Bioinformatics Jobs

The Laboratory of Dr. Hongbo Chi in the Department of Immunology at St. Jude Children’s Research Hospital is seeking a highly motivated Bioinformatics Analyst to lead the analysis of multi-omics studies in molecular and systems immunology and immuno-oncology. We are particularly interested in understanding the metabolic programs, signaling pathways and systems-level regulatory networks in basic T... cell and dendritic cell biology and antitumor immunity. The Chi Lab is recognized for its expertise in investigating immunologic mechanisms underlying cancer and other diseases, with a track record of publications in top-tier journals such as Nature, Cell, Nature Immunology, Immunity, Nature Cell Biology and Cell Metabolism. Please see the following articles published over the past few years for additional information: Nature Reviews Immunology (2022); Immunity 55:14 (2022); Nature Chemical Biology 18:470 (2022); Nature 607:135 (2022); Nature Cell Biology 24:1642 (2022); Nature 600:308 (2021); Nature 595:724 (2021); Nature 591:306 (2021); Cell 184:1245 (2021); Nature Reviews Immunology 20:55 (2020); Cell Metabolism 32:996 (2020); Nature 565:101 (2019); Nature 576:471 (2019); and Nature 558:141 (2018). In this position, the candidate will perform cutting-edge computational analyses of multi-omics datasets derived from immune and other (e.g. tumor) cells. The candidate will work closely with other lab personnel including systems immunologists. These efforts will involve highly integrative studies consisting of comprehensive bulk and single-cell omics datasets, including RNA-seq, ATAC-seq, ChIP-seq, CUT&RUN, proteomics, and CRISPR screening. A deep understanding of immunology, genetics, or epigenetics, strong problem-solving skills, attention to detail, critical thinking, and expertise in NGS data analysis is critical for this position. This individual is expected to have the capacity to execute proficient computational analyses and troubleshoot independently, to communicate effectively with the PI, scientists, postdocs, and other collaborators, and to thrive in a highly collaborative team environment. Take advantage of this opportunity to leverage your skills in bioinformatics and help save the lives of children from all around the world! This position is an on-site job located in Memphis, TN, and relocation assistance is available. Job Responsibilities: • Evaluate data for quality assurance and mine relevant (e.g., bioinformatics, biomedical, cheminformatics) databases. • Perform basic analysis, algorithm implementation, programming, and quality check on data to be loaded into a biomedical database. • Assist in adopting new and improved tools and web-based applications. • Assist in the evaluation of products and solutions pertaining to St. Jude's technology needs, in maintaining databases or data warehouse and project reports. • Work with stakeholders (e.g., HPFC, IS, vendors) to ensure tools are up to date and maintain databases. • Perform other duties as assigned to meet the goals and objectives of the department and institution. • Maintains regular and predictable attendance. 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 preferred. Minimum Experience: • Minimum Requirement: 2+ years of relevant experience required. • Experience Exception: Master's degree and no experience. • Experience in at least one programming or scripting language and at least one statistical package, with R preferred. • Experience in next-generation sequence analysis or imaging analysis is preferred. • Experience in working with high-throughput data sets in a highly competitive environment is preferred. • Experience in working on a team project is preferred. • Cross-training in biological sciences (e.g. genomics, immunology, transcriptomic, and epigenetics) is preferred. • Scripting experience using a statistics package such as R is preferred. 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. Other Information 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

Requisition ID: 2023-7242 # of Openings: 1... Job Locations US-UT-Logan Category (Portal Searching): Research (non-Faculty) Position Type: Benefited Full-Time Job Classification: Exempt Percent of Time or Hours per Week 100% Time College: College of Science Department: Biology Advertised Salary Commensurate with experience, plus excellent benefits Telework Eligible Yes Overview The Beenome100 Project is an exciting new initiative to provide over 100 reference-quality genome assemblies, annotations and post-annotation resources for bee species representing each of the major taxonomic groups in the United States. We are seeking a Bioinformatics Data Wrangler (Researcher III) to provide post-annotation resources for the Beenome100 Project, in collaboration with the i5k Workspace@NAL project (https://i5k.nal.usda.gov/). The incumbent will add capacity to both projects to: • Generate new shared datasets for the project, to be displayed and disseminated at the i5k Workspace@NAL (e.g. population genomic tracks, protein alignments from related species, etc). • Manually review, and if needed, update gene predictions relevant to social evolution or other target fields of the Beenome100 project. • If desired, author peer-reviewed publication(s) or conference presentation(s) on topics relevant to