Bioinformatics Jobs

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet... The SCCC Bioinformatics Analyst works with research staff to extend capabilities in bioinformatics and improve understanding of genetic variation in human health and disease. The Bioinformatics Analyst maintains and performs analysis with existing pipelines while assisting and benchmarking the development of novel methods. CORE JOB FUNCTIONS • Runs and maintains existing next generation data analysis pipelines. • Assists senior bioinformatics analysts in pipeline and algorithm development and validation. • Extracts features of interest from data relating to specific biological questions. • Contributes to the maintenance of genomic and clinical databases. • Performs statistical and integrative data analysis on genomics and clinical data. • Works along-side other team members and data analysts. • Follows standard operating procedures, documentation, and scripts to generate reports. • Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS Education: Bachelor’s degree in relevant field Experience: Minimum 1 year of relevant experience Knowledge, Skills and Attitudes: • Skill in collecting, organizing, and analyzing data. • Ability to recognize, analyze, and solve a variety of problems. • Ability to exercise sound judgment in making critical decisions. • Ability to process and handle confidential information with discretion. • Proficiency in computer software. #LI-YC1 The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more. UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for. Patient safety is a top priority. As a result, during the Influenza ("the flu") season (September through April), the University Of Miami Miller School Of Medicine requires all employees who provide ongoing services to patients, work in a location (all Hospitals and clinics) where patient care is provided, or work in patient care or clinical care areas, to have an annual influenza vaccination. Failure to meet this requirement will result in rescinding or termination of employment. The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information. Job Status: Full time Employee Type: Staff Pay Grade: r7

Apply your expertise in bioinformatics, computational biology, genomics data science, or computer science towards this unique Bioinformatics Research Scientist opportunity in the Tsai Genome Editing Lab, focusing on advancing genome editing technologies towards treatments of pediatric patients with sickle cell disease and cancer, from bench to bedside. This is a great chance to apply skills in... programming and next-generation sequencing data analysis to important challenges that may lead to new, potentially curative, genome editing treatments for patients at St. Jude Children’s Research Hospital. Our Lab The Tsai Lab is a dynamic, collaborative, and creative group of scientists at St. Jude Children’s Research Hospital. Our research program centers on development of state-of-the-art genomic methods for understanding the global activities of genome editors, protein engineering to improve their capabilities for precise editing, and translation to autologous genome edited hematopoietic stem cell therapies. About the Job Opportunity We are seeking an outstanding and highly motivated Bioinformatics Scientist to help lead efforts to improve our fundamental understanding of CRISPR genome editors (nucleases, base editors, prime editors), engineer better editors, and apply them towards treatments of catastrophic hematological conditions such as sickle cell disease and bone marrow failures. Our wet-lab scientists generate large-scale next-generation sequencing (NGS) datasets on the genome-wide activity of editors, engineered variants with improved properties, and genome editing outcomes. We are looking for a candidate who can use their computational skills to help understand the biology of genome editors and help engineer better editors for therapeutic applications. You would have opportunities to work on exciting projects that include: · Develop new computational pipelines to analyze data from novel high-throughput methods to understand global activity of genome editors · Understand the impact of individual genetic variation on therapeutic genome editing · Develop infrastructure and framework for patient-specific genome editing and high-throughput lead discovery · Machine learning to predict the activity and specificity of CRISPR genome editors. Some examples of open-source software packages we have developed include analysis pipelines for CHANGE-seq and GUIDE-seq. The ideal candidate will be fluent in programming in a language such as Python and experienced with NGS data analyses. If you have special experience with open-source software development, high-dimensional data visualization, high-performance computing, artificial intelligence/machine learning we particularly encourage you to apply. We care deeply about the success of our trainees and this job is a unique opportunity to learn about genomics while contributing to the development of future genomic medicines at St. Jude. You would learn valuable skills that include: · Genome editing biology, next-generation sequencing analysis, high performance computing, machine learning, and others. Applicants are encouraged to provide a cover letter. Those with experience in genome editing, genomics, high-throughput sequencing, screening or automation we especially encourage you to apply! Project-dependent responsibilities could include: • Develop analysis pipelines for state-of-the-art methods for understanding CRISPR genome editors. • Develop machine learning models to predict activity and specificity of editors. • Create novel pipelines for high-throughput lead discovery with base and prime editors. • Develop broadly applicable useful methods to enable genome editing drug development. • Analyze experimental outcomes and develop high-quality summaries towards manuscripts and grant applications. • Draft manuscripts and figures for publication in high-impact journals Senior bioinformatic Research Scientist Minimum Education: • 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. Bioinformatic Research Scientist Minimum Education: • 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 6+ 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 4+ years of relevant post-degree experience (OR) PhD with no experience. • 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/Bioinformatic Research Scientist- Tsai Lab. 