Bioinformatics Jobs

Novartis is seeking a Senior Bioinformatics Scientist in Data and Statistical Sciences, a subteam within the Scientific Office (SO) in Cell and Gene Therapy (CGT) Technical Research and Development (TRD). The bioinformatics lead will be working in a highly collaborative environment, the successful candidate will build and develop bioinformatics pipelines to support advancing cell and gene therapy drug development. He/she is expected to play an active role in leading and managing bioinformatics initiatives and work in close collaboration with wet lab scientists and internal and external collaborators.LI# HybridInternal Job Title: Senior Expert BioinformaticsLocation: East Hanover, NJ, Cambridge, MA or Durham, NCThis position will be located at the East Hanover, NJ, Durham NC, or Cambridge, MA site and will not have the ability to be located remotely.Responsibilities:Work as a lead bioinformatics scientist, both independently and as a member of cross-functional teams, to develop bioinformatics pipelines for cell and gene therapy products to enable deep understanding of the product, including (but not limited to) genome integrity, impurities, integration, and oncogenicity. Support next generation sequencing (NGS) method development and validation following ICH guidance.Support ad hoc NGS analysis with scientific judgement for product characteristicsSupport validation of developed bioinformatics pipelines to meet GMP testing requirements. Support responses to questions from the FDA and EMA in support of IND, BLA, and post-authorization commitments for cell and gene therapy products. Follow Novartis quality guidance to ensure the integrity and traceability of pipeline development and validationSupport bioinformatics pipeline transfer, installation, testing, and maintenance in non-GMP and GMP environments. Work with IT and engineering teams on data flow and automation of NGS data analysisProduce high quality written documentation including study protocols, data analysis plans and reports.Refine algorithms and tools for sequencing data analysis and propose improvements.Communicating internally with other departments and externally with collaborators about technological capabilities and gap analysis.Support the wider R&D team with general bioinformatics needs.Essential Requirements:PhD or equivalent in bioinformatics, computational biology, biostatistics, physics, engineering, mathematics, molecular biology, virology or related discipline.3 years of relevant industry work experience is strongly preferred, but related experience in academic settings will be considered.Work with IT and engineering teams on data flow and automation of NGS data analysis.Strong domain knowledge in genomics, excellent programming skills, and deep experience with next-generation sequencing and analysis.Strong problem-solving skill, adaptive, curious, and willing and able to learn new technologies and skills, applying this learning to the cell and gene therapy field.Knowledgeable in applying AI to software and bioinformatics pipeline development is a plus.Strong oral and written communication skills, ability to work both independently and collaboratively, to manage multiple concurrent, fast-paced projects and to work with multidisciplinary teams.Desired Requirements:Knowledgeable in applying AI to software and bioinformatics pipeline development is desiredExperience in cell and gene therapy drug development, or related fields dealing with virus-cell interactions, is desired.Experience in single cell sequencing is desired.The salary for this position is expected to range is $132,300-$245,700The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.To learn more about the culture, rewards and benefits we offer our people click here.

Labcorp is seeking a remote Bioinformatics Scientist to join our team! Work Schedule Monday – Friday, day shift Job Responsibilities • Perform routine QC and any required downstream analyses following established work instructions for production analyses. • Provide statistical analysis and/or pipeline development for new assays being brought online and validated. • Communicate progress, results, concerns, and/or troubleshooting to lab staff, project managers, and/or clients. • Act efficiently in an environment with dynamic timelines and changing priorities. • Develop a deep understanding of the assays run in the Specialty Genomics group. • Contribute to study reports, SOP creation/updates, and software lifecycle (SLC) documentation activities as needed. • Establish and foster excellent working relationships with bioinformatics team members. • Participate in client-facing meetings as needed to describe analysis activities and/or results, respond to client questions, etc. • Perform