the project. Preferred start date is Spring 2024 with an initial 1 year term renewable upon satisfactory performance. Review of applications will begin January 2, 2024, and will continue until the position is filled. This position is telework eligible within the state of Utah. Telework outside of the state of Utah is subject to review and approval by the University prior to a job offer being extended. Responsibilities • Develop and/or maintain workflows and workflow documentation for generating datasets relevant to Beenome100 project needs (e.g. population genomic tracks, protein alignments from related species, etc); [45%] • Use workflows to generate datasets and load them into the i5k workspace@NAL; [30%] • Manually curate genes and gene families identified by the Beenome100 community as high priority in the Apollo software; [10%] • Contribute to preparation of reports, publications, and presentations related to your work; [10%] • Actively participate in regular Beenome100 and i5k Workspace project meetings. [5%] Qualifications Minimum Qualifications • Ph.D. in biological sciences or related field; OR Master's degree in biological sciences or related field AND 4 years' related experience • Demonstrated bioinformatics programming skills (using e.g. Python, perl, R) • Experience with unix or linux command line • Strong written and oral English communication skills Preferred Qualifications • 2+ years (Ph.D.) or 6+ years (Masters') of post-degree experience in bioinformatics programming • Research experience in insect molecular biology or insect evolutionary biology • Experience in manual gene curation • Experience with workflow languages (e.g. common workflow language, nextflow, snakemake, or other) Knowledge, Skills, and Abilities • Ability to work independently and as part of a team • Strong communication skills • Proficiency in generating bioinformatics pipelines in relationship to evolutionary genomics or other related fields • Problem solving, especially as it pertains to bioinformatics and coding issues Required Documents Along with the online application, please attach: • Resume/CV to be uploaded at the beginning of your application in the Candidate Profile under "Resume/CV" • Cover letter to be typed/pasted at the end of your application • *Document size may not exceed 10 MB.** Advertised Salary Commensurate with experience, plus excellent benefits ADA Employees work indoors and are protected from weather and/or contaminants, but not, necessarily, occasional temperature changes. The employee is regularly required to sit and often uses repetitive hand motions. University Highlights Founded in 1888, Utah State University is Utah's premier land-grant and space-grant university, with a strong commitment to excellence, access, and inclusion. USU serves approximately 27,500 students throughout the state at three residential campuses, eight statewide campuses, and 23 education centers. USU Online has served students from all 50 states and 55 countries for over 25 years, and USU Extension provides outreach and service to all counties in Utah. As a land-grant university, USU engages communities and empowers people to lead successful lives of involvement, innovation, and impact. As an R1 research institution, USU provides a high-quality undergraduate and graduate education at an affordable price. Washington Monthly has consistently ranked USU in the top 10 among public universities for contribution to social mobility, research, and public service. Utah State is committed to cultivating a diverse, equitable, and inclusive community where different perspectives, values, cultures, and identities are acknowledged, welcomed, and valued. We seek to recruit, hire, and retain people from all walks of life who will champion excellence in education, research, discovery, outreach, and service. We believe that promoting a strong sense of community and belonging empowers and engages all members of USU to thrive and be successful. Learn more about USU. The university provides a Dual Career Assistance Program to support careers for partners who are also seeking employment. Additionally, USU is committed to providing access and reasonable accommodations for individuals with disabilities. To request a reasonable accommodation for a disability, contact the university's ADA Coordinator in the Office of Human Resources at (435) 797-0122 or hr@usu.edu. 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The Logan metro area claimed the top spot in the Milken Institute's 2022 ranking for best-performing small cities in the nation. • updated 7/2023 Notice of Non-discrimination In its programs and activities, including in admissions and employment, Utah State University does not discriminate or tolerate discrimination, including harassment, based on race, color, religion, sex, national origin, age, genetic information, sexual orientation, gender identity or expression, disability, status as a protected veteran, or any other status protected by University policy, Title IX, or any other federal, state, or local law. The following individuals have been designated to handle inquiries regarding the application of Title IX and its implementing regulations and/or USU's non-discrimination policies: Executive Director of the Office of Equity Matthew Pinner, discrimination@usu.edu, Distance Education Rm. 401, 435-797-1266 Title IX Coordinator Cody Carmichael, titleix@usu.edu, Distance Education Rm. 404, 435-797-1266 Mailing address: 5100 Old Main Hill, Logan, UT 84322 For further information regarding non-discrimination, please visit https://equity.usu.edu/, or contact: U.S. Department of Education, Office of Assistant Secretary for Civil Rights, 800-421-3481, OCR@ed.gov • updated 09/2023