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 Bioinformatics Analyst will work closely with the Spatial Biology Core (SBC) director (https://med.virginia.edu/spatial-biology-core/) to assist in the experimental design and analysis of research projects and provide expert consultation and technical/scientific support to UVA investigators. The SBC is seeking an Analyst to develop and establish computational methodologies and design... integrative data science approaches to study Spatial Multi-Omics analysis. The successful candidate will have a demonstrated ability to translate biological questions into technical design, and to identify, prioritize, and execute bioinformatics tasks to meet project goals and deadlines. The analyst will participate in meetings and consultations with clients to discuss design and interpretation and will assist in manuscript and grant preparation. The candidate should have a passion for bioinformatics and enjoy collaborating and supporting academic researchers and attending seminars and meetings. The successful candidate will be responsible for: • Organizing and managing Spatial data sets. • Manipulating and formatting data with R-package, Python, and Seurat tools. • Develop a pipeline to analyze Spatial context related to transcriptomics and proteomics data. • Using established open-source software and tools to assess quality and analyze data. • Running analyses on a high-performance computing cluster. • Using software or genome browsers for visualization. • Consulting with UVA investigators on experimental design, result interpretation, and grant and manuscript preparation. • May be asked to perform other duties as assigned. MINIMUM REQUIREMENTS Education: Master's or terminal degree Experience: Five years of specialized experience. Preferred Qualifications: • Ph.D. in Bioinformatics, Genomics, Biostatistics, Computer science or a related field. • M.S. + experience in bioinformatics or data science. • Advanced proficiency with R/Bioconductor or Python or C/C++. • Knowledge of database development and AI. • Experience with open-source software, tools, and databases for analyzing Spatial data analysis (GeoMx, CosMx, 10x Visium, Multiplex Analysis, etc.). PHYSICAL DEMANDS This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs. This is a restricted position and is dependent upon project need, availability of funding and performance. For more information on the benefits at UVA, visit https://hr.virginia.edu/benefits. This position will remain open until filled. The University will perform background checks on all new hires prior to employment. A completed pre-employment health screen is required for this position prior to employment. TO APPLY Please apply through Careers at UVA, and search for R0055457. Internal applicants must apply through their UVA Workday profile by searching 'Find Jobs'. Complete an application online with the following documents: • CV or Resume • Cover letter Applications that do not contain all required documents will not receive full consideration. References will be completed via UVA’s standardized process Skill Survey during the final phase of the interview process. For questions about the application process, please contact Jeremy Brofft, Senior Recruiting Specialist at xmf9ad@virginia.edu. For more information about UVA and the Charlottesville community please see http://www.virginia.edu/life/charlottesville and https://embarkcva.com/. The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information. MINIMUM REQUIREMENTS Education: Master's or terminal degree Experience: Five years of specialized experience. Licensure: None. PHYSICAL DEMANDS This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs

Payroll Title: BIOINFORMATICS SUPV 2 Department: RADIOLOGY Hiring Pay Scale... $112,100.00 - $195,000.00/Year Worksite: East Campus (La Jolla) Appointment Type: Career Appointment Percent: 100% Union: Uncovered Total Openings: 1 Work Schedule: Days, 8 hrs/day, Monday-Friday #127694 Bioinformatics Manager Filing Deadline: Tue 2/6/2024 Apply Now UC San Diego values equity, diversity, and inclusion. If you are interested in being part of our team, possess the needed licensure and certifications, and feel that you have most of the qualifications and/or transferable skills for a job opening, we strongly encourage you to apply. This is a UC San Diego Internal Recruitment open to UCSD and UCSD Health System Staff Only UCSD Layoff from Career Appointment: Apply by 02/01/2024 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Special Selection Applicants: Apply by 02/06/2024. Eligible Special Selection clients should contact their Disability Counselor for assistance. This position will work a hybrid schedule which includes a combination of working both onsite at La Jolla and