other duties as assigned. Minimum Qualifications • Master’s degree in Bioinformatics or Biology or 2 or more years professional experience in Bioinformatics • 2 or more years’ Bioinformatics experience working on NGS assays, including but not limited to RNA-Seq (bulk and single cell) and DNA (WGS, WES, targeted panels, cfDNA). • 2 or more years’ experience of scientific programming using Python and/or R. • 2 or more years’ experience in designing, coding, and validating analysis pipelines. • 2 or more years’ experience in statistical analysis methodologies. • 2 or more years’ experience in a *nix-based, command line environment, Bash, or other scripting skills. Preferred Qualifications • 2 or more years’ experience with WDL workflows in a cloud-based environment. • 2 or more years’ experience in CRO. • 2 or more years’ experience understanding requirements for working under various regulatory requirements. Additional Job Standards • Able to function in a fast-paced, high throughput environment. • Demonstrated organizational and communication skills. • Strong interpersonal and teamwork skills are essential. • Ability to prioritize workload to effectively handle several projects at any given time. • Quickly and competently train on and perform new and updated analysis methods. • Understand and perform specific tasks that need to be completed daily. • Identify and offer suggestions for process improvements. • Ability to complete written reports as part of client deliverables. • Attention to detail and ability to work under pressure to generate high quality data analysis. About Labcorp At Labcorp, we are a global leader of innovative and comprehensive laboratory services that help doctors, hospitals, pharmaceutical companies, researchers, and patients make clear and confident decisions. Through our unparalleled diagnostics and drug development laboratory capabilities, our 70,000 employees combine innovative innovation, science and technology to solve some of today’s biggest health challenges, accelerate life-changing healthcare breakthroughs and impact lives around the world. Here, you are empowered to own your career journey and create a personalized development plan with the support of your team. Application Window: April 1, 2026 – April 8, 2026 Pay Range: $85,000 - $100,000 All job offers will be based on a candidate’s skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data. Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees are only eligible to participate in the 401(k) Plan. For more detailed information, please click here.  Labcorp is proud to be an Equal Opportunity Employer: Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law. We encourage all to apply If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.

The Lyda Hill Department of Bioinformatics at the University of Texas Southwestern Medical Center is looking to hire a faculty position at the level of an Instructor. Candidates must possses a Ph.D. and postdoctoral training Job duties as Instructor include: • Organize weekly "rapid fire" paper review in lab meeting where we select the articles we read and present in the weekly journal club • In the wet-lab part of our group, train technicians, graduate students and postdocs in molecular cell biology. This includes instructions in current and novel protocols and techniques and help them setting up new assays and validate them • Bi-weekly subgroup meetings on cell and molecular biology run tutorials on novel technologies in the field of mocular biology, biochemistry and in particular all flavors of genome engineering and screening technologies • Organize seminars with field scientist who support our wet-lab equipment. Keep up to date with new technology development and helps train our students and postdocs on these instruments 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. This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information. Appointment rank will be commensurate with academic accomplishment and experience. Consideration may be given to applicants seeking less than a full-time schedule. To learn more about the benefits UT Southwestern offers, visit https://www.utsouthwestern.edu/employees/hr-resources/ Benefits UT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed to support your overall wellbeing, and include: • PPO medical plan, available day one at no cost for full-time employee-only coverage • 100% coverage for preventive healthcare – no copay • Paid Time Off, available day one • Retirement Programs through the Teacher Retirement System of Texas (TRS) • Paid Parental Leave Benefit • Wellness programs • Tuition Reimbursement • Public Service Loan Forgiveness (PSLF) Qualified Employer • Learn more about these and other UTSW employee benefits!

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description At Thermo Fisher Scientific, our mission is to enable our customers to make the world healthier, cleaner, and safer. Within the Clinical Sequencing Division, bioinformatics plays an important role in enabling precision oncology diagnostics and advancing genomic medicine. Location/Division-Specific Information: Carlsbad, CA, or Austin, TX. Relocation assistance is NOT provided. • Must be legally authorized to work in the United States without sponsorship. • Must be able to pass a comprehensive background check, which includes a drug screen. Discover Impactful Work: As a Scientist III, Bioinformatics, you will contribute to the development and maintenance of bioinformatics applications, data systems, and computational workflows that support next-generation sequencing (NGS) companion diagnostic (CDx) assay development. In this role, you will collaborate with scientists, engineers, and cross-functional partners to develop tools and workflows that support genomic data analysis, assay development, and regulated diagnostic programs. Your work will help ensure that bioinformatics systems supporting diagnostic development are reliable, reproducible, and well-documented. You will also contribute to emerging initiatives that explore the use of AI-enabled tools to enhance bioinformatics workflows, data analysis, and internal scientific applications. This position combines bioinformatics expertise with scientific software development to support scalable genomic analysis and integration with laboratory and data management systems. A Day in the Life: Bioinformatics Application Development Develop and maintain internal bioinformatics applications and computational tools to support genomic data analysis and the development of companion diagnostic assays. Workflow and Pipeline Development Implement and improve automated workflows for next-generation sequencing (NGS) data processing and analysis using scripting languages and workflow frameworks. Data Systems and Integration Support development and integration of bioinformatics workflows with data systems, databases, and laboratory information management systems (LIMS). AI-Enabled Workflow Support Contribute to the evaluation and integration of AI-enabled tools that enhance bioinformatics workflows, scientific data analysis, and internal research applications. Cross-Functional Collaboration and Documentation Work with scientists, engineers, and program teams to develop computational solutions supporting diagnostic development and document workflows to ensure reproducibility and maintainability within regulated environments. Keys to Success Education Bachelor’s in Bioinformatics, Computational Biology, Computer Science, Molecular Biology, or a related field required. Experience • 5 years of experience in bioinformatics and NGS data analysis (Advanced degree plus 3 years of experience). • Experience programming in Python or a similar language. • Experience working in Linux or Unix environments. • Experience developing or supporting bioinformatics pipelines or analysis tools. • Familiarity with next-generation sequencing (NGS) data analysis. • Experience using version control systems such as Git. • Experience collaborating with cross-functional scientific teams. Knowledge, Skills, and Abilities Programming and Scientific Computing • Proficiency in Python or similar programming languages. • Experience developing scripts, tools, or applications for scientific data analysis. • Familiarity with software development practices such as version control and documentation. Bioinformatics and Genomics • Understanding of common bioinformatics workflows and sequencing data formats. • Experience working with genomic datasets. Data Systems • Familiarity with databases or structured data systems (e.g., SQL). • Experience working with large or complex scientific datasets. Workflow and Infrastructure • Familiarity with workflow frameworks such as Nextflow, Snakemake, or similar tools. • Experience with container technologies such as Docker is helpful. • Exposure to cloud computing platforms such as AWS or GCP is beneficial. AI and Emerging Technologies • Exposure to AI or machine learning tools used in scientific computing or data analysis is a plus. • Interest in applying AI-enabled tools to improve scientific workflows. Collaboration and Communication • Ability to communicate technical information clearly. • Ability to work effectively in collaborative, multidisciplinary teams. • Strong problem-solving and analytical skills. Benefits: We offer competitive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits. Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer an exciting company culture that stands for integrity, intensity, involvement, and innovation! Compensation and Benefits The salary range estimated for this position based in California is $95,900.00–$120,000.00. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes: • A choice of national medical and dental plans, and a national vision plan, including health incentive programs • Employee assistance and family support programs, including commuter benefits and tuition reimbursement • At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy • Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan • Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards

Description We are seeking a motivated Computational / Data Science professional to support advanced, data-driven research initiatives. This role brings cutting edge computational science into real world clinical research, applying advanced theory and modern IT practices to solve complex scientific challenges. The incumbent will leverage expertise in computer science, data science, and cyberinfrastructure (CI) to design, build, and optimize high impact computational tools, algorithms, and analytical workflows that power innovative research in medicine. You’ll manage and analyze large datasets and contribute to performance optimization projects that advance scientific discovery. Ideal for candidates who enjoy working at the intersection of computation, research, and innovation in medicine. Salary: $7,950- $17,358.33 monthly

Scismic is supporting the growth of a fast-growing biotech startup focusing on animal genomics. They are seeking a Bioinformatics Scientist to transform raw sequencing data into high-impact biological insights. What You’ll Do • Pipeline Architecture: Build and manage end-to-end WGS and low-pass sequencing pipelines (QC, alignment, variant calling, and annotation). • Genomic Dataset Development: Construct and refine species-specific genotype datasets, starting with equine and expanding across multiple large animal models. • Statistical Analysis: Lead association studies (GWAS) and population genetics analyses to identify actionable genetic targets. • Reproducible Science: Maintain scalable, containerized workflows using Nextflow or Snakemake within cloud environments. • Predictive Modeling: Develop custom ML/AI frameworks to support trait modeling, animal valuation, and performance forecasting. Who You Are • Technical Expert: Strong background in NGS data analysis, specifically whole-genome sequencing (WGS) and variant discovery. • Coder: Proficient in Python and/or R, with deep comfort in Linux, HPC, or cloud computing (AWS/GCP). • Workflow Driven: Experience using Docker and workflow languages (WDL/Nextflow) to ensure reproducible results. • Analytically Minded: You enjoy the challenge of imputation, polygenic risk scores (PRS), and translating complex data into clear recommendations. Preferred Experience • Direct experience in large animal genomics (equine, bovine, or porcine). • Background in population genetics or agricultural genomics. • Familiarity with building data products in a startup or rapid-growth setting.

