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Seasonal Computer Science Bioinformatics Jobs in Dallas, TX

4431

Data Scientist II

Dallas, TX · On-site

S. in Computer Science, Bioinformatics, (Bio)mathematics, (Bio)statistics, Physics, Electrical Engineering, or related field or Bachelor's Degree B.S. with demonstrated experience in broadly defined ...

Vytwo

Bioinformatics Pipeline Test Engineer

Prosper, TX · On-site

Degree in Computational Biology, Computer Science, or field as outlined in the essential duties. * Familiarity with the development of bioinformatics pipelines within Next Generation Sequencing and ...

Cook Children's

Bioinformatician

Fort Worth, TX · On-site

Master's degree in Bioinformatics, Computational Biology, Genetics, Data Science, Computer Science, or related field About Us: Cook Children's Health Care System Cook Children's Health Care System ...

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How much do seasonal computer science bioinformatics jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for seasonal computer science bioinformatics in Dallas, TX is $45.33, according to ZipRecruiter salary data. Most workers in this role earn between $35.67 and $48.51 per hour, depending on experience, location, and employer.

What types of projects can a seasonal computer science bioinformatics employee expect to work on?

As a Seasonal Computer Science Bioinformatics employee, you may be involved in projects such as developing data analysis pipelines, assisting with genomic data processing, and creating visualization tools to interpret biological datasets. These tasks are often collaborative, requiring you to work closely with biologists, data scientists, and other software engineers to ensure that computational solutions meet research objectives. Contributing to these projects helps the team accelerate biological discovery and improve the understanding of complex data, making your work both impactful and intellectually rewarding.

What is the difference between Seasonal Computer Science Bioinformatics vs Data Analyst?

AspectSeasonal Computer Science BioinformaticsData Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, healthcare, biotech companies, academic institutionsBusiness, finance, healthcare, tech companies
Industry UsagePrimarily in healthcare, biotech, research projectsAcross various industries including finance, marketing, healthcare
Search & Comparison IntentUnderstanding roles in bioinformatics, seasonal opportunities, required skillsComparing data analysis roles, seasonal work, skill requirements

Seasonal Computer Science Bioinformatics roles focus on analyzing biological data, often in healthcare or research settings, requiring bioinformatics-specific skills. Data Analysts work across industries analyzing data to inform business decisions. While both roles involve data handling, their industry focus and skill sets differ, especially in seasonal contexts.

What is a seasonal computer science bioinformatics?

A Seasonal Computer Science Bioinformatics job is a temporary position, often aligned with academic breaks or project timelines, where individuals apply computer science principles to solve biological data challenges. These roles typically involve tasks such as analyzing genomic data, developing bioinformatics tools, or supporting research teams during peak periods. Seasonal positions are common in research labs, biotech companies, and academic institutions, providing hands-on experience in the intersection of biology, computer science, and data analysis. It's an excellent opportunity for students or early-career professionals to gain relevant skills and contribute to scientific discoveries.

What are the key skills and qualifications needed to thrive as a seasonal computer science bioinformatics professional?

To thrive as a Seasonal Computer Science Bioinformatics professional, you need foundational knowledge in computer science, biology, and statistics, often supported by coursework or a degree in bioinformatics or a related field. Experience with bioinformatics tools (such as BLAST, Bioconductor, or Galaxy), programming languages (like Python, R, or Perl), and familiarity with databases are typically required. Strong analytical thinking, attention to detail, and effective communication help you interpret complex data and collaborate with interdisciplinary teams. These skills are crucial for efficiently analyzing biological datasets and contributing valuable insights during short-term research projects.
What cities near Dallas, TX are hiring for Seasonal Computer Science Bioinformatics jobs? Cities near Dallas, TX with the most Seasonal Computer Science Bioinformatics job openings:
Seasonal Computer Science Bioinformatics jobs near you

POSTDOCTORAL RESEARCHER-Biomedical Data Science & AI-Epidemiology-Ruan Lab [Req#: 963199, Position#:

UT Southwestern Medical Center

Dallas, TX • On-site

Full-time

Posted 8 days ago

UT Southwestern rating

7.9

Company rating: 7.9 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

108th of 887 rated healthcare providers

Job description

Description
POSTDOCTORAL RESEARCHER
A postdoctoral fellow position is now available in the laboratories of Dr. Peifeng Ruan (https://qbrc.swmed.edu/labs/ruanlab/) at the Quantitative Biomedical Research Center (QBRC) in the Peter O'Donnell Jr. School of Public Health at UT Southwestern Medical Center, Dallas. The labs' research focuses on developing and applying advanced computational and AI methods to address critical challenges in biomedical research and clinical practice.
The training activities of this position will include data management, curation, and analysis of large-scale biomedical and clinical datasets, including proteomics, metabolomics, single-cell transcriptomics and spatial transcriptomics data; development and/or implementation of novel statistics, machine learning and AI approaches; integration of molecular, cellular, spatial, imaging, and clinical data; interpretation and presentation of analysis results; and writing manuscripts. We are actively seeking exceptionally motivated individuals with outstanding problem-solving abilities. In this role, you will conduct cutting-edge research at the intersection of artificial intelligence and biomedical sciences, with opportunities to collaborate with clinical investigators and industry partners.
Information on our postdoctoral training program, benefits, and a virtual tour can be found at https://www.utsouthwestern.edu/research/postdoctoral-scholars/.
Qualifications
Candidates with a Ph.D. in computer science, bioinformatics, data science, machine learning, or a related quantitative field are encouraged to apply. Experience with one or more of the following areas is desirable: single-cell transcriptomics and spatial transcriptomics, knowledge graphs, large language models, or analysis of real-world clinical data (e.g., electronic health records, claims databases, or pharmacovigilance databases).
Application Instructions
Interested individuals should send a CV and a list of three references to:
Peifeng Ruan
Peifeng.Ruan@UTSouthwestern.edu

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