remote. DESCRIPTION The UCSD Department of Radiology offers challenging career opportunities, cutting-edge research, and state-of-the-art services for clinical and translational studies. The Center for Multimodal Imaging and Genetics (CMIG) is a multi-disciplinary group of scientists, programmers, and support staff that plays a leading role in several national and multinational initiatives involving collection and analysis of imaging, genetic, and behavioral data from healthy participants and patient populations. CMIG serves as the data core for two large-scale longitudinal NIH funded studies with developmental populations. The Adolescent Brain Cognitive Development (ABCD) study follows ~12,000 children with longitudinal neuroanatomical, functional imaging, and behavioral assessments across 21 sites within the US. The major goals of the study are to provide a publicly available data resource to examine the relationships between environmental influences -- including substance use -- and adolescent brain and cognitive development. The Healthy Brain and Child Development (HBCD) Study is a large-scale longitudinal study of the brain, cognitive, and emotional development that will follow mothers and their children from before birth through the first decade of life. The project will involve over 7,000 families at 25 sites across the United States and aims to better understand which harmful and protective environments exert the greatest impact on child development. The Bioinformatics Supervisor will serve as Co-Director of the Data Analysis, Informatics & Resource Center (DAIRC) of the ABCD Study. In this role, they will oversee all efforts of the center related to management of the ABCD data resource, including data capture, ingestion, processing, quality assurance, monitoring, and reporting as well as curation for public data releases. The incumbent will lead the DAIRC teams for REDCap data capture development and data science/management and supervise the work of the DAIRC Associate Directors and their teams as it relates to above goals. They will coordinate with the ABCD Coordinating Center (CC) to achieve the scientific, administrative, and budgetary goals of the study. In coordination with Principal Investigators (PIs), co-investigators, and staff researchers, the Bioinformatics Supervisor will develop and manage a data curation plan for quality control of the high-dimensional dataset collected in the context of the nationwide study. They will supervise the design and implementation of database systems for the storage and curation of the collected data, including the development of data ingestion routines, processing pipelines, and ETL workflows, as well as develop methods and procedures to proactively identify dataissues. Furthermore, they will spearhead the development and maintenance of the infrastructure for annual data releases and oversee the development of web applications for data download, interactive data exploration, and the analysis of data released in public data releases, in coordination with the NIH Brain Development Cohorts Data Sharing Platform, and associated contractors. The Bioinformatics Supervisor will lead the design, testing, and maintenance of data capture instruments for the ABCD Study using the electronic data capture system REDCap. They will work closely with the leadership and domain experts in the ABCD consortium to develop and implement protocols, processes, and timelines for data collection, data review and correction, and preparation of the dataset for public data release. The incumbent will further lead the design, development, and adaptation of web applications/dashboards and automated reports used by ABCD leadership and personnel to monitor performance indicators like visit missingness / retention, protocol completeness, data quality, and other relevant metrics. The Bioinformatics Supervisor will also play a prominent role in the HBCD Data Coordinating Center (HDCC). In coordination with the HBCD Consortium Administrative Core (HCAC) and other groups within the HDCC, they will oversee the design, development, and adaptation of web applications/dashboards to support the results-based accountability efforts of the HBCD Study. The dashboards will allow study sites, coordinating centers, and oversight boards to monitor the recruitment progress, protocol compliance, as well as data quality/completenessand other relevant performance metrics in real-time. The incumbent will further supervise the design, testing, and maintenance of complex REDCap instruments for electronic data capture in the HBCD Study and the integration of these instruments with the overall HBCD IT infrastructure. The position receives assignments in the form of objectives with goals and the process by which to meet goals. Provides direction to staff according to established policies and management guidance. The position administers policies that directly affect subordinate staff, recommends changes to department policies and practices, identifies risks and responds accordingly and provides priority setting and work flow analysis. Erroneous decisions or failure to achieve goals results in additional costs and personnel, and serious delays in overall schedules. MINIMUM QUALIFICATIONS • Demonstrated ability to lead a technical staff of IT and / or scientific personnel, including projects performed by multiple developers. Strong knowledge and experience with monitoring staffing levels, recruitment, and training procedures. Strong experience in training and providing work direction to individuals of varying skill levels. Ability to manage multiple teams while also having strong independent