Job Number: R0186023 Bioinformatics Specialist... The Opportunity: Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection to cancer research, to national intelligence — you know the answers are in the data. We have an opportunity for you to use your analytical skills to improve public health. You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll analyze analytics and automation and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help the client make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in public health. Join us. The world can’t wait. You Have: • Experience with bioinformatics and genomic toolkits, databases, and scripting languages, including Python, R, and Shell • Experience with using parallel programming capabilities through workflow tools, including Snakemake or Nextflow, on Linux based high-performance computing environments • Experience with next-generation sequencing, omics data analysis, and open-source omics analysis tools and workflows as they apply to public health genomics • Experience with data management using SQL and NoSQL based technologies • Knowledge of statistical techniques, including multivariate analysis and hypothesis testing for omics data analysis • Ability to conduct analysis, interpretation, and communication of complex large datasets independently clearly and concisely • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements • Master’s degree Nice If You Have: • Experience with incorporating CI/CD, DevSecOps, and MLOps best practices into the development process • Experience with working in cloud based environments using AWS and Azure and data warehousing solutions, including Databricks • Experience with a wide range of supervised and unsupervised machine learning techniques, including neural networks, decision trees, logistic regressions, or dimension reduction • Experience with visualization tools, including Power BI, Tableau, ArcGIS, or Splunk • Experience with SAS and SSPS programming using advanced programming methods and techniques • Ability to write white papers and scientific and technical manuscripts for publication • Master's degree in Bioinformatics, Math, Biostatistics, Physics, Analytics, Computer Science, Data Science, Epidemiology, or Life Science or Doctorate degree in Bioinformatics, Math, Biostatistics, Physics, Analytics, Computer Science, Data Science, Epidemiology, or Life Science Vetting: Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client. Create Your Career: Grow With Us Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms. A Place Where You Belong Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll build your community in no time. Support Your Well-Being Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home. Your Candidate Journey At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we’ve compiled a list of resources so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $81,800.00 to $186,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. • If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility. • If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role. EEO Commitment We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law

• Develops and manages a specific bioinformatics, computational biology or quantitative genomics project within the research program under the supervising faculty member. • May prepare and submit funding applications within the content areas of the supervisor with permission of the supervisor. • May manage a small research group; conducting reviews and evaluating work... • Leads discussions regarding experimental design, data analysis and interpretation of results. • May represent the supervising faculty member in leading the research group as needed. • Responsible for gathering preliminary data for grant applications, completion of objectives of funded external grants, and preparation of completed work for publication. • Contributes to writing grant applications or manuscripts. • May serve on research committees. • Collaborates and leads genomics and bioinformatics analysis for clinical faculty and other investigators. • Performs literature searches to gather information pertaining to research projects or analytical methods in order to develop new protocols, research projects or grant applications for the work group. • Advises other research employees regarding technical and analytical problems within area of expertise. • Participates in work group meetings and formal seminars to present, explain, and discuss research interests. • Makes presentations to extramural audiences at national meetings and academic institutions. Work is typically performed in an office environment. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job

