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Remote Computational Biologist Jobs in Utah (NOW HIRING)

Computational Biologist - AI Reviewer

Provo, UT ยท On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. In this role, you'll apply your expertise to help train next ...

Cheminformatics Specialist - Remote

Provo, UT ยท On-site +1

$90 - $120/hr

Computational Biology Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project.

Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their ... Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry ...

Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their ... Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry ...

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Remote Computational Biologist information

See Utah salary details

$44.2K

$85.6K

$121.5K

How much do remote computational biologist jobs pay per year?

As of Aug 3, 2026, the average yearly pay for remote computational biologist in Utah is $85,564.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,200.00 and $106,500.00 per year, depending on experience, location, and employer.

What does a typical day look like for a Remote Computational Biologist?

A typical day for a Remote Computational Biologist involves analyzing large-scale biological datasets, writing and debugging code, and interpreting results to support scientific projects or research goals. You'll often collaborate with wet lab scientists, bioinformatics specialists, and project managers through virtual meetings, sharing insights and integrating diverse types of data. Tasks can also include developing or optimizing analysis pipelines and preparing reports or visualizations for team discussions or publications. Flexibility in managing your workflow and strong digital communication skills are important, as you will coordinate with team members across different time zones and locations. This variety of activities ensures continual learning and exposure to cutting-edge research in the life sciences.

What are the key skills and qualifications needed to thrive in the Remote Computational Biologist position, and why are they important?

To thrive as a Remote Computational Biologist, you need a solid background in biology, statistics, and computer science, often supported by a relevant degree (such as bioinformatics or computational biology) and experience with biological data analysis. Proficiency with programming languages like Python or R, familiarity with bioinformatics tools and databases, and knowledge of cloud computing platforms are typically required; advanced degrees or certifications can be advantageous. Strong problem-solving skills, effective written and verbal communication, and the ability to collaborate virtually are valuable soft skills in this remote role. These strengths are critical for accurately interpreting complex data sets, working productively in distributed research teams, and driving impactful scientific discoveries.

What is a Remote Computational Biologist job?

A Remote Computational Biologist analyzes biological data using computational techniques, such as machine learning, bioinformatics, and statistical modeling, while working from a remote location. They often collaborate with researchers, biologists, and data scientists to study genomics, drug discovery, disease modeling, or evolutionary biology. Typical responsibilities include writing algorithms, processing large datasets, and interpreting biological patterns. This role requires expertise in programming languages like Python or R and knowledge of bioinformatics tools. Remote work allows flexibility in contributing to research projects for academic institutions, biotech companies, or pharmaceutical firms.

What are the most commonly searched types of Computational Biologist jobs in Utah? The most popular types of Computational Biologist jobs in Utah are:
What are popular job titles related to Remote Computational Biologist jobs in Utah? For Remote Computational Biologist jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Remote Computational Biologist jobs? Cities in Utah with the most Remote Computational Biologist job openings:

Computational Biologist - AI Reviewer

micro1 AI

Saint George, UT โ€ข On-site, Remote

$90 - $120/hr

Part-time

Posted 6 days ago


Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer 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 โ€” your domain knowledge is what matters.


Scope of Work

  1. Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.