work skills. • Solid knowledge of bioinformatics methods, bioinformatics applications programming, web development, data security, operating systems, relational databases, and data structures in an open source environment. Strong knowledge and skills with regard to database management and statistical software programming. Excellent data exploration, visualization, and analysis skills. Experience with database design and database programming in SQL. Strong general scientific programming skills, preferably using the R and/or Python programming languages. Experience with programming best practices (version control, reproducible development environments, containerization, continuous integration, etc.), open source software and open science practices, as well as development of software packages. • Demonstrated critical thinking, persuasion / negotiation, conflict resolution, mentoring and staff development, supervision, problem solving, human resources policies and procedures relating to management responsibilities. Strong analytical and problem solving skills. Demonstrated ability to interpret and understand the needs and concerns of consortium members and interdisciplinary collaborators. Ability to identify problems and to devise, suggest, and implement creative, efficient, and reliable solutions. • Demonstrated oral and written communication skills, quantitative and analytical abilities. Solid verbal and written communication skills. Excellent oral and written communication skills to effectively communicate with audiences of diverse levels of expertise and skills. Experience with effectively communicating and collaborating with a diverse set of stakeholders. Skilled in communicating technical information and data insights to non-technical researchers. • Solid knowledge of modern biology or applicable field of research. Strong knowledge of biostatistical methods. In-depth knowledge of the scientific method and principles. Expert knowledge of and demonstrated practical experience with the design and management of research studies, especially large-scale multi-site studies. Broad knowledge of human subject research domains and assessment methods, including surveys, standardized psychological testing, neurocognitive experiments, brain imaging, biospecimen, and wearable- and/or smartphone-based assessment. Experience with designing research protocols, preferably with a focus on longitudinal studies with developmental populations. • Demonstrated experience developing, deploying and managing web portals Advanced knowledge of developing data collection, reporting, and visualization tools, including automated reports using Quarto / R Markdown and/or interactive web applications / dashboards using the R Shiny framework. Experience with managing backend and frontend development for web portals and applications, including coordination between multiple development teams • Solid project management experience in a biomedical or research organization. Exceptional attention to detail, diligence, strong organizational skills, and ability to prioritize and adapt as necessary. Experience developing, maintaining, and executing project management plan to coordinate complex, high impact projects. • Strong theoretical background in and practical experience with scientific research in psychology, cognitive science, neuroscience, or a related field as evidenced by an advanced degree, including relevant research study techniques, or an equivalent combination of education and research experience. • Advanced knowledge and proven ability to manage, analyze, and interpret large scientific datasets from multiple assessment domains. Experience in designing and conducting experiments, collecting data, and reporting results. • Advanced experience with the design of the electronic data capture instruments using REDCap. Experience with management and configuration of the REDCap platform for complex, multi-site data collection, including integration with third-party assessment and data capture tools using the REDCap API. PREFERRED QUALIFICATIONS • PhD preferred. SPECIAL CONDITIONS • Employment is subject to a criminal background check. Pay Transparency Act Annual Full Pay Range: $112,100 - $216,500 (will be prorated if the appointment percentage is less than 100%) Hourly Equivalent: $53.69 - $103.69 Factors in determining the appropriate compensation for a role include experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. The Hiring Pay Scale referenced in the job posting is the budgeted salary or hourly range that the University reasonably expects to pay for this position. The Annual Full Pay Range may be broader than what the University anticipates to pay for this position, based on internal equity, budget, and collective bargaining agreements (when applicable). Apply Now If employed by the University of California, you will be required to comply with our Policy on Vaccination Programs, which may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements. If applicable, life-support certifications (BLS, NRP, ACLS, etc.) must include hands-on practice and in-person skills assessment; online-only certification is not acceptable. UC San Diego Health Sciences is comprised of our School of Medicine, Skaggs School of Pharmacy and Pharmaceutical Sciences, The Herbert Wertheim School of Public Health and Human Longevity Science, and our Student Health and Well-Being Department. We have long been at the forefront of translational - or "bench-to-bedside" - research, transforming patient care through discovery and innovation leading to new drugs and technologies. Translational research is carried out every