The Department of Medicine, Division of Cardiovascular Medicine at Stanford University, is seeking a highly motivated Bioinformatics Engineer to join the Bioinformatics Core (BIC) of the Molecular Transducers of Physical Activity Consortium (MoTrPAC). MoTrPAC is part of the Common Fund Data Ecosystem (CFDE) and aims to build a comprehensive molecular map of physical activity. The BIC is... responsible for managing, analyzing, and disseminating large volumes of molecular and clinical data generated by the consortium through the Google Cloud Platform. As a Bioinformatics Engineer, you will play a key role in developing pipelines and tools for the analysis and integration of multiomics datasets and enabling analytical insights. The Common Fund Data Ecosystem (CFDE) is a collaborative effort by the National Institutes of Health (NIH) to establish a shared infrastructure that supports the efficient and effective management, analysis, and dissemination of biomedical research data. The CFDE aims to harmonize data management practices and facilitate data sharing across the scientific community, enabling researchers to work with large, complex datasets and extract new insights. As part of the MoTrPAC consortium, the Bioinformatics Core (BIC) is contributing to the CFDE by developing cutting-edge infrastructure to manage and analyze large volumes of molecular and clinical data generated by the consortium. The BIC's work will help advance the CFDE's mission of promoting data-driven research and accelerating scientific discoveries. As a Bioinformatics Engineer, you will have the opportunity to work within this ecosystem and contribute to the development of innovative solutions that facilitate data sharing and promote scientific collaboration. This is an exciting opportunity to work in a data federation and be part of a cutting-edge project that integrates a variety of molecular data types, including genomic, epigenomic, transcriptomic, proteomic, and metabolomic data, to advance the understanding of how physical activity improves and preserves health. You will have opportunities for cross-disciplinary collaboration and engagement with clinical, translational, wet lab, and dry lab researchers. To be successful in this role, you must have a strong background in bioinformatics and experience working with large-scale biological datasets. Proficiency in programming languages and exposure to high-performance computing environments is essential. You will be expected to participate in software development projects and have the ability to understand biological experiments. A complete application will include a cover letter highlighting your interest in the project and relevant qualifications. Duties include: • Collect, manage and clean datasets. • Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. • Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. • Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. • Develop reports, charts, graphs and tables for use by investigators and for publication and presentation. • Analyze data processes in documentation. • Collaborate with faculty and research staff on data collection and analysis methods. • Provide documentation based on audit and reporting criteria to investigators and research staff. • Communicate with government officials, grant agencies and industry representatives. 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: • Experience as a research assistant or similar. • Experience (including any graduate school) developing tools for data analysis. • Proficiency in python and/or R programming languages. • Experience with cloud computing environments. • Exposure to container systems such as setting up virtual machines and Docker instances. • Biological domain knowledge (exercise science is a plus). • Experience with omics projects. • An understanding of data modeling including ontologies and database design. • Strong data analysis skills to identify patterns, relationships, and inconsistencies within metadata. • Experience in working with large-scale data repositories and data management systems. EDUCATION & EXPERIENCE (REQUIRED): • Bachelor's degree or a 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. • Strong 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 $64,480 to $97,000 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. 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

Job Summary The Bioinformatics department has an opening for a Data Scientist I. This role will employ a highly skilled data scientist with expertise in developing machine learning models to curate and analyze large, multi-modal datasets generated by the SimCenter at UT Southwestern Medical School. Experience with using machine learning for analyses of video-based data sets is a plus. They will... work closely with our software and AI engineers to ensure that the models are integrated into actionable user interfaces. Job Duties • Analyzes and develops formalisms, algorithms and software for applications in biomedical research. • Develops and maintains software tools and infrastructure for resolving specific problems. • Assists in the development, testing and revision of programs in a team with diverse bioinformatics expertise. • Performs other duties as assigned. Responsibilities: • Clean, organize, and analyze large, multi-model data sets • Build, train, test, and evaluate machine learning models on our proprietary data sets • Understand and implement the latest video-based machine learning models • Continuously improve the performance of the models by analyzing results and experimenting with different techniques • Collaboratively ensure the models are integrated into the user interfaces. Experience and Education M.S. in Computer Science, Bioinformatics, (Bio)mathematics, (Bio)statistics, Physics, Electrical Engineering, or related field OR B.S. with demonstrated experience in broadly defined areas of bioinformatics. 