriented Programming, git/GitHub, DevOps tools, CI/CD, metrics/monitoring) demonstrated in a corporate setting and/or via open-source contributions • At least 3 years of experience with cloud computing (e.g. Google Cloud, AWS, Azurre, Kubernetes) and modern bioinformatics and data engineering tools (e.g. Nextflow, Docker, Spark, BigQuery). • Demonstrated experience with a range of techniques in reproducible research (e.g. code standards, data standards, FAIR data principles, profiling and optimization, and agile software development) as applied to scientific areas aligned to Target Discovery and Human Genetics & Genomics (e.g. genetics, cellular imaging, omics). Preferred Qualifications: If you have the following characteristics, it would be a plus: • Proven track record of evaluating, improving and testing, and/or developing robust scalable implementations of, methodology and algorithms for analysis and interpretation of large-scale genetics, cellular imaging, or multi-modal omics data. • Strong communication and team-working skills, influencing, and leadership skills. Including prior matrix team leadership and direct line management experience. • Demonstrated delivery of complex and impactful projects, and coordination of multidisciplinary teams. • Demonstrated learning agility, and scientific curiosity while maintaining focus on driving greater impact in the face of ambiguity and change. #GSK_LI Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US). GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/

Senior Data Scientist (Biostatistics and Bioinformatics Core (BBC) University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Senior Data Scientist (Biostatistics and Bioinformatics Core (BBC) Job Profile Title Research Analyst Job Description Summary The Biostatistics and Bioinformatics Core (BBC) in the Abramson Cancer Center (ACC) provides expert biostatistical, bioinformatics, and data management guidance in the design, conduct and analysis of research projects conducted by ACC members, and offers training in all aspects of design and analysis. Core personnel apply existing design and analysis methodologies, in addition to adapting or developing new methods to address novel design and analysis issues arising in cancer studies. A major BBC responsibility is to support the design and conduct of clinical trials. As such, the BBC plays a key role in the Protocol Review and Monitoring System, particularly through the Clinical Trials Scientific Review and Monitoring Committee (CSTRMC). Job Description This Senior Data Scientist will be a key member of the Biostatistics and Bioinformatics Core (BBC) in the Abramson Cancer Center (ACC) at the University of Pennsylvania Perelman School of Medicine. The primary responsibility of this position will be to provide statistical expertise to design, conduct, monitoring, and analysis of cancer studies in basic, translational, clinical, and/or population science research. The incumbent will also contribute to statistical review of clinical trial protocols submitted to the ACC Clinical Trials Scientific Review and Monitoring Committee (CTSRMC). The specific duties for this position may include protocol development, study design, analysis plan, sample size / power calculations, and interpretation of study data; develop, design and write new and/or revised statistical programs (say in SAS or R) and modeling based on requirements of ongoing research projects; conduct and interpret analyses of research data using descriptive statistics, inferential tests, and advanced statistical methods and models; evaluate and ensure statistical integrity, accuracy and validity of research data; compiles results and provides statistical summaries and reports to principal investigators; assist with grant proposal preparation in study design, sample size calculations, and development of statistical analysis plans; assist with preparation of journal articles, technical reports and other materials for publication and presentation; manage biomedical databases for assigned research projects; read and review appropriate biomedical and statistical papers; and attend project meetings. Position is contingent upon funding. Qualifications Master's degree in biostatistics, statistics or related quantitative field with 6+ years' experience in design, conduct, monitoring, and analysis of cancer clinical studies, in preparing and reviewing clinical trial protocols, and in preparing grant applications and writing research reports, or doctoral degree with 3+ years' experience in these areas. Working Conditions Office, library, computer room Physical Effort Typically sitting at a desk or table ; Occasional lifting 25 lbs. or less Job Location - City, State Philadelphia, Pennsylvania Hybrid Eligible - This position is eligible for a hybrid work schedule with a work week divided between working onsite and working remotely. Department / School Perelman School of Medicine Pay Range $74,476.00 - $100,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, as well as internal and market factors and grade profile. Affirmative Action Statement Penn adheres to a policy that prohibits discrimination on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status, or any other legally protected class. Special Requirements Background check required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits • Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. • Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. • Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard. • Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family—whatever your personal needs may be. • Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired, you won't have to provide proof of good health or be subject to underwriting requirements. Eligible family members must always provide proof of good health and are subject to underwriting. • Wellness and Work-life Resources: Penn is committed to supporting our faculty and staff as they balance the competing demands of work and personal life. That's why we offer a wide variety of programs and