day in the hundreds of clinical trials of promising new therapies offered through UC San Diego Health, and in the drive of our researchers and clinician-scientists who are committed to having a significant impact on patient care. We invite you to join our team! Applications/Resumes are accepted for current job openings only. For full consideration on any job, applications must be received prior to the initial closing date. If a job has an extended deadline, applications/resumes will be considered during the extension period; however, a job may be filled before the extended date is reached. To foster the best possible working and learning environment, UC San Diego strives to cultivate a rich and diverse environment, inclusive and supportive of all students, faculty, staff and visitors. For more information, please visit UC San Diego Principles of Community. UC San Diego Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity or sexual orientation. For the complete University of California nondiscrimination and affirmative action policy see: http://www-hr.ucsd.edu/saa/nondiscr.html UC San Diego is a smoke and tobacco free environment. Please visit smokefree.ucsd.edu for more information. UC San Diego Health maintains a marijuana and drug free environment. Employees may be subject to drug screening

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. 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 Python and/or R, 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, 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. 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. 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. DESIRED QUALIFICATIONS: • Graduate degree that emphasizes 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, metabolomics, ATAC-seq, proteomics. • Proficiency in Python and/or R and Linux bash scripting. • Experience with pipeline languages such as WDL, snakemake, and/or nextflow. • Proven track record of data and infrastructure management in an HPC (High-Performance Computing) cluster or cloud computing like Google Cloud Platform or AWS. • Experience with container systems such as setting up virtual machines and docker instances. • Experience and knowledge of code management such as GitHub. • Experience in systems biology approaches for data integration is a plus. • 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. PHYSICAL REQUIREMENTS: • Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. • Occasionally use a telephone. • Rarely writing by hand. Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. 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 $84,000 to $126,000 per annum/hour. 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. 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. 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

Description Qualifications/ Requirements... • Masters or higher degree in Bioinformatics, Computer Science, Statistics, or a related field is highly desirable. Bachelors degree required. • At least 2 years of work experience in sequencing data analysis. • Knowledge of prokaryotic and eukaryotic molecular biology and microbiology. • Solid computational skills and a deep understanding of NGS data and its analysis are required. • Experience with bioinformatics tools (Blast, Resfinder, CLC workbench, Galaxy) are required. • Coding skills in at least one language (Perl, Python, R, etc.). • Proficiency in Unix/Linux environment, including proficiency in shell scripting. • Contribute to journal publications and presentations at professional meetings. • Critical and Analytical thinking • Skill to manage multiple projects simultaneously. • Excellent communication and interpersonal skills Responsibilities • Develops and implements tools and reference databases for genomic analysis of eukaryotic pathogens • Analyze next-generation sequencing (NGS) data such as WGS and targeted sequencing and other microbiome data • Construct NGS libraries for the assigned pipeline, which may be whole genome or amplicon and operation of related sequencing platform • Generate high-quality reports for sequencing requests documentation, communicate with team members effectively, and good time management. • Interface with data scientists from across the company to leverage and develop new state of the art machine learning tools, data analysis capabilities, and informatic systems. • Training other staff on the use of relevant bioinformatics software and tools. • Collaborative attitude for department and inter-departmental activities both within the US and internationally

Overview RTI International’s Center for Informatics has an opening for Bioinformatics Lead to develop and support technical projects that involve interdisciplinary approaches and range widely in bioinformatics applications, size and scope. This role will lead and contribute to projects with federal/state agencies, research universities and the wider bioinformatics community that seek to sue and... advance interoperable healthcare data for research and clinical care. Candidate would support proposal development and project delivery through designing, developing, modifying, adapting and implementing short- and long-term solutions to interdisciplinary teams. These projects and proposals will focus on developing systems using informatics approaches to support our ability to organize, find, and analyze biological data. Additionally, the role addresses information technology (IT) needs through creation and enhancement of applications, systems architecture, network systems and applications infrastructure in collaboration with central IT groups within