0 - 2 years post-graduation experience in data analysis and/or scientific software development. Technical Skills/Specifications: • Strong experience with Python and related data science libraries such as Pandas, Numpy, Scikit-learn. • Strong experience with machine learning frameworks such as Tensorflow or PyTorch. • Experience with video analysis with machine learning, specifically with CNNs and other deep learning models. • Experience with data visualization tools such as Matplotlib or Seaborn. • Strong understanding of data science and machine learning principles and best practices. • Experience with cloud platforms such as AWS or GCP. • Strong debugging and problem-solving skills. Why UT Southwestern? With over 75 years of excellence in Dallas-Fort Worth, Texas, UT Southwestern is committed to excellence, innovation, teamwork, and compassion. At UT Southwestern, we invest in you with opportunities for career growth and development that align with your future goals and help to provide security for you and your family. Our highly competitive benefits package offers healthcare, PTO and paid holidays, on-site childcare, wage, merit increases and so much more that are all available on the day you start work. UT Southwestern is honored to be a Veteran Friendly work environment that is home to approximately 800 veterans. We value your integrity, dedication, and the commitment you’ve made to our country. We’re proud to support your next mission. Ranked by Forbes as one of the Top 10 National Employers, we invite you to be a part of the UT Southwestern team where you’ll discover teamwork, professionalism, and consistent opportunities for growth. This position is security-sensitive and subject to Texas Education Code §51.215, which authorizes UT Southwestern to obtain criminal history record information. UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status. To learn more, please visit: https://jobs.utsouthwestern.edu/why-work-here/diversity-inclusion

The Lead/Senior Bioinformatics Research Scientist performs data analysis, data visualization, statistical analysis, experimental design, database development, mathematical modeling, and novel method development with a focus on the Genomics data. Provides bioinformatics analysis for investigators and communicates analytical process and results. The Genomics Group from the Center for Applied... Bioinformatics at St. Jude Children's Research Hospital is looking for a highly motivated and creative Senior Bioinformatics Research Scientist or Bioinformatic Research Scientist to develop and apply innovative analytical approaches to understand the underlying mechanisms that drive pediatric cancers and other human diseases. Working for all different projects together with different PIs, employee could make a valuable difference not only to science but also to pediatric cancer patient curation and survival. Besides the various analysis tasks, we also encourage exploring newly available methods, pipeline development could result in first author, high profile publications, as long as it aligns with our ultimate goal: “Finding cures. Saving children”. The Center provides a highly interactive environment with collaborative opportunities within the centers including transcriptomics group, genomics group, and genetics group, and across basic and clinical departments, access to high-performance computing clusters, cloud computing environment, novel sequencing platforms such as long reads sequencing technologies, single-cell sequencing at both DNA and RNA level and spatial transcriptomics, innovative visualization tools, highly automated analytical pipelines powered by GPU technology and mentorship from scientists with deep experience in data analysis, data management and delivery of high-quality results for highly competitive projects. The members of this Center could work on broad areas of bioinformatics and gain valuable experiences. The members of this Center also have the opportunity to publish high-profile papers with prominent authorship and file patents for novel biomarker discoveries or novel methods for clinical diagnosis or disease treatment. Good candidates will have experience in building and optimizing analysis workflows using publicly available software/pipelines for high-throughput next-generation sequence data analysis (such as whole-genome sequencing, whole-exome, targeted sequencing and so on) under Linux/Unix environment. The successful candidate is expected to have good programming skills in Bash, Python, and R. Experience with cancer genomics is a plus. St. Jude has been frequently made up to Great Place to Work list such as in Fortune magazine’s “Best Workplaces in Health Care & Biopharma™ 2020” list and GlassDoor's "BEST PLACES TO WORK 2023" list. Salary is highly competitive (comparable to industry) and employee benefits are outstanding. This position is located at