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Bioinformatics Postdoctoral Jobs in Dallas, TX (NOW HIRING)

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Bioinformatics Postdoctoral information

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$24.7K

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How much do bioinformatics postdoctoral jobs pay per year?

As of Aug 23, 2026, the average yearly pay for bioinformatics postdoctoral in Dallas, TX is $58,386.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $65,800.00 per year, depending on experience, location, and employer.

What is a bioinformatics postdoctoral?

A Bioinformatics Postdoctoral job is a research-focused position for individuals who have recently earned a Ph.D. in bioinformatics, computational biology, or a related field. Postdocs work on advanced computational and statistical methods to analyze biological data, often collaborating with interdisciplinary teams. Responsibilities may include developing algorithms, analyzing genomic or transcriptomic data, and contributing to scientific publications. These positions are typically temporary, lasting two to five years, and serve as a bridge to independent research roles or industry positions.

What types of research projects do bioinformatics postdoctoral researchers typically work on?

Bioinformatics Postdoctoral researchers often engage in projects involving large-scale genomics, transcriptomics, or proteomics data analysis, such as identifying disease-associated genetic variants or understanding gene expression patterns. Their daily responsibilities may include developing new algorithms, running computational analyses, and interpreting complex biological datasets in collaboration with experimental scientists. Team structures can vary, but most positions involve close interaction with both computational and laboratory researchers, providing an interdisciplinary work environment. Participation in publishing research findings and presenting at conferences is also common, offering valuable experience and professional growth.

What are the key skills and qualifications needed to thrive in the bioinformatics postdoctoral position, and why are they important?

To excel as a Bioinformatics Postdoctoral, you should possess a Ph.D. in bioinformatics, computational biology, or a related field, along with strong analytical and programming skills. Experience with software tools like R, Python, Linux/UNIX, high-throughput sequencing platforms, and bioinformatics databases is typically expected. Outstanding problem-solving abilities, communication skills, and collaborative spirit help distinguish top candidates. These competencies are crucial for effectively designing experiments, analyzing complex biological data, and contributing to multidisciplinary research teams.

What are popular job titles related to Bioinformatics Postdoctoral jobs in Dallas, TX?

For Bioinformatics Postdoctoral jobs in Dallas, TX, the most frequently searched job titles are:

What cities near Dallas, TX are hiring for Bioinformatics Postdoctoral jobs?

Cities near Dallas, TX with the most Bioinformatics Postdoctoral job openings:

Infographic showing various Bioinformatics Postdoctoral job openings in Dallas, TX as of August 2026, with employment types broken down into 82% Full Time, 17% Part Time, and 1% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $58,386 per year, or $28.1 per hour.

POSTDOCTORAL RESEARCHER - Health Data Sci Biostats - Xu Lab

University Of Texas Southwestern Medical Cent (The

Dallas, TX

Full-time

Medical, Retirement, PTO

Re-posted 17 days ago


UT Southwestern rating

7.9

Company rating: 7.9 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

107th of 891 rated healthcare providers


Job description

POSTDOCTORAL RESEARCHER

A postdoctoral training position is available in the laboratory of Dr. Lin Xu https://qbrc.swmed.edu/labs/xulab/about.php in the Peter O'Donnell Jr. School of Medicine, Health Data Science and Biostatistics Department at UT Southwestern Medical Center.

Dr. Lin Xu has developed multiple deep learning models and statistical algorithms to identify novel disease genes and therapeutic targets [e.g., Huang et al. Nature (2020), Lu et al. Nature Machine Intelligence (2022), Chai et al. Nature Medicine (2022), Takahiko et al. Science Translational Medicine (2022) (Cover Story), Shi et al. Cancer Cell (2022), Lebek et al. Science (2023), Xu et al. Nature Communications (2023), Zhu et al. Cancer Cell (2023), Zhang et al. Journal of Clinical Investigation (2023), He et al. Nature Communications (2023), Yu et al. Nature Communications (2023), Santos et al. Nature Communications (2023), Li et al. Nature Communications (2023), Wei et al. Cell (2023), Hernandez et al. PNAS (2024), Hu L et al. Mol Cell (2024), Eglenen-Polat et al. Nature Communications (2024), Lin CC et al. Nature Communications (2024), Xu L. et al. Nature Communications (2024), Venkateswaran N. et al. Nature Communications (2024), Chen S. et al. Nature Communications (2025), Liao C, Nature Communications (2025), Yang X. et al. Nature Immunology (2025), Lu ZY. et al. Nature Communications (2025), Zhou Y. et al. Nature Communications (2025), Adachi Y et al. J Clin Invest. (2025), Napolitano F, et al. J Clin Invest. (2025), Bann et al. Circulation (2025), Ding et al. Circulation (2025), Caravia XM, et al. Proc. Natl. Acad. Sci. (2025), Guan P, et al. Proc. Natl. Acad. Sci. (2025), Engreitz JM, et al. Nature (2025), Li H et al., Science (2026)]. Since 2022, his lab's research has been published in a series of high-impact journals, including Nature, Science, Cell, Nature Medicine, Cancer Cell, eLife, PNAS, Nature Machine Intelligence, Nature Immunology, Nature Metabolism, Nature Communications, Science Translational Medicine, Science Advances, Molecular Cell, Genes & Development, Cell Reports, Journal of Clinical Investigation, Circulation, Circulation Research, and Developmental Cell.

Building on these publications in bioinformatics and AI fields, the Xu Lab has received support from multiple funding sources, including the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), National Cancer Institute (NCI), National Heart, Lung, and Blood Institute (NHLBI), National Human Genome Research Institute (NHGRI), National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), Cancer Prevention and Research Institute of Texas (CPRIT), U.S. Department of Defense (DoD), Hyundai Foundation, Children's Cancer Fund, Sam Day Foundation, Rally Foundation, and Andrew McDonough B+ Foundation. Therefore, these new openings will be supported on a multi-year basis.

Successful candidates will analyze genomic, epigenomic, and transcriptomic data from patient cohorts and develop and maintain computational pipelines. This position offers an excellentopportunity to rapidly build highly sought-after bioinformatics skills, collaborate closely with wet-lab scientists to experimentally validate computational predictions, and publish high-impact manuscripts in bioinformatics and AI that support career advancement in industry or academia.

#LI

Candidates must hold a recent Ph.D. degree. Experience in bioinformatics and computational biology leading to publication in peer-reviewed journals is recommended.

Ability to lead first-author manuscripts using large-scale single-cell or spatial omics data from patients already available in the Xu lab.

Experience with NGS data analysis and development of customized sequencing-analysis pipelines is strongly preferred.

Experience with Linux environments and command-line tools is required.

Doctoral degree in bioinformatics, genetics/genomics, statistics, biostatistics, computer science, systems biology, or a related field.

Excellent spoken and written English communication skills.

Information on our postdoctoral training program, benefits, and a virtual tour can be found at http://www.utsouthwestern.edu/postdocs.

Interested individuals should send a CV, statement of interests, and a list of three references to:

Lin Xu, Ph.D.

Lin.xu@utsouthwestern.edu

https://qbrc.swmed.edu/labs/xulab/about.php

UTSouthwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. Asan equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis ofrace, 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, visithttps://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!

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