RTI. Responsibilities Responsibilities: • Reviews system requirements and business processes; codes, tests, debugs and implements software • Designs, develops, tests, debugs and implements operating systems components, software tools and utilities and/ or mentors staff on related tasks. • Determines systems software design • Ensures that system improvements are successfully implemented and monitored to increase • Generates systems software engineering policies, standards and • Seeks out new business development opportunities. • Oversee and mentor informatics staff on projects and technical implementations. Qualifications Qualifications: • Bachelor’s degree in Informatics, Bioinformatics, Computer Science, etc and 12 years of relevant experience or combination of education of experience. This includes a Master’s degree and 10 years or a PhD and 6 years of experience. • Excellent knowledge of MS Word, Outlook, PowerPoint, • Ability to prioritize multiple • Ability to work well with • Ability to listen and communicate well both verbally and in • Ability to work • Attention to detail and • Ability to obtain proper security clearances as noted by • Demonstration of the RTI Values and Lead Forward behaviors by all employees is critical to the Institute’s Behaviors associated with our Values and Lead Forward can been found on RTI Insider and Careers page. Preferred Specialist Skills: • Expertise in developing complex technical solutions focused on data-driven decision making and metadata management • Bioinformatics expertise • Workflow development languages (WDL) • Machine Learning and Natural Language Processing experience #LI-KV1 EEO & Pay Equity Statements For San Francisco, CA USA Job Postings Only: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Further information is available here. The anticipated pay range for this role is listed below. Our pay ranges represent national averages and may vary by location as a geographic differential may be applied to some locations within the United States. RTI considers multiple factors when making an offer including, for example: established salary range, internal budget, business needs, and education and years of work experience possessed by the applicant. Further, salary is merely one element to our offer. At RTI, we demonstrate our commitment to rewarding individual and team achievement through a total rewards package. This package includes (among other things) a competitive base salary, a generous paid time off policy, merit based annual increases, bonus opportunities and a robust recognition program. Other benefits include a competitive range of insurance plans (including health, dental, life, and short-term and long-term disability), access to a retirement savings program such as a 401(k) plan, paid parental leave for all parents, financial assistance with adoption expenses or infertility treatments, financial reimbursement for education and developmental opportunities, an employee assistance program, and numerous other offerings to support a healthy work-life balance. Equal Pay Act Minimum/Range $137,000 - $169,000

Scope of Work: • Work with the Computational team to define an IO Schema. • All code will be in a GitHub repo with a Dev and main branch with the final code being a versioned released and pushed to main... • Implement automated testing for each module so that branches can be tested before being merged to dev of main. • Modularizing this code into discrete and versioned dockers, for instance: Alignment, alignment sorting and deduplication, SV calling with HiCBreakfinder, Heatmap generation with juicer, QC metric summary, ect… • Implementing the pipeline into a WDL workflow. Would be nice to see the difference in time/price for alternatives such as Nextflow and Snakemake. • Implementation on AWS with optimized instances for each module. • Automation of the analysis pipeline so that a CRON job monitors for a manifest/config file and kicks off analysis automatically. • Basic analytics from each step in the pipeline for monitoring. • Performance assessment: Demonstrate equivalent performance of the pipeline using 5 datasets. Standard QC metrics and SV calls will be compared between the original pipeline and the new pipeline and are expected to be within a reasonable tolerance. • Training and documentation: • Provide a training session to assay team on how to create a manifest and kick of the analysis. • Provide detailed training presentation to the computational team on how the new pipeline works and any things that would be important for the team to know for long term support. • Provide a schematic/diagram of how the pipeline works and the IO at each step. • Provide technical documentation on how the pipeline works and the theory of Operation in a GitHub README.md

Summary Texas Children's Hospital & Baylor College of Medicine are inviting applications for a full-time, non-tenure-track bioinformatics faculty position at the Assistant level. This position will support and meet the analysis needs of Texas Children's Hospital's hundreds of research teams. The Bioinformaticians will work with research teams at Texas Children's Hospital to provide statistical... and bioinformatics support to investigators in clinical and basic research. Texas Children's comprehensive health care network includes our primary hospital in the Texas Medical Center with expertise in over 40 pediatric subspecialties; the Jan and Dan Duncan Neurological Research Institute (NRI); the Feigin Center for pediatric research; Texas Children's Pavilion for Women, a comprehensive obstetrics/gynecology facility focusing on high-risk births; Texas Children's