Memphis, TN, and relocation assistance is available. Responsibilities • Specific responsibilities may involve NGS data quality control, integrative analyses, data visualization, developing and evaluating analytic tools • Excellent communication skills are essential • You will work closely with St. Jude PIs to provide standardized/customized analysis, using St. Jude high-performance computing clusters or a cloud computing environment Minimum Requirements • 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. Lead Bioinformatic Research Scientist • Minimum Requirement: Bachelor's degree with 10+ 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 8+ years of relevant post-degree experience (OR) PhD with 5+ years of relevant post-degree experience. • Substantial experience in at least one programming or scripting language and at least one statistical package, with R preferred. Senior Bioinformatics Research Scientist • 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 Bioinformatics Research Scientist • 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. • Significant experience in at least one programming or scripting language and at least one statistical package, with Python preferred Other Information 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

Scientist, Bioinformatics Doppler Bio is developing a next-generation programmable precision genetic medicine platform with the potential to transform gene therapy and cell engineering. The company is founded by world leading CRISPR, gene editing, and molecular biology pioneers from MIT, Broad Institute, Harvard and Duke Universities and world-class investors using a novel targeted cell and gene... therapy platform. The company's early scientific team will play a leading role to translate the technology, define the early clinical pipeline, develop the scientific strategy for key preclinical experiments, and work at the forefront of gene editing therapeutic development. JOB DESCRIPTION We are looking for a highly motivated, innovative, enthusiastic, and collaborative bioinformatic and computational biologist to be part the company's foundational science team to work on groundbreaking programable next generation genetic medicines. This individual will play key roles in mining multiple internal and external gene expression datasets from human patients, extracting transcript enrichment profile for tissues, cell types and cell states, developing a bioinformatic pipeline for multi-omics data sets including experimental NGS data sets generated by the platform team and designing nucleic acid therapeutics via sequence and structure optimization. A critical component of the job will be to design and develop innovative analysis strategies to generate therapeutic hypotheses for smart next-gen cell and gene therapies. This position offers significant growth opportunities in a rapidly growing dynamic startup. RESPONSIBILITIES The candidate will lead the bioinformatic and computational biology efforts as part of a dynamic and growing platform technology development team. In this role, the candidate will be using innovative genomics techniques, single cell sequencing and machine learning tools for the discovery of new targets and design of best-in-class smart, precise and target specific nucleic acid therapies. • Find, access, and analyze large patient datasets to identify, prioritize and validate RNA targets using available and newly developed bioinformatic tools and standard statistical analyses. • Develop computational tools for combinatorial optimization of RNA sequence and structural elements to design best-in-class next-gen RNA therapeutics. • Work with RNA specialists and cell biologists to experimentally build and evaluate the design and utilize the learnings to continually improve the design algorithm. • Identify, evaluate, and implement novel technologies, concepts, tools, and algorithms from emerging scientific literature. • Generate meaningful research and clinical hypotheses by leveraging genomics data sets in a variety of therapeutic areas. • Effectively communicate the research findings to internal and external collaborators REQUIREMENTS • A Ph. D or M.S in Bioinformatics, Computer Science, Biology, or related field with a minimum of 2 years of experience in computational biology and genomics required. • A strong background in single cell genomics, data mining, algorithm development • Ability to innovate, apply and develop new tools for the integrative analysis and visualization of multi-dimensional genomics datasets. • Familiarity with bioinformatic applications and computational tools used in the discovery and development of RNA therapeutics, RNA structure predictions is preferred. • Experience with machine learning algorithms and data mining methods is preferred but not required. • Proficiency with Python, R, or other scripting languages for statistical computation. • Experience with cloud computing, documenting and managing code/pipelines on Github. • Desire to work in a fast-paced, highly collaborative startup environment to integrate the latest in computational biology, genomics, and machine learning algorithms to design therapies. • Ability to thrive in a dynamic, rapidly growing startup advancing precision medicine while engaging with world class founders from MIT, Borad, Harvard, and Duke • Ability to adapt to increasing scope and complexity of work brought on by growth/change and helps others manage through change. • Strong written and oral communication skills • Knowledge of industry trends and ability to utilize that knowledge to meet business needs

