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Masters In Computational Biology Jobs in Utah (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

West Jordan, UT · 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 ...

GATC Health

Bioinformatics Analyst - UT

Salt Lake City, UT · On-site

$80K - $90K/yr

Degree in computational biology, bioinformatics, computer science or similar. * Experience analyzing complex multi-omic datasets, including human or single cell data. * Experience implementing, and ...

Utah State University

Postdoctoral Fellow I

Logan, UT · On-site

$42K - $57K/yr

Ph.D. degree in Computational Biology, Genomics, Bioinformatics, Computer Science or highly related field. * Experience in developing Machine Learning-based models and large-scale data analysis ...

Utah State University

Postdoctoral Fellow I

Logan, UT · On-site

$42K - $57K/yr

Ph.D. degree in Computational Biology, Genomics, Bioinformatics, Computer Science or highly related field. * Experience in developing Machine Learning-based models and large-scale data analysis ...

University of Utah

Post Doc Res Assoc

Salt Lake City, UT · On-site

$65K - $73K/yr

  • Retirement

PhD or MDPhD in a relevant field (e.g., Biochemistry, Molecular Biology, Genetics, Systems Biology, Bioengineering, Computational Biology, Biomedical Data Science). * Strong publication record for ...

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Masters In Computational Biology information

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 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 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 Utah?

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

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

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

What cities in Utah are hiring for Masters In Computational Biology jobs?

Cities in Utah 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 Utah as of August 2026, with employment types broken down into 1% Internship, 2% As Needed, 81% Full Time, 13% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Bioinformatics Software Engineer

micro1 AI

Saint George, UT • Remote

$80 - $110/hr

Part-time

Posted 11 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: 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 to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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