Hospital West Campus, a community hospital in suburban West Houston; and Texas Children's Hospital The Woodlands, the first hospital devoted to children's care for communities north of Houston. We have also created the nation's first HMO for children, established the largest pediatric primary care network in the country, and a global health program that is channeling care to children and women all over the world. Texas Children's Hospital is also academically affiliated with Baylor College of Medicine, one of tthe largest, most diverse, and successful pediatric programs in the nation. Job Duties • Performs computational analysis and interpretation of data for projects and research grants. • Implements standard and advanced bioinformatics methodology and pipelines. • Design computational strategies to answer biological and biomedical questions. • Performs other tasks as assigned by senior faculty, including protocol reviews, • statistical/analytical report generation, manuscript preparation, and review of bioinformatics • literature. • Effectively interacts and presents results to investigators. • Supervises staff data analysts to support clinical and basic researchers in the • Department/Hospital. • Contributes to the publication of peer-reviewed scientific manuscripts. • Contributes to team science and/or independent grant applications. • May assist and train users/staff/trainees on bioinformatics analysis. • Performs other job-related duties as assigned. Minimum Qualifications • A Ph.D. in bioinformatics, computational biology, or related disciplines is required. • Research experience with Omics data is required. • At least 2-3 years' experience as a bioinformatician or computational biologist in a biological • and/or health-related setting. (Postdoc training counts; Successful Ph.D. graduates with strong • publications are encouraged to apply). • Strong programming skills. • Excellent oral and written communication skills. • Working knowledge of an array of advanced bioinformatics techniques. • Experience with grant development and/or successful grant funding Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer. 17806

The Bhattacharya Lab for Computational Genomics in the Department of Epidemiology current has a funded open postdoctoral position to develop and apply computational methods to study the genetic and molecular etiology of breast cancer and/or pregnancy and childhood outcomes. The prospective Postdoctoral Fellow will have the opportunity to lead one of many ongoing projects as well as sufficient... resources and multiple collaborative avenues to pursue independent research interests. The Bhattacharya Lab has ample computational resources, experimental and wet laboratory resources, access to novel genomic data, and multiple collaborators both within and outside MD Anderson. We are committed to the training of the prospective Postdoctoral Fellow for their future career goals. Applicants with a background in statistics, computer science, computational biology/bioinformatics are especially encouraged to apply. LEARNING OBJECTIVES Gain or advance skills in analysis of novel genetic and transcriptomic data using machine learning and bioinformatic approaches, surrounding the study of germline genetic effects on breast cancer risk/mammographic density or placental function/pregnancy and childhood outcomes. Analysis of genetic, transcriptomic, and methylomic data to detect susceptibility genes for breast cancer risk/mammographic density or placental function/pregnancy and childhood outcomes from patient samples. Gain or advance skills in development of scalable statistical or computational genomics tools to analysis genetic and transcriptomic data. Develop computational software for statistical methods for analysis of genetic and transcriptomic data. Learn to develop independent lines of research. With support of faculty mentor(s) independently develop new lines of research. ELIGIBILITY REQUIREMENTS We are searching for a recent (or soon-to-be) Ph.D. graduate with formal training in one or more of the following: statistical human genetics, bioinformatics, genetic/molecular epidemiology, computational genomics or biology, statistics, or biostatistics. We encourage candidates with programming experience (e.g., R, python, C++, etc). The ideal candidate will have strong input about the nature and course of research projects aligning with the lab goals of applying statistical genomics and molecular epidemiology principles to understanding breast cancer and developmental trait etiology. Applicants with experience working with genetic/sequencing data, multi-omics datasets, and/or clinical data are encouraged to apply. POSITION INFORMATION MD Anderson follows the NIH stipend levels as outlined by the Kirchstein - NRSA. This full-time trainee position will provide a salary between $56,484 to $68,604, dependent upon the years of postgraduate experience. MD Anderson offers compensated trainees: - Paid medical benefits (zero premium) starting on first day for trainees who work 30 or more hours per week - Group Dental, Vision, Life, AD&D and Disability coverage - Paid Education Vacation and Sick Leave - Paid institutional holidays, wellness leave, childcare leave and other paid leave programs - Teachers Retirement System defined-benefit pension plan and two voluntary retirement plans - Employer paid life, AD&D and an illness-related reduced salary pay program - Health Savings Account and Dependent Care Reimbursement flexible spending accounts - Fertility benefits - State of Texas longevity pay - Extensive wellness, fitness, employee health programs and employee resource groups