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Computational Biology Jobs (NOW HIRING)

micro1 AI

Computational Biologist - AI Reviewer

Reno, NV · 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.

micro1 AI

Computational Biologist - AI Reviewer

Arvada, CO · 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.

micro1 AI

Computational Biologist - AI Reviewer

Provo, UT · 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.

micro1 AI

Computational Biologist - AI Reviewer

Conroe, TX · 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.

micro1 AI

Computational Biologist - AI Reviewer

Athens, GA · 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.

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How much do computational biology jobs pay per year?

As of Aug 14, 2026, the average yearly pay for computational biology in the United States is $93,988.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,500.00 and $117,000.00 per year, depending on experience, location, and employer.

What can you do with a computational biology degree?

A computational biology degree prepares individuals for roles such as bioinformatics analyst, research scientist, or data scientist in healthcare, biotech, and pharmaceutical industries. Graduates use skills in programming, statistical analysis, and biological data interpretation to develop models, analyze genomic data, and support drug discovery. Proficiency in tools like Python, R, and machine learning is often essential.

How do computational biologists typically collaborate with experimental scientists in research projects?

Computational biologists frequently work alongside experimental biologists to interpret data, design experiments, and develop new hypotheses. Collaboration often involves regular meetings to align on research goals, data sharing, and troubleshooting analytical challenges together. Being able to communicate complex computational findings in accessible terms is crucial for ensuring that experimental teams can act on the insights provided. This interdisciplinary teamwork not only enhances research outcomes but also broadens professional skill sets, making the role both dynamic and rewarding.

What is the difference between Computational Biology vs Bioinformatics?

AspectComputational BiologyBioinformatics
Required CredentialsTypically requires a PhD in biology, bioinformatics, or related fieldsOften requires a bachelor's or master's degree in computer science, biology, or bioinformatics
Work EnvironmentResearch labs, academia, biotech companiesResearch labs, healthcare, biotech, and pharmaceutical industries
Industry UsageUsed for modeling biological systems and understanding complex biological dataPrimarily focused on developing algorithms and tools to analyze biological data

Computational Biology and Bioinformatics are closely related fields that often overlap. Computational Biology emphasizes modeling and understanding biological systems through computational methods, often requiring advanced degrees. Bioinformatics focuses on developing tools and algorithms to analyze biological data, typically with a background in computer science or biology. Both roles are vital in research and industry, but they differ in their primary focus and educational requirements.

What is computational biology?

Computational biology is an interdisciplinary field that uses data analysis, mathematical modeling, and computer simulations to understand biological systems and relationships. Researchers in this area develop algorithms and software to analyze large sets of biological data, such as DNA sequences or protein structures. Computational biology plays a crucial role in genomics, drug discovery, systems biology, and personalized medicine, helping scientists make sense of complex biological information.

What are the key skills and qualifications needed to thrive as a computational biologist, and why are they important?

To thrive as a Computational Biologist, you need a strong background in biology, statistics, and computer science, often supported by a relevant degree such as bioinformatics, computational biology, or a related discipline. Familiarity with programming languages like Python or R, experience using bioinformatics tools (e.g., BLAST, Bioconductor), and knowledge of data analysis pipelines are typically required. Strong problem-solving, collaboration, and communication skills help computational biologists interpret complex datasets and work effectively with interdisciplinary teams. These competencies are crucial for extracting meaningful biological insights from large datasets and advancing research in genomics, drug discovery, and personalized medicine.
More about Computational Biology jobs

What cities are hiring for Computational Biology jobs?

Cities with the most Computational Biology job openings:

What are the most commonly searched types of Computational Biology jobs?

The most popular types of Computational Biology jobs are:

What states have the most Computational Biology jobs?

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What job categories do people searching Computational Biology jobs look for?

The top searched job categories for Computational Biology jobs are:

Computational Biology jobs near you
Infographic showing various Computational Biology job openings in the United States as of August 2026, with employment types broken down into 63% Full Time, 32% Part Time, 1% Temporary, and 4% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $93,988 per year, or $45.2 per hour.

Computational Biologist - AI Reviewer

micro1 AI

Reno, NV • On-site, Remote

$90 - $120/hr

Part-time

Posted 17 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 — 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.

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