Payroll Title: BIOINFORMATICS PROGR 2 Department: CHEMISTRY & BIOCHEMISTRY Hiring Pay Scale... $60,000/year Worksite: Campus Appointment Type: Contract Appointment Percent: 100% Union: Uncovered Total Openings: 1 Work Schedule: 8 hrs/day, Mon - Fri, occasional overtime as needed #126859 Bioinformatics Programmer 2 Filing Deadline: Thu 12/7/2023 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 100% Contract position for one year. This appointment may be extended or converted to career status based on the needs of the department. DESCRIPTION UC San Diego is a student-centered, research-focused, service-oriented public institution, recognized as one of the top 15 research universities worldwide. The University fosters a culture of collaboration that sparks innovative discoveries that advance society and drive economic impact. The Department of Chemistry and Biochemistry (Chem/Biochem) is one of the largest and most complex departments on campus. Our department combines research on the most consequential and revelatory scientific areas with education aimed at building our future leaders and scientists. Chem/Biochem strives to be a top-ranked and recognized leader in the chemical and biochemical sciences through transformative research and impactful educational programs. We are committed to excellence in teaching and mentoring excellence and supporting students and postdoctoral researchers in safe and inclusive environments as they prepare to become leaders in science and society. We value collegiality, equity and diversity with the Department, and promote a culture of collaboration and transparency. We aim to enhance our impact in local and global communities through partnerships with other educators, industry, government and professional societies. Chemistry and Biochemistry is one of the largest and most complex departments on campus. The department’s organization is divided among three major academic sections each with its own leadership (Section Chair and Vice Chair) representation under the Department Chair: Physical, Analytical & Environmental (PAE); Biochemistry & Biophysics (BB); and finally Synthesis, Materials and Chemical Biology (SMCB). The department is comprised of 73 ladder rank faculty, an additional 15 in various instructional titles, and ~150 in academic research titles and postdoctoral scholars. The department is comprised of 100 career staff; ~60 temporary or student staff, and 400 Master’s and Ph.D. students. There are 1,700 undergraduate students enrolling in 5 majors with total annual course enrollments exceeding 27,000. Chem/Biochem manages $30 million annually in extramural funding and approximately $63 million in total annual expenditures. The Department occupies space in 7 buildings, totaling 237,000 ASF, including class laboratories and instructional support space, research labs, and recharge facilities. Additional information can be found on our webpage at chemistry.ucsd.edu. Uses state-of-the-art bioinformatics concepts and machine-learning algorithms to develop and utilize computational tools and systems to analyze and interpret cryogenic electron microscopy (cryoEM) data. Will work as part of a collaborative team on the development of a machine-learning algorithm for cryoEM data, develop cryoEM data processing strategies, write and curate code for cryoEM data interpretation, and develop relevant hands-on learning materials. Utilizes and develops algorithms, computational techniques, and statistical methodologies. Helps in the design of new experiments. Implements end-user needs for algorithm usage and interpretation. Manages code hosting on online repositories and necessary material for end user utility. QUALIFICATIONS • Working knowledge of bioinformatics methods and data structures. Experience developing and debugging machine learning algorithms. • Working knowledge of applications programming and web development. Ability to write and curate code for cryogenic electron microscopy (cryoEM) data analyses. • Working knowledge of databases. • Working project management skills. • Working knowledge of modern biology and applicable field of research. Theoretical knowledge of Biology, Molecular Biology, Structural Biology, and Biochemistry or other related field generally acquired through a Bachelor’s Degree; or an equivalent combination of education and experience. • Interpersonal skills in order to work with both technical and non-technical personnel at various levels in the organization. Good interpersonal communication skills including tact, diplomacy, and flexibility with students, staff, faculty, and visitors of various cultures and backgrounds. • Ability to communicate technical information in a clear and concise manner. Ability to follow verbal and written instructions and procedures. • Self-motivated, able to learn quickly, meet deadlines and demonstrate problem-solving skills. Ability to maintain confidentiality of matters related to work. • Working knowledge of application and data security concepts. • Experience in Python coding and