resources to help you care for your health, your family, and your work-life balance. • Professional and Personal Development: Penn provides an array of resources to help you advance yourself personally and professionally. • University Resources: As a member of the Penn community, you have access to a wide range of University resources as well as cultural and recreational activities. Take advantage of the University's libraries and athletic facilities, or visit our arboretum and art galleries. There's always something going on at Penn, whether it's a new exhibit at the Penn Museum, the latest music or theater presentation at the Annenberg Center, or the Penn Relays at Franklin Field to name just a few examples. As a member of the Penn community, you're right in the middle of the excitement—and you and your family can enjoy many of these activities for free. • Discounts and Special Services: From arts and entertainment to transportation and mortgages, you'll find great deals for University faculty and staff. Not only do Penn arts and cultural centers and museums offer free and discounted admission and memberships to faculty and staff. You can also enjoy substantial savings on other goods and services such as new cars from Ford and General Motors, cellular phone service plans, movie tickets, and admission to theme parks. • Flexible Work Hours: Flexible work options offer creative approaches for completing work while promoting balance between work and personal commitments. These approaches involve use of non-traditional work hours, locations, and/or job structures. • Penn Home Ownership Services: Penn offers a forgivable loan for eligible employees interested in buying a home or currently residing in West Philadelphia, which can be used for closing costs or home improvements. • Adoption Assistance: Penn will reimburse eligible employees on qualified expenses in connection with the legal adoption of an eligible child, such as travel or court fees, for up to two adoptions in your household. ​ To learn more, please visit: https://www.hr.upenn.edu/PennHR/benefits-pay To apply, visit https://wd1.myworkdaysite.com/en-US/recruiting/upenn/careers-at-penn/job/Blockley-Hall/Senior-Data-Scientist--Biostatistics-and-Bioinformatics-Core--BBC-_JR00054455-2 Copyright ©2024 Jobelephant.com Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-cc49120466184048ba0a0567e13ed11b

Research Associate in Bioinformatics within ITMAT Location: Philadelphia, PA Open Date: Mar 11, 2024 Deadline: Mar 11, 2026 at 11:59 PM Eastern Time The Institute for Translational Medicine and Therapeutics at the Perelman School of Medicine at the University of Pennsylvania seeks candidates for a Research Associate position in the Academic Support Staff. This appointment will be initially for one (1) year and continuation during that time period and renewal are based on satisfactory performance and availability of funding (limited to three (3) years). Expertise is required in the specific area of Bioinformatics, Computational Biology, Computer Science, Statistics, Mathematics or closely related field. Applicants must have a Ph.D. degree. Responsibilities may include • Research in bioinformatics, which includes: - designing, architecting, developing, and testing software for managing and processing big data sets obtained from various biological experiments - investigating and benchmarking published bioinformatics software and tools - investigating high performance computing and cloud platforms for running bioinformatics software and tools - development of novel methods for statistical and/or machine learning analysis of omics data • Computational and statistical support for studies performed by ITMAT researchers, which includes: - management and processing of big data sets obtained by next generation high throughput sequencing - statistical and machine learning analysis of processed data - integration of heterogeneous (transcriptomics, epigenomics, proteomics, metabolomics, i.e., omics) data sets using statistical and machine learning techniques - development of methods for manipulation and visualization of omics data • Participation in various seminars, colloquia, and conferences • Occasional light teaching assignments. The successful applicant will have an opportunity to primarily carry out a research program under the direction of Dr. Gregory Grant. The position will also allow the candidate to grow as an independent scientist and gain eligibility to apply for funding through different mechanisms. We seek candidates who embrace and reflect diversity in the broadest sense. The University of Pennsylvania is an EOE. Minorities/women/individuals with disabilities/protected veterans are encouraged to apply. Qualifications Application Instructions To apply, visit https://apply.interfolio.com/142410 The University of Pennsylvania values diversity and seeks talented students, faculty and staff from diverse backgrounds. The University of Pennsylvania is an equal opportunity and affirmative action employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status or any other legally protected class. Questions or concerns about this should be directed to the Executive Director of the Office of Affirmative Action and Equal Opportunity Programs, University of Pennsylvania, 421 Franklin Building, 3451 Walnut Street, Philadelphia, PA 19104-6205; or (215) 898-6993 (Voice) or (215) 898-7803 (TDD). jeid-2438d0bf2eeac14baa64ef1c49ca72e8

