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Bioinformatics Jobs in Dallas, TX (NOW HIRING)

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How much do bioinformatics jobs pay per year?

As of Sep 5, 2026, the average yearly pay for bioinformatics in Dallas, TX is $93,457.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,800.00 and $128,100.00 per year, depending on experience, location, and employer.

What is bioinformatics?

A Bioinformatics job involves using computational tools and techniques to analyze biological data, such as genomic sequences, protein structures, and clinical information. Professionals in this field work at the intersection of biology, computer science, and statistics to develop algorithms, databases, and software for processing large-scale biological data. Bioinformaticians are employed in academia, pharmaceutical companies, healthcare, and biotechnology sectors to assist with research, drug discovery, and personalized medicine. Key skills include programming, data analysis, and a strong understanding of molecular biology.

What are the typical day-to-day responsibilities of a bioinformatics professional?

A typical day in bioinformatics often involves analyzing large biological datasets, such as genomic or proteomic sequences, using specialized software and programming languages. You might spend time developing or modifying algorithms, visualizing complex data, and applying statistical methods to interpret research findings. Collaborating closely with biologists, data scientists, and clinicians is common to ensure that computational results are aligned with biological questions. Bioinformatics professionals are also expected to document their work, present findings, and stay updated with new tools and advances in the field, making for a dynamic and engaging work environment.

What are the key skills and qualifications needed to thrive in bioinformatics?

To thrive in bioinformatics, you need expertise in biological sciences, strong programming skills (such as Python, R, or Perl), and a solid understanding of statistics, typically supported by a degree in bioinformatics, computational biology, or a related field. Familiarity with bioinformatics databases, software tools (like BLAST, Bioconductor, or Galaxy), and experience with next-generation sequencing data analysis are highly valued. Analytical thinking, problem-solving abilities, and effective communication are essential soft skills for collaborating in interdisciplinary research environments. These skills are crucial for accurately interpreting complex biological data, developing useful computational solutions, and successfully contributing to scientific advancements.

Do bioinformaticians make a lot of money?

Bioinformaticians typically earn competitive salaries that vary based on experience, education, and location. Entry-level positions often start around $60,000 to $80,000 annually, with experienced professionals earning over $100,000, especially in biotech or pharmaceutical industries. Skills in programming, data analysis, and familiarity with tools like Python or R can enhance earning potential.

How hard is it to get a job in bioinformatics?

Securing a job in bioinformatics can be competitive, often requiring a strong background in biology, computer science, or related fields, along with skills in programming, data analysis, and familiarity with tools like Python, R, or Linux. Relevant education such as a master's or Ph.D. and experience with large datasets or sequencing technologies can improve job prospects, but entry-level positions are available for those with relevant skills and training.

What do people who work in bioinformatics do?

Bioinformatics professionals analyze biological data, such as genetic sequences and molecular structures, using computational tools and algorithms. They develop software, interpret large datasets, and collaborate with biologists and healthcare researchers to advance understanding of biological processes and improve medical research.

What jobs can I do with bioinformatics?

Bioinformatics professionals can work as bioinformatics analysts, computational biologists, research scientists, or data scientists in healthcare, pharmaceuticals, biotechnology, and academic research. These roles often require skills in programming, data analysis, and familiarity with biological databases and tools like R, Python, and SQL.

What are the most commonly searched types of Bioinformatics jobs in Dallas, TX?

The most popular types of Bioinformatics jobs in Dallas, TX are:

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

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

What job categories do people searching Bioinformatics jobs in Dallas, TX look for?

The top searched job categories for Bioinformatics jobs in Dallas, TX are:

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

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

Bioinformatics jobs near you
Infographic showing various Bioinformatics job openings in Dallas, TX as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $93,457 per year, or $44.9 per hour.

POSTDOCTORAL RESEARCHER - Health Data Sci Biostats - Xu Lab [Req#: 948719, Position#: 131957]

UT Southwestern Medical Center

Dallas, TX • On-site

Full-time

Re-posted 4 days ago

UT Southwestern rating

7.9

Company rating: 7.9 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

110th of 898 rated healthcare providers

Job description

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 excellent opportunity 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
Qualifications
Candidates must hold a recent Ph.D. degree. Experience inbioinformatics 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.
Application Instructions
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

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