A full-time postdoctoral fellow position is available in Professor Wenyi Wang's lab at the Department of Bioinformatics and Computational Biology, the University of Texas MD Anderson Cancer Center. We are seeking a highly self-motivated postdoctoral candidate with experience in cancer research and strong analytical skills in single-cell RNA-seq data. Statistical modeling expertise in machine learning and/or Bayesian models is preferred. This position will involve both methodology development and analysis of multi-omic sequencing data, including spatial transcriptomic data, from cancer patient cohorts and interpretation. The candidate will work closely with our experienced clinician collaborators at MD Anderson, contributing to revealing the underlying mechanism behind the response heterogeneity of cancer and developing novel therapeutic targets. LEARNING OBJECTIVES • Analyze next-generation sequencing (NGS) data, including: • Bulk DNA-seq and RNA-seq • Single-cell RNA-seq • Spatial transcriptomics • Develop computational and statistical methods for multi-omic and single-cell data • Integrate diverse molecular data to study tumor evolution and therapeutic response • Collaborate with MD Anderson clinicians and basic scientists • Investigate mechanisms of tumor heterogeneity and resistance • Mentor graduate and undergraduate students and rotation trainees • Present research at scientific conferences and contribute to peer-reviewed publications ELIGIBILITY REQUIREMENTS Required: • Ph.D. in bioinformatics, computational biology, statistics, computer science, or related field • Proficiency in R or Python • Minimum one year of experience in computational biology or cancer genomics • Experience with high-performance or cloud computing (e.g., HPC, AWS, GCP) • At least one first-author peer-reviewed publication • Strong communication and scientific writing skills Preferred: • Hands-on experience with single-cell and spatial transcriptomic analysis • Familiarity with multi-omic data integration workflows • Cancer biology background or translational research experience • Knowledge of machine learning, Bayesian modeling, or statistical method development Ideal Personal Attributes: • Independent, proactive, and scientifically curious • Detail-oriented and committed to reproducible research • Strong team player with mentoring and collaborative experience • Critical thinker with strong problem-solving abilities ADDITIONAL APPLICATION INFORMATION Dr. Wang's laboratory conducts cutting-edge research to understand the evolution of cancer transcriptomes through DNA-RNA dynamics, aiming to uncover mechanisms of cancer initiation, progression, and therapeutic response. This research is fundamental to advancing our knowledge of cancer and improving patient outcomes. See further information at the lab webpage: https://odin.mdacc.tmc.edu/~wwang7. POSITION INFORMATION MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000. depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements. This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment. It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html

Senior Expert Bioinformatics Novartis is seeking a Senior Bioinformatics Scientist in Data and Statistical Sciences, a subteam within the Scientific Office (SO) in Cell and Gene Therapy (CGT) Technical Research and Development (TRD). The bioinformatics lead will be working in a highly collaborative environment, the successful candidate will build and develop bioinformatics pipelines to support advancing cell and gene therapy drug development. He/she is expected to play an active role in leading and managing bioinformatics initiatives and work in close collaboration with wet lab scientists and internal and external collaborators. Location: East Hanover, NJ, Cambridge, MA or Durham, NC This position will be located at the East Hanover, NJ, Durham NC, or Cambridge, MA site and will not have the ability to be located remotely. Responsibilities: • Work as a lead bioinformatics scientist, both independently and as a member of cross-functional teams, to develop bioinformatics pipelines for cell and gene therapy products to enable deep understanding of the product, including (but not limited to) genome integrity, impurities, integration, and oncogenicity. • Support next generation sequencing (NGS) method development and validation following ICH guidance. • Support ad hoc NGS analysis with scientific judgement for product characteristics • Support validation of developed bioinformatics pipelines to meet GMP testing requirements. • Support responses to questions from the FDA and EMA in support of IND, BLA, and post-authorization commitments for cell and gene therapy products. • Follow Novartis quality guidance to ensure the integrity and traceability of pipeline development and validation • Support bioinformatics pipeline transfer, installation, testing, and maintenance in non-GMP and GMP environments. • Work with IT and engineering teams on data flow and automation of NGS data analysis • Produce high quality written documentation including study protocols, data analysis plans and reports. • Refine algorithms and tools for sequencing data analysis and propose improvements. • Communicating internally with other departments and externally with collaborators about technological capabilities and gap analysis. • Support the wider R&D team with general