SHIFT: Day (United States of America) Seeking Breakthrough Makers Children’s Hospital of Philadelphia (CHOP) offers countless ways to change lives. Our diverse community of more than 20,000 Breakthrough Makers will inspire you to pursue passions, develop expertise, and drive innovation. At CHOP, your experience is valued; your voice is heard; and your contributions make a difference for patients and families. Join us as we build on our promise to advance pediatric care—and your career. CHOP’s Commitment to Diversity, Equity, and Inclusion CHOP is committed to building an inclusive culture where employees feel a sense of belonging, connection, and community within their workplace. We are a team dedicated to fostering an environment that allows for all to be their authentic selves. We are focused on attracting, cultivating, and retaining diverse talent who can help us deliver on our mission to be a world leader in the advancement of healthcare for children. We strongly encourage all candidates of diverse backgrounds and lived experiences to apply. A Brief Overview The Genomic Diagnostic Laboratory (GDL) of the Children’s Hospital of Philadelphia is seeking a highly motivated Supervisory Bioinformatics Scientist to manage our Bioinformatics team consisting of Bioinformatics Scientists, Bioinformatics Engineers, and RIA Programmers. This is an exciting opportunity to join our laboratory where we use a wide variety of molecular and cytogenetic test methodologies to provide accurate, timely diagnostic testing that has a direct impact on patient care. The team also supports cutting edge R&D efforts including new clinical test development and clinical research. The Supervisory Bioinformatics Scientist is a key member of the leadership team in the GDL, collaborating with other lab leaders including the Director of Bioinformatics, clinical directors, managers, and supervisors). The successful candidate will have a strong human genetics, bioinformatics, and management background that will be applied to training, clinical work, R&D, and troubleshooting. Good documentation practices as well as strong organizational and communication skills are essential. Job responsibilities include scheduling work duties, providing semi-annual performance reviews, assuring that all accreditation requirements are in full compliance, and participating in quality improvement initiatives. We seek a leader who has an interest in strategic planning to develop and improve our bioinformatics pipelines and other tools to support our expanding test menu. This position can be worked fully on-site at our campus in Philadelphia, PA, or as a hybrid role with an expectation of on-site presence at least once a week, and additional on-site presence possible based on the needs of the lab. In addition to many of the subject matter expert responsibilities of the Principal Bioinformatics Scientist, the Supervisory Bioinformatics Scientist will also: • Build and supervise a team responsible for the architecture, development, testing and production rollout of integrated biomedical data resources and applications. • Balance competing priorities and resource allocation across a portfolio of matrixed projects and collaborations. • Promote common standards and best-practice use of multiple technologies to create innovative solutions that have a high impact on data-intensive clinical and translational research. • Serves as the data integration team lead on larger complex projects that include informatics, clinical and translational researchers. • Propose staffing plans for multi-year strategic data resource initiatives. • Train, mentor, and hold junior staff accountable to the results of modern technology development methodologies such as code test coverage, continuous integration, monitoring. • Educate staff, students, and trainees (fellows, post-docs) on appropriate staffing and expertise levels for application of data integration methods in the clinical and translational research environment. What you will do • A Supervisory Bioinformatics Scientist functions as both subject matter expert and team manager. The responsibilities echo those of a Principal Bioinformatics Scientist, but include direct supervision of team members and projects. A Supervisory Bioinformatics Scientist will: • Directly lead and mentor junior staff in a direct supervisory capacity. • Guide and develop the skills and expertise of junior staff • Build project budgets by estimating time and effort costs • Hold data integration and technical teams accountable to high-level project goals and timelines, mapping detailed project plans into these timelines. • Recruit, hire, and retain a focused team of any of Bioinformatics Scientists, Bioinformatics Engineers, and Bioinformatics Programmers. • Provide bioinformatics academic and thought leadership for joint collaborations with CHOP PIs. Education Qualifications • Master's Degree Required • Doctorate Bioinformatics, Computational Biology, Computer Science, Information Science, Informatics, Biomedical Engineering, Biological Science or a related discipline Preferred Experience Qualifications • At least seven (7) years Experience in bioinformatics analysis, bioinformatics database development, bioinformatics database administration, bioinformatics data management, or related discipline, with progressively more complex projects in a biomedical science or healthcare environment. Required • At least one (1) year Small team supervisory experience. Required Skills and Abilities • Experience in bioinformatics and statistical data analysis on highly dimensional data types such as derived from genomics and observational clinical or human subjects research data. • Expert knowledge of relational database management systems such as PostgreSQL, MySQL, Oracle required. • Expert knowledge of bioinformatics applications and algorithms. • Expert knowledge of one or more of the following required: Python/Django, R, Perl, Scala, Ruby or other scripting languages. • Expert biological domain knowledge. • Must exhibit excellent oral, presentation, and written communication skills. • Experience with source code management, application development, and project lifecycle management. • Project management experience of complex matrix projects required. • Proficiency in the areas of bioinformatics analysis, statistical modeling, data integration, and bioinformatics thought leadership in the larger biomedical community. To carry out its mission, CHOP is committed to supporting the health of our patients, families, workforce, and global community. As a condition of employment, CHOP employees who work in patient care buildings or who have patient facing responsibilities must be fully vaccinated against COVID-19 and receive an annual influenza vaccine. Learn more. Employees may request exemptions for valid religious and medical reasons. Start dates may be delayed until candidates are immunized or exemption requests are reviewed. EEO / VEVRAA Federal Contractor | Tobacco Statement

