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Bioinformatics Computational Biology Jobs (NOW HIRING)

micro1 AI

Computational Biologist - AI Reviewer

Waco, TX · On-site +1

$90 - $120/hr

Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field. * Demonstrated expertise in medicinal chemistry, including experience ...

Baylor Genetics

AD Scientific Innovation

Houston, TX · On-site

D. in Bioinformatics, Computational Biology, Genetics, Computer Science, Biomedical Engineering, or related field. • 8 years of experience in bioinformatics, computational biology, or genomics. • ...

micro1 AI

Computational Biologist - AI Reviewer

Wichita, KS · On-site +1

$90 - $120/hr

Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field. * Demonstrated expertise in medicinal chemistry, including experience ...

micro1 AI

Computational Biologist - AI Reviewer

Elgin, IL · On-site +1

$90 - $120/hr

Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field. * Demonstrated expertise in medicinal chemistry, including experience ...

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All JobsBioinformatics Computational Biology Jobs

Bioinformatics Computational Biology information

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$49K

$203.5K

$400K

How much do bioinformatics computational biology jobs pay per year?

As of Aug 11, 2026, the average yearly pay for bioinformatics computational biology in the United States is $203,468.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $400,000.00 per year, depending on experience, location, and employer.

What is the difference between Bioinformatics Computational Biology vs Bioinformatics Analyst?

AspectBioinformatics Computational BiologyBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computational Biology, or related fieldsBachelor's or Master's in Bioinformatics, Biology, or related fields
Work EnvironmentResearch labs, academia, biotech companies, computational research settingsHealthcare, research institutions, biotech firms, data analysis roles
Employer & Industry UsageResearch-focused roles in academia, biotech, pharmaData analysis and interpretation in healthcare and biotech sectors

Bioinformatics Computational Biology involves developing and applying computational models to understand biological systems, often focusing on algorithm development and data simulation. In contrast, Bioinformatics Analysts primarily interpret biological data, perform data analysis, and generate reports. Both roles require strong computational skills and biological knowledge but differ in their focus on research versus data interpretation.

How do bioinformatics computational biologists typically collaborate with wet lab researchers in a research setting?

In a research environment, bioinformatics computational biologists work closely with wet lab scientists to design experiments, interpret large-scale biological data, and validate computational findings. Collaboration often involves regular meetings to discuss project goals, data quality, and analysis strategies, ensuring that computational approaches align with biological questions. This partnership is crucial for integrating experimental and computational workflows, which helps accelerate discoveries and improves the accuracy of results. Effective communication and a willingness to learn from each other are key to successful interdisciplinary teamwork.

What are the key skills and qualifications needed to thrive as a bioinformatics computational biologist?

To thrive as a Bioinformatics Computational Biologist, you need a strong background in molecular biology, statistics, and computer science, often supported by an advanced degree in bioinformatics or a related field. Expertise in programming languages (such as Python, R, or Perl), experience with high-throughput sequencing data, and familiarity with bioinformatics tools and databases are essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex data and collaborate with research teams. These skills are crucial for extracting meaningful biological insights from large datasets and advancing scientific discovery.

What are bioinformatics computational biology jobs?

Bioinformatics and computational biology jobs involve the application of computational biology and other methods to analyze biological data. As a biologist in bioinformatics and computational biology, you create datasets to test and validate each stage of new product development. Industries that utilize bioinformatics professionals include agriculture, health sciences, academics, and genetics. In this role, your responsibilities include overseeing technology development, analyzing statistics on new products, running research experiments, and documenting test results. Scientists and assistants who work in labs prepare experiments, collaborate with groups of other scientists and laboratory assistants, and use computer programs and spreadsheets to track and document results.

What are bioinformatics and computational biology?

Bioinformatics and computational biology are interdisciplinary fields that use computer science, mathematics, and statistics to analyze and interpret biological data. Bioinformatics focuses primarily on developing methods and software tools for understanding biological data, especially large datasets such as genomic sequences. Computational biology involves creating mathematical models and computational simulations to study the behavior of biological systems. Both fields play a crucial role in advancing research in genomics, drug discovery, and personalized medicine.
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What cities are hiring for Bioinformatics Computational Biology jobs? Cities with the most Bioinformatics Computational Biology job openings:
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Bioinformatics Computational Biology jobs near you
Infographic showing various Bioinformatics 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 $203,468 per year, or $97.8 per hour.

Computational Biologist - AI Reviewer

micro1 AI

Lakewood, CO • On-site, Remote

$90 - $120/hr

Part-time

Posted 15 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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