bioinformatics needs. Essential Requirements: • PhD or equivalent in bioinformatics, computational biology, biostatistics, physics, engineering, mathematics, molecular biology, virology or related discipline. • 3 years of relevant industry work experience is strongly preferred, but related experience in academic settings will be considered. • Strong domain knowledge in genomics, excellent programming skills, and deep experience with next-generation sequencing and analysis. • Strong problem-solving skill, adaptive, curious, and willing and able to learn new technologies and skills, applying this learning to the cell and gene therapy field. • Knowledgeable in applying AI to software and bioinformatics pipeline development is a plus. • Strong oral and written communication skills, ability to work both independently and collaboratively, to manage multiple concurrent, fast-paced projects and to work with multidisciplinary teams. Desired Requirements: • Knowledgeable in applying AI to software and bioinformatics pipeline development is desired • Experience in cell and gene therapy drug development, or related fields dealing with virus-cell interactions, is desired. • Experience in single cell sequencing is desired. The salary for this position is expected to range is $132,300-$245,700 The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. Tagged as: Life Sciences

The University of Texas Southwestern Medical Center (UTSW) invites nominations and applications for the position of Chair of the Lyda Hill Department of Bioinformatics (The Department). Established in 2015, the Department is a hub for cutting-edge research at the intersection of computer science; computational and systems biology; and biomedical science in the basic, translational, and clinical realms. With a strong foundation in interdisciplinary collaboration and a commitment to innovation, the Department plays a vital role in advancing discovery at UTSW and contributing to UTSW’s clinical enterprise. As the next Chair leads the Department into its second decade, they will recruit and develop excellent faculty across all areas of bioinformatics to leverage existing strengths and grow in the fields of genetics and genomics, and artificial intelligence. The successful candidate will be a scientist with a world-class research reputation and a demonstrated commitment to faculty advocacy, mentorship, and collaboration. They will bring sound judgment, fiscal acumen, and visionary leadership to a department poised for its next chapter of growth and impact. With a strong foundation and institutional support, the next Chair will have the opportunity to shape the future of bioinformatics at one of the nation’s leading academic medical centers. The Chair will bring many of the following qualifications, professional experiences, and personal attributes: • An outstanding record of research and scholarly achievements that merit appointment to the rank of full professor in the Department; • Distinguished researcher with a world-class scientific reputation; • Good judgment in hiring and an eye for scientific excellence; • Experience and interest in supporting the full spectrum of bioinformatics research; • A deep understanding of the integration of experimental and computational science; • An appreciation of the importance of collaboration among different basic biomedical research fields, and between basic science and clinical disciplines; • A track record of supporting faculty and staff; • A history of progressively responsible and successful academic leadership in a complex university, research organization, or medical center; • An altruistic leader with a proven commitment to mentoring, motivating, and promoting faculty; • An inclusive and receptive leadership style that values open dialogue and constructive engagement across differing viewpoints; • Experience navigating and advocating for a department within a complex university, research, or medical center environment; • An understanding of budgets and a record of fiscal responsibility; • Visionary and principled leadership; a results-oriented approach, the highest level of integrity, and timely decision-making; • Personal qualities that foster collaboration and resilience, such as humility, persistence, patience, good humor, and flexibility. THE INSTITUTION As one of the premier academic medical centers in the nation, UT Southwestern integrates pioneering research with exceptional health care and education. UT Southwestern is home to more than 3,700 faculty members, many of whom are leaders in their respective fields, including six Nobel laureates, 24 National Academy of Sciences members, 25 National Academy of Medicine members, and 13 Howard Hughes Medical Institute Investigators. Annual research funding at the University exceeds $767 million per year. UT Southwestern is located in the heart of the Southwestern Medical District – a nearly 400-acre medical complex located 10 minutes north of downtown Dallas. UT Southwestern physicians are central to the care of millions of residents in North Texas through the UT Southwestern health system and its affiliated systems, including Parkland Health, Children’s Health, Scottish Rite Hospital for Children, VA North Texas Health Care System, and the joint Southwestern Health Resources accountable care network. In this expansive and rapidly evolving ecosystem, UT Southwestern’s