The Department of Medicine, Division of Cardiovascular Medicine at Stanford University is seeking a talented Bioinformatics Engineer to join the Bioinformatics Core (BIC) of the Molecular Transducers of Physical Activity Consortium (MoTrPAC). As part of this groundbreaking national research consortium, you will help unravel the molecular mechanisms underlying the benefits of physical activity. Under the supervision of co-PIs Dr. Euan Ashley and Dr. Matthew Wheeler, you will play a crucial role in shaping the future of personalized exercise science and public health. Dr. Euan Ashley's research interests focus on the application of genomics and other omics data to improve clinical care, with an emphasis on cardiovascular disease and personalized medicine. Dr. Matthew Wheeler's research centers on the integration of large-scale molecular and clinical data to understand the genetic basis of cardiovascular diseases and to develop novel therapeutic strategies. By joining our team, your proficiency in applying advanced statistical methodologies, such as multivariate analysis, machine learning, and Bayesian approaches, will be essential for uncovering novel insights and driving innovation in our research efforts. Your strong statistical background and expertise in analyzing large biological datasets. experience in handling diverse omics data will contribute significantly to our understanding of complex biological systems and the development of personalized medicine. You will also contribute to the analysis, execution, and development of pipelines and bioinformatic tools for various omics data generated within MoTrPAC. This innovative project integrates large volumes of clinical and densely time-sampled molecular data, pushing the boundaries of biomedical data analytics. Our portal (https://motrpac-data.org) will push the boundaries of biomedical data analytics to provide insight into the basic and translational science of exercise. Working alongside our multidisciplinary team, you will be at the forefront of understanding how physical activity preserves and improves health, ultimately making a lasting impact on human well-being. To find out more about our studies, you can check our recent publication in Nature and other journals about the endurance exercise training in rats (visit https://motrpac-data.org/publications). To be considered, please submit a resume and a cover letter that describes your interest in this position, and what skills you would bring to this role. Responsibilities: As a Bioinformatics Engineer II, you will contribute to the analysis, execution, and development of pipelines and bioinformatic tools for various omics data generated within the MoTrPAC project. Your primary responsibilities will include: • Collaborate with a multidisciplinary team of scientists and engineers to analyze and interpret large-scale multi-omics data. • Develop and implement innovative bioinformatics tools and methods to further our understanding of molecular mechanisms underlying the effects of physical activity. • Prepare reports and presentations to communicate findings with the team and the larger scientific community. Qualifications: To be successful in this role, you should possess an advanced degree (Ph.D. or M.S.) in a field such as statistics, biomedical informatics, engineering, or computer science along with a minimum of two years of relevant professional experience. They should have expertise in the analysis, execution, and development of pipelines and bioinformatic tools for various omics data and be proficient in programming languages like R and/or Python, as well as Linux bash scripting. Familiarity with pipeline languages, container systems, code management platforms, and systems biology approaches for data integration is also essential. Candidates should demonstrate experience in large-scale data analysis (with emphasis on genomics, transcriptomics, epigenomics datasets), biological domain knowledge, bioinformatics, and software development team-based projects. Additionally, they should be willing to work in a highly collaborative environment, be able to adapt quickly, possess strong communication skills, and have the capacity to work independently. Due to extensive teamwork needed, this is a mostly on-site position. Why Join Us? • Work on a highly exciting and innovative multi-omics project with the potential to revolutionize our understanding of physical activity and health. • Be part of a world-class research team at Stanford University, led by Dr. Euan Ashley, a pioneer in personalized medicine. • Contribute to groundbreaking research with a significant impact on public health and the prevention of diseases. • Enjoy a collaborative and stimulating work environment at one of the top universities in the world. If you are a passionate and dedicated professional with the required qualifications and a strong interest in advancing scientific research, we encourage you to apply for this exciting opportunity. Join us in unraveling the mysteries of physical activity and making a lasting impact on human health. A complete application will include a cover letter. Duties include: • Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness. • Determine additional data collection and reporting requirements. • Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data. • Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others. • Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation. • Serve as a resource for non-routine inquiries such as requests for statistics or surveys. • Test prototype software and participate in approval and release process for new software. • Provide documentation based on audit and reporting criteria to investigators and research staff. DESIRED QUALIFICATIONS: • Graduate degree (MS, PhD) emphasizing