management of Github repositories. • Enthusiasm for learning and a genuine interest in scientific research. Willingness and ability to learn new skills, research methods, and scientific principles. • Experience with cryoEM sample preparation, data collection, and/or data processing. • Ability to record scientific data in a well-organized laboratory notebook. Good organizational skills including ability to keep clear and accurate records. • Knowledge of hazard communication and injury and illness Prevention Program. Knowledge of laboratory safety precautions including appropriate clothing and shoes, safe handling of chemical, use of protective items such as gloves and goggles, etc. SPECIAL CONDITIONS • Background check required. Pay Transparency Act Annual Full Pay Range: $59,700 - $124,300 (will be prorated if the appointment percentage is less than 100%) Hourly Equivalent: $28.59 - $59.53 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. 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. The University of California 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

• Job Type: Officer of Administration • Bargaining Unit: • Regular/Temporary: Regular... • End Date if Temporary: • Hours Per Week: 35 • Standard Work Schedule: M-F 9am-5pm • Building: • Salary Range: $80,000 - $95,000 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Summary We are looking for an enthusiastic and energetic individual to join our research effort investigating genetic and molecular variation in the context of human aging, with a focus on brain tissue. This position will work with Menon lab and other inter-disciplinary teams as part of consortium-wide projects to incorporate existing and new experimental data on the trajectory of human aging and neurological disease. The candidate will develop, execute, and maintain bioinformatics pipelines to process and analyze genetic, imaging, transcriptomic (bulk and single-nucleus RNA-seq), epigenetic, and proteomic data from mouse and human brains. In addition, the candidate will incorporate analysis results into a parse-able format for non-bioinformatics experts. The ideal candidate should have a quantitative background (Computer Science, Statistics, Biostatistics, Computational Biology, Applied Mathematics, Computational Neuroscience, Genomics, or Bioinformatics), and extensive experience in standard workflows for analysis of large-scale molecular and imaging data, specifically to answer questions about aging associated changes in human and model system data. In-depth knowledge of at least one flavor of data (genetics, transcriptomics, epigenetics, or proteomics) is required, as well as prior experience with image analysis. Successful applicants will receive on-the-job training for other data modalities in the Menon lab. The candidate should have good knowledge of programming languages for implementing computational algorithms on large-scale data (R, Python, Perl), as well as experience working in Linux/Unix on high-performance computing/cluster platforms. The successful candidate will be part of an integrated team of neurologists, data scientists, and cell biologists who come together to perform team-based projects. The position therefore offers a stimulating and multi-disciplinary environment and the opportunity to work with a variety of researchers at Columbia University and beyond. There will be many opportunities to contribute to multiple ongoing national and international collaborative projects. Responsibilities • Responsible for assembling, executing, and developing the latest bioinformatics pipelines for primary analysis of ‘omics data in the context of aging. • Responsible for importing, developing, and implementing image analysis pipelines for tissue-level analysis of cell signatures • Contribute to QA/QC of published and newly generated data sets. • Develop analysis workflows to answer targeted questions about changes in molecular profiles in healthy aging or disease in human. • Display initiative and independence in providing rapid results to various investigators generating experimental data. • Communicate results to non-bioinformatics experts and develop novel analysis approaches in response to new questions or insight. • Prepare summary reports of data and results for dissemination to colleagues and collaborators. • Directly respond to inquiries regarding projects being managed. Produce subsets of data for distribution to collaborators as approved by the principal investigators. Minimum Qualifications • Requires bachelor’s degree or equivalent in education and experience, plus four years of related experience. Preferred Qualifications • Master’s Degree or PhD in bioinformatics, computational biology, applied mathematics, computational neuroscience, computer science, statistics, biostatistics, physics, or related area. Other Requirements • Demonstrated programming skills • Demonstrated experience with building pipelines for at least one “omics” data modality (genetics, transcriptomics, epigenetics, proteomics). • Strong organizational skills in managing and analyzing large datasets • Programming experience in R, Python, Perl, or C/C++ • Ability to work independently, display initiative within a team environment, and respond rapidly to requests Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents