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Masters In Computational Biology Jobs in Texas (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

Brownsville, TX · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer's computational drug discovery project. In this role, you'll apply your expertise ...

micro1 AI

Cheminformatics Specialist - Remote

Tyler, TX · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer's computational drug discovery project. In this role, you'll apply your expertise ...

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Masters In Computational Biology information

What is a masters in computational biology?

A Masters in Computational Biology is a graduate degree program that focuses on the use of computational and mathematical techniques to analyze and interpret biological data. Students in this program learn to apply computer science, statistics, and biology to solve complex problems in genomics, drug discovery, and systems biology. Graduates are prepared for careers in research, biotechnology, pharmaceuticals, and academia, or for further study in doctoral programs.

What are the key skills and qualifications needed to thrive with a master's in computational biology?

To thrive with a Master's in Computational Biology, you need a strong background in biology, statistics, and computer science, typically supported by an advanced degree in the field. Familiarity with programming languages like Python or R, experience with bioinformatics tools, and knowledge of statistical analysis systems are essential. Critical thinking, problem-solving, and effective communication are key soft skills that help in interdisciplinary collaboration. These skills are crucial for analyzing complex biological data, developing innovative solutions, and advancing research in biotechnology and healthcare.

What career advancement opportunities are available to professionals with a master's in computational biology?

With a Master's in Computational Biology, professionals can pursue a range of advancement opportunities in both academia and industry. Many start in roles such as research associate, data analyst, or bioinformatics scientist, and can progress to lead research projects, manage interdisciplinary teams, or transition into specialized roles in pharmaceuticals, biotechnology, or healthcare. Further career growth is possible through continued education, such as pursuing a PhD, or by gaining experience in project management, software development, or scientific leadership. Networking and staying current with technological advancements are key to maximizing career prospects in this dynamic field.

What is the difference between Masters In Computational Biology vs Bioinformatics Specialist?

AspectMasters In Computational BiologyBioinformatics Specialist
Required CredentialsMaster's degree in computational biology, bioinformatics, or related fieldBachelor's or master's in bioinformatics, computer science, or biology
Work EnvironmentResearch labs, academia, biotech companiesHealthcare, biotech, research institutions
Industry UsageAcademic research, biotech R&D, pharmaceutical companiesData analysis, software development, genome analysis

Masters In Computational Biology focuses on integrating biology and computational methods for research and development, while Bioinformatics Specialists often apply these skills in data analysis and software development within healthcare and biotech industries. Both roles require strong computational skills, but the Masters program emphasizes research and theoretical knowledge, whereas the specialist role is more application-oriented.

What are popular job titles related to Masters In Computational Biology jobs in Texas?

For Masters In Computational Biology jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Masters In Computational Biology jobs in Texas look for?

The top searched job categories for Masters In Computational Biology jobs in Texas are:

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Cities in Texas with the most Masters In Computational Biology job openings:

Masters In Computational Biology jobs near you
Infographic showing various Masters In Computational Biology job openings in Texas as of August 2026, with employment types broken down into 1% Internship, 2% As Needed, 85% Full Time, 10% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Postdoctoral Associate - Computational biology and Bioinformatics

Baylor College of Medicine

Houston, TX • On-site

$63K/yr

Full-time

Posted 18 days ago

Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

189th of 622 rated colleges and universities

Job description

Postdoctoral Associate - Computational biology and Bioinformatics
Division: Medicine
Work Arrangement: Onsite only
Location: Houston, TX
Salary Range: $63,480
FLSA Status: Exempt
Work Schedule: Monday - Friday, 8 a.m. - 5 p.m.
Summary
The Cheng Lab in the Department of Medicine, Section of Epidemiology & Population Sciences is searching for highly motivated and talented post-doc candidates to work on Bioinformatics and Computational Biology in Cancer Genomics and Immunology. This position will be involved in the development and/or application of computational approaches to understand the mechanism of cancer development, progression, metastasis, and prognosis. The Postdoctoral Associate should have experience in processing and analyzing data from the next-generation sequencing and single-cell technologies (e.g., scRNA-seq, scATAC-seq, scTR-seq, and/or spatial transcriptomics). Previous experience in both Bioinformatics/Genomics and Cancer Biology is desirable. The Postdoctoral Associate is expected to collaborate closely with experimental biologists and clinicians. The position offers an extraordinary team-based science environment with opportunities for significant education, training, and career development. Baylor College of Medicine is located at the Texas Medical Center, which is the largest medical complex in the world and provides an ideal environment for scientific and clinical research.
A Postdoctoral Associate is expected to collaborate closely with experimental biologists and clinicians. The position offers an extraordinary team-based science environment with opportunities for significant education, training, and career development.
This position offers a highly collaborative, team-based setting with opportunities for advanced training, mentorship, and career development.
Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.
Job Duties
  • Develops and/or applies computational approaches to understand the mechanism of cancer development, progression, metastasis, and prognosis.
  • Collaborates closely with experimental biologists and clinicians to design studies., validate computational findings, and support translational applications of research discoveries.
  • Participates in regular joint meetings to present findings, discuss ongoing projects, and align research strategies with lab and departmental priorities.
  • Assists in mentoring and training of junior researchers in computational techniques and bioinformatics best practices.
  • Translates complex computational results into biologically meaningful insights in collaboration with wet-lab teams.
  • Maintains thorough documentation of analyses, pipelines, and datasets in version-controlled environments.
  • Collaborates with experimental biologists and clinicians in the Cheng lab to apply computational and bioinformatics approaches to study cancer development, progression, metastasis, and prognosis.
  • Designs, analyses, interprets complex datasets, and translates findings into biologically meaningful insights within a multidisciplinary research environment.
  • Performs other job-related duties as assigned.

Minimum Qualifications
  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.

Preferred Qualifications
  • PhD in Computational Biology, Bioinformatics, or a related field (e.g. statistics, computer science, or quantitative biology).
  • Experience in the application and development of computational methods/tools or machine learning algorithms.
  • Good computer programming skills in R/Matlab/PerlPython.
  • Knowledge of basic molecular biology, genomics, and epigenetics.
  • Experience in next-generation sequencing data and scRNA-seq data.

Requisition ID: 25952

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