statistics, biomedical informatics, engineering, and computer science are preferred. • Domain expertise in analysis and running pipelines and bioinformatic tools for at least one of the following ‘omes: genomics, transcriptomics, epigenomics (ATAC-seq, RRBS). Knowledge of metabolomics and proteomics analysis is a plus. • Experience in systems biology approaches for data integration. • Proficiency in Python and/or R and Linux bash scripting. • Experience and knowledge of code management such as GitHub. • Experience with pipeline languages such as WDL, snakemake, and/or nextflow. • Proven track record of working with data and infrastructure in an HPC (High-Performance Computing) cluster or cloud computing environments like Google Cloud Platform, AWS, or Azure. • Experience with container systems such as setting up virtual machines and docker instances. • Experience in developing tools and statistical methods for large-scale data analysis is a plus. • Biological domain knowledge (exercise science is a plus). EDUCATION & EXPERIENCE (REQUIRED): • Bachelor's degree and three years of relevant experience or combination of education and relevant experience. • Experience in a quantitative discipline such as economics, finance, statistics or engineering. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Substantial experience with MS Office and analytical programs. • Excellent writing and analytical skills. • Ability to prioritize workload. CERTIFICATIONS & LICENSES: • None PHYSICAL REQUIREMENTS*: • Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. • Occasionally use a telephone. • Rarely writing by hand. WORKING CONDITIONS: • Some work may be performed in a laboratory or field setting. WORKING STANDARDS: • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University’s Administrative Guide, http://adminguide.stanford.edu/. The expected pay range for this position is $104,358 to $128,038 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: • Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. • A caring culture. We provide superb retirement plans, generous time-off, and family care resources. • A healthier you. Climb our rock wall or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. • Discovery and fun. Stroll through historic sculptures, trails, and museums. • Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.

The Senior Bioinformatics Research Scientist performs data analysis, data visualization, statistical analysis, experimental design, database development, mathematical modeling, and novel method development. Provides bioinformatics analysis for investigators and communicates analytical process and results. The recently established Microbial Computational Genomics and Bioinformatics Laboratory in the new Department of Host-Microbe Interactions (HMI) at St Jude Children’s Research Hospital is looking for a Senior Bioinformatics Research Scientist to work on the analysis of microbial and host omics datasets, with a significant focus on comparative analysis of bacterial and viral genomic datasets. The Microbial Computational Genomics and Bioinformatics Laboratory provides HMI and Center for Infectious Diseases Research (CIDR) faculty with top-notch computational biology core support for omics projects and analyses, especially genomics and transcriptomics. Our team collaborates with and provides support to researchers within the HMI and other departments, including Infectious Diseases, through CIDR to provide study design and analysis support at different stages of their research, from study conception and design, data analysis and interpretation for dissemination via talks and manuscripts, and contributing to grant proposals and manuscripts as authors or co-authors. We aim to become a leading team conducting cutting-edge microbial omics and bioinformatics research and supporting researchers within HMI, CIDR, and beyond. The laboratory is a significant initiative backed by substantial support as a part of our institutional strategic plan. The team is fully integrated in research in microbial evolution, microbial pathogenesis, virology, the microbiome, computational biology, and data sciences at St. Jude Children’s Research Hospital. The successful candidate will join a team of Bioinformaticians and will work with other groups at St. Jude, including clinicians, basic scientists, and data scientists, to establish pipelines, analytical approaches, and best practices to facilitate data processing and analysis of microbial and host omics datasets. As a Senior Bioinformatics Research Scientist, you will perform data analysis, develop bioinformatics pipelines and analytical solutions, and play an integral role in research partnerships to explore the application of bioinformatics to omics datasets to support the needs of researchers in the HMI department, the CIDR, within the wider St Jude community, and with external collaborators beyond St Jude. The candidate will be required to follow and adhere to best practices in project management through efficient planning of projects and formulating specific milestones of research goals, monitoring of progress, anticipating and identifying barriers to success and proposing solutions, and providing informative feedback, progress reports, and summaries to the Director of the Microbial Computational Genomics and Bioinformatics Laboratory and principal investigators within HMI and CIDR. The position will report to the Director of the Microbial Computational Genomics and Bioinformatics Laboratory. The Microbial Computational Genomics and Bioinformatics Laboratory will provide a highly collaborative and interactive environment with researchers within HMI, CIDR, and beyond. The successful candidate will have access to the state-of-the-art St Jude high-performance computing (HPC) infrastructure, cloud computing, and innovative tools and datasets. There will be opportunities to advance scientifically through authorships of high-profile papers depending on their specific intellectual contributions. This is an excellent position to join a newly established laboratory core team to conduct cutting-edge microbial omics and bioinformatics research and support researchers within HMI, CIDR, and St Jude to contribute to the mission of St. Jude Children’s Research Hospital to advance cures and means of prevention, for pediatric catastrophic diseases through research and treatment. The ideal candidate should have: – A PhD and extensive experience in microbial bioinformatics, computational biology, and data science, with practical experience working with microbial omics datasets and familiarity with the basic biology of microbial pathogens, especially bacteria and viruses. – A CV with a strong publication record in bioinformatics, computational biology, and data science, mainly focusing on microbial pathogens. – Experience and keen interest in analyzing diverse and large-scale datasets, including whole genome sequencing, phylogenomics, transcriptomics (bulk and single-cell), metagenomics (16S rRNA and shotgun sequencing), transposon sequencing (Tn-seq), and metatranscriptomics using short and long-read sequencing data. – Knowledge of other bioinformatics skills such as genome annotation, DNA methylation analysis, protein structure modeling, metabolomics, and proteomic data analysis will be an added advantage. – Proficient in statistical analysis and working with statistical software (e.g., R), data visualization (e.g., using ggplot2, Matplotlib/Seaborn, and R Shiny), programming languages (e.g., Python), and database software (SQL or NoSQL) preferably in a Linux environment. – Experience using High-Performance Computing (HPC) workload management software, including SLURM and LSF. – Knowledge of software tool development and version control software, such as GitHub, GitLab, Bitbucket, Mercurial, and Mercurial. – A keen interest in generating reproducible code and software using workflow management systems such as Nextflow and Snakemake. – Resilient, problem-solver, critical thinker, and able to work collaboratively in a team environment under direction and with minimal supervision. – Excellent communication and presentation skills in biological research and bioinformatic methodology. – Demonstrated ability to be a fast learner, motivated to continuously advance professionally and stay up-to-date with recent advances in the bioinformatics field, flexible and adaptable to change, move between projects easily, and provide support/expertise where needed. – Previous experience working in the field of infectious diseases is preferred. Minimum Education and/or Training: • Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field. • Master's degree or PhD preferred. Minimum Experience: • Minimum Requirement: Bachelor's degree with 7+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). • Experience Exception: Master's degree with 5+ years of relevant post-degree experience (OR) PhD with 2+ years of relevant post-degree experience. • Significant experience in at least one programming or scripting language and at least one statistical package, with R preferred. Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $104,000 - $186,160 per year for the role of Senior Bioinformatics Research Scientist – Microbial Genomics. Explore our exceptional benefits! Diversity, Equity and Inclusion St. Jude Children’s Research Hospital has a diverse, global patient population and workforce, built on the principles of diversity, equity and inclusion. Our founder Danny Thomas envisioned a hospital that would treat children of the world—regardless of race, religion or a family’s ability to pay. Learn more about our history and commitment. Today, we continue the mission to advance cures and means of prevention for pediatric catastrophic diseases through research and treatment. As we accelerate this progress globally, we believe our legacy of diversity, equity and inclusion is foundational to success. With the commitment of leaders at all levels of the organization, we strive to ensure the St. Jude culture, leadership approaches and talent processes are equitable and culturally responsive. View our Diversity, Equity and Inclusion Report to learn about the hospital’s roots in diversity, equity and inclusion, where we are today and our aspirations for an even better future. St. Jude is an Equal Opportunity Employer No Search Firms St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

The Opportunity The Faculty Cluster Initiative (FCI) at the University of Central Florida (UCF) is recruiting for a 9-month tenured professor who will act as the lead for the Genomics and Bioinformatics Cluster (https://www.ucf.edu/research/genomics-bioinformatics/). This position has an anticipated start date of August 8, 2025. An ideal candidate should have a strong background in genomics and bioinformatics, and in computational approaches used to analyze large genomic datasets. The candidate should have demonstrable leadership experience, preferably with multidisciplinary teams, and a strong record of continual extramural funding. The new Genomics and Bioinformatics Cluster lead can join any of three host departments - The Burnett School of Biomedical Sciences (College of Medicine), Biology (College of Sciences), or Computer Science (College of Engineering and Computer Science); or be jointly appointed among them as appropriate to qualifications and interest. The cluster lead will be expected to develop a research program that strengthens their tenure home department and the cluster. UCF is one of the nation's largest universities with a diverse student body of approximately 68,000 students. UCF has grown substantially in size, quality, diversity, and reputation in its first 50 years. Today, the university offers 240 degree programs. UCF is an economic engine, attracting and supporting industries vital to the region's future while providing students with real-world experiences that help them succeed after graduation. Minimum Qualifications: A Ph.D. or equivalent Doctoral degree from an accredited institution in computer science, bioinformatics, computational biology, biological sciences, biomedical sciences, or a closely related discipline. Extensive experience in cutting-edge bioinformatics methods, with applications in biological sciences, biomedical sciences, or AI in medicine. A strong, consistent, and recent funding record from the NIH, NSF, or other equivalent agencies in genomics and bioinformatics and demonstrated leadership in interdisciplinary research and/or education programs, potentially evidenced by currently, or previously, having held a leadership position at one's current, or a previous, academic institution. To be eligible for appointment as a tenured professor upon hire, the selected candidate must have a demonstrated record of teaching, research, service, and leadership commensurate with a tenured faculty appointment at the rank of professor, in the applicable tenure home. Evidence of such a record could be demonstrated by holding the rank of full professor at one's current institution. Preferred Qualifications: The ideal candidate would also have proficient teaching skills and the capacity to communicate effectively with both graduate and undergraduate students, whether in large or small audiences. Additional Application Materials Required: UCF requires all applications and supporting documents to be submitted electronically through the Human Resources employment opportunities website, https://www.ucf.edu/jobs/. In addition to the online application, candidates should upload a cover letter, a current curriculum vitae, a statement of career goals no more than 3 pages discussing their research, teaching, and their vision to lead an interdisciplinary bioinformatics and genomics group, and a list with contact information for three (3) professional references. In the cover letter, candidates should address their background in genomics and bioinformatics, their leadership experiences, and should identify the anticipated department(s) for their potential tenure home. NOTE: Please have all documents ready when applying so they can be simultaneously uploaded. Once the online submission process is finalized, the system does not allow applicants to submit additional documents later. Questions regarding this search should be directed to Naya Ramirez, HR Partner, Search Committee Manager, at Nayade.Ramirez@ucf.edu; or to Maria Fernandez, Human Resources Coordinator III, Search Committee Manager, at Maria.Fernandez@ucf.edu. Review of applications will begin in October 2024 and continue until the position is filled. Special Instructions to the Applicants: N/A Job Close Date: Open until filled. Note to applicants: Please keep in mind that a job posted as 'Open until filled' may close at any time without notice. As such, we encourage you to submit your application and all required documentation as quickly as possible to ensure consideration for the posted position. Are you ready to unleash YOUR potential? As a next-generation public research university and Forbes-ranked top employer in Florida, we are a community of thinkers, doers, creators, innovators, healers, and leaders striving to create broader prosperity and help shape a better future. No matter what your role is, when you join Knight Nation, you'll play an integral role at one of the most impactful universities in the country. You'll be met with opportunities to connect and collaborate with talented faculty, staff, and students across 13 colleges and multiple campuses, engaging in impactful work that makes a positive difference. Your time at UCF will provide you with many meaningful opportunities to grow, you'll work alongside talented colleagues on complex projects that will challenge you and help you gain new skills and you'll have countless rewarding experiences that go well beyond a paycheck. Working at UCF has its perks! UCF offers: • Benefit packages, including Medical, Dental, Vision, Life Insurance, Flexible Spending, and Employee Assistance Program. • Paid time off, including annual (12-month faculty) and sick time off and paid holidays. • Retirement savings options. • Employee discounts, including tickets to many Orlando attractions. • Education assistance. • Flexible work environment. • And more...For more benefits information, view the UCF Employee Benefits Guide click here. Unless explicitly stated on the job posting, it is UCF's expectation that an employee of UCF will reside in Florida as of the date the employment begins. Additional Requirements related to Research Positions: Pursuant to Florida State Statute 1010.35, prior to offering employment to certain individuals in research-related positions, UCF is required to conduct additional screening. Applicants subject to additional screening include any citizen of a foreign country who is not a permanent resident of the U.S., or who is a citizen or permanent resident but is affiliated with or has had at least 1 year of education, employment, or training in China, Cuba, Iran, Russia, North Korea, Syria, or Venezuela. The additional screening requirements only apply to research-related positions, including, but not limited to faculty, graduate positions, individuals compensated by research grants or contract funds, post-doctoral positions, undergraduate positions, visiting assistant professors, and visiting research associates. Department Office Of Research, Research Centers & Institutes, College Of Graduate Studies, And Burnett Honors College HR Business Center Work Schedule Varies Type of Appointment Regular Expected Salary Negotiable Equal Employment Opportunity Statement: The University of Central Florida is an Equal Opportunity/Affirmative Action Employer including Disabled/Vets. Click on UCF's Equal Opportunity Statement to view the President's Statement. The UCF affirmative action plans for qualified individuals with disabilities and protected Veterans are available for inspection in the Office of Institutional Equity, Monday through Friday, from 9:00 a.m. to 5:00 p.m., upon request. As a Florida public university, UCF makes all application materials and selection procedures available to the public upon request. The University of Central Florida is proud to be a smoke-free campus and an E-Verify employer.

The US Air Force School of Aerospace Medicine (USAFSAM) has a bioinformatics fellowship opportunity open to those who have obtained a master's degree in the field of Biological Sciences, Public Health, Biocomputing, or similar field. What will I be doing? As an Oak Ridge Institute for Science and Education (ORISE) participant, you will join a community of scientists and researchers in an effort to further the fellow’s knowledge of infectious disease surveillance, wastewater surveillance, genomic sequencing, and data collection, management and visualization. The purpose of this training fellowship is to provide an educational experience to individuals interested in the fields of public health, infectious disease, epidemiology, and surveillance. The fellow will gain insight into how to communicate data and findings from a surveillance network to decision-makers, other researchers, and the public. Fellows will train within the United States Air Force School of Aerospace Medicine’s Applied Technology and Genomics division and can expect to gain valuable experiences in bioinformatics, high performance computing, and infectious disease surveillance. The fellow will also participate in activities related to database cleaning, data analysis, data visualization, and interpretation of results. The fellow may also have opportunities to develop manuscripts and/or posters or oral presentations for academic conferences. Why should I apply? Under the guidance of a mentor, you will gain hands-on experience to support your academic and professional goals. Along the way, you will engage in activities and research in several areas. These include, but are not limited to: • Analyze large-scale data and summarize findings using statistical software • Develop analysis pipelines and workflows utilizing available platforms • Perform data analysis and develop visualizations using public and in-house tools and dashboards • Collaboration and participation in meetings • Be involved with verbal and written presentations of studies at scientific conferences • Preparation of literature searches, scientific manuscripts, posters, presentations, and other information Where will I be located? The location of this appointment may vary. What is the anticipated start date? Exact start dates will be determined at the time of selection and in coordination with the selected candidate. Applications are reviewed on an ongoing basis and internships will be filled as qualified candidates are identified. What is the appointment length? This appointment is a twelve-month research appointment at a full-time level of participation. Appointments may be extended depending on funding availability, project assignment, program rules, and availability of the participant. What are the appointment provisions? You will receive a stipend to be determined by USAFSAM. Stipends are typically based on a participant’s academic standing, discipline, experience, and research facility location. Other provisions may include the following: • Health Insurance Supplement (Participants are eligible to purchase health insurance through ORISE) • Relocation Allowance • Training and Travel Allowance About USAFSAM The 711th Human Performance Wing’s U.S. Air Force School of Aerospace Medicine (USAFSAM) was established in 1918 and is the premier institute for education and worldwide operational consultation in Aerospace and Operational Medicine. USAFSAM has been a leader in the field of aerospace medicine and human performance from the beginnings of aviation through the onset of the space age and into the present, and is the oldest continually operating institution of its kind. It is also host to the largest aeromedical library in the world. By joining forces with the Air Force and Navy Research Laboratories, USAFSAM fully leverages aeromedical, science, and technology to optimize performance, health, and survival of healthy humans in abnormal or extreme environments, including combat, air, space, and cyberspace. The Applied Technology and Genomics (PHT) Division is a Biosafety Level-2 laboratory, and the only research genetics laboratory in the USAF that can support several projects focusing on: bacterial/viral culture, DNA/RNA extraction, PCR amplification, DNA printing (primers/probes/synthetic constructs), next-generation sequencing, microscopy, analysis of genetic code, and secured storage of genetic code. About ORISE This program, administered by Oak Ridge Associated Universities (ORAU) through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge Institute for Science and Education (ORISE), was established through an interagency agreement between DOE and DoD. Participants do not enter into an employee/employer relationship with ORISE, ORAU, DoD or any other office or agency. Instead, you will be affiliated with ORISE for the administration of the appointment through the ORISE appointment letter and Terms of Appointment. Proof of health insurance is required for participation in this program. Health insurance can be obtained through ORISE. For more information, visit the ORISE Research Participation Program at the U.S. Department of Defense.