unprecedented growth is driven by significant investments in teaching, clinical, and research missions, creating fertile ground for collaborative innovation and dynamic adaptation. PROCEDURE FOR APPLICATIONS, INQUIRIES, AND NOMINATIONS Screening of complete applications will begin immediately and continue until the completion of the search process. Inquiries, nominations, referrals, and CVs with cover letters should be sent via the Isaacson, Miller website: https://www.imsearch.com/open-searches/university-texas-southwestern-medical-center/chair-department-bioinformatics Greg Esposito, Partner Nick Strand, Managing Associate Melissa DePretto Behan, Senior Associate Isaacson, Miller 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. This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information. Appointment rank will be commensurate with academic accomplishment and experience. Consideration may be given to applicants seeking less than a full-time schedule. To learn more about the benefits UT Southwestern offers, visit https://www.utsouthwestern.edu/employees/hr-resources/ Benefits UT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed to support your overall wellbeing, and include: • PPO medical plan, available day one at no cost for full-time employee-only coverage • 100% coverage for preventive healthcare – no copay • Paid Time Off, available day one • Retirement Programs through the Teacher Retirement System of Texas (TRS) • Paid Parental Leave Benefit • Wellness programs • Tuition Reimbursement • Public Service Loan Forgiveness (PSLF) Qualified Employer • Learn more about these and other UTSW employee benefits!

Labcorp is seeking a remote Bioinformatics Scientist to join our team! Work Schedule Monday – Friday, day shift Job Responsibilities • Perform routine QC and any required downstream analyses following established work instructions for production analyses. • Provide statistical analysis and/or pipeline development for new assays being brought online and validated. • Communicate progress, results, concerns, and/or troubleshooting to lab staff, project managers, and/or clients. • Act efficiently in an environment with dynamic timelines and changing priorities. • Develop a deep understanding of the assays run in the Specialty Genomics group. • Contribute to study reports, SOP creation/updates, and software lifecycle (SLC) documentation activities as needed. • Establish and foster excellent working relationships with bioinformatics team members. • Participate in client-facing meetings as needed to describe analysis activities and/or results, respond to client questions, etc. • Perform other duties as assigned. Minimum Qualifications • Master’s degree in Bioinformatics or Biology or 2 or more years professional experience in Bioinformatics • 2 or more years’ Bioinformatics experience working on NGS assays, including but not limited to RNA-Seq (bulk and single cell) and DNA (WGS, WES, targeted panels, cfDNA). • 2 or more years’ experience of scientific programming using Python and/or R. • 2 or more years’ experience in designing, coding, and validating analysis pipelines. • 2 or more years’ experience in statistical analysis methodologies. • 2 or more years’ experience in a *nix-based, command line environment, Bash, or other scripting skills. Preferred Qualifications • 2 or more years’ experience with WDL workflows in a cloud-based environment. • 2 or more years’ experience in CRO. • 2 or more years’ experience understanding requirements for working under various regulatory requirements. Additional Job Standards • Able to function in a fast-paced, high throughput environment. • Demonstrated organizational and communication skills. • Strong interpersonal and teamwork skills are essential. • Ability to prioritize workload to effectively handle several projects at any given time. • Quickly and competently train on and perform new and updated analysis methods. • Understand and perform specific tasks that need to be completed daily. • Identify and offer suggestions for process improvements. • Ability to complete written reports as part of client deliverables. • Attention to detail and ability to work under pressure to generate high quality data analysis. About Labcorp At Labcorp, we are a global leader of innovative and comprehensive laboratory services that help doctors, hospitals, pharmaceutical companies, researchers, and patients make clear and confident decisions. Through our unparalleled diagnostics and drug development laboratory capabilities, our 70,000 employees combine innovative innovation, science and technology to solve some of today’s biggest health challenges, accelerate life-changing healthcare breakthroughs and impact lives around the world. Here, you are empowered to own your career journey and create a personalized development plan with the support of your team. Application Window: April 1, 2026 – April 8, 2026 Pay Range: $85,000 - $100,000 All job offers will be based on a candidate’s skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data. Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees are only eligible to participate in the 401(k) Plan. For more detailed information, please click here. Labcorp is proud to be an Equal Opportunity Employer: Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law. We encourage all to apply If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.