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Volunteer Bioinformatics Computational Biology Jobs

Guidehouse

Bioinformatics Scientist

Durham, NC · On-site +1

Master's degree in Bioinformatics, Biostatistics, Computational Biology, Biological Sciences ... Voluntary Life and AD&D Insurance * Health Savings Account, Health Care & Dependent Care Flexible ...

Guidehouse

Bioinformatics Scientist

Bethesda, MD

$65K - $108K/yr

Master's Degree in Bioinformatics, Computational Biology, or a related discipline. * A minimum of ... Voluntary Life and AD&D Insurance * Health Savings Account, Health Care & Dependent Care Flexible ...

Guidehouse

Bioinformatics Scientist

Durham, NC · On-site

Master's degree in Bioinformatics, Biostatistics, Computational Biology, Biological Sciences ... Voluntary Life and AD&D Insurance * Health Savings Account, Health Care & Dependent Care Flexible ...

Guidehouse

Bioinformatics Scientist

Bethesda, MD · On-site

$65K - $108K/yr

Master's Degree in Bioinformatics, Computational Biology, or a related discipline. * A minimum of ... Voluntary Life and AD&D Insurance * Health Savings Account, Health Care & Dependent Care Flexible ...

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Volunteer Bioinformatics Computational Biology information

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$84.5K

$102.3K

$119.5K

How much do volunteer bioinformatics computational biology jobs pay per year?

As of Aug 27, 2026, the average yearly pay for volunteer bioinformatics computational biology in the United States is $102,271.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $110,000.00 per year, depending on experience, location, and employer.

What is a volunteer bioinformatics computational biology?

Volunteer Bioinformatics Computational Biologists are individuals who contribute their time and expertise to support research projects in the fields of bioinformatics and computational biology without financial compensation. They typically assist with analyzing biological data, developing algorithms, or managing databases to help advance scientific understanding. These volunteers may work with academic institutions, non-profit organizations, or collaborative research groups, often contributing remotely. Their work helps facilitate discoveries in genomics, proteomics, and other biological disciplines by applying computational methods to complex biological questions.

What are the key skills and qualifications needed to thrive as a volunteer in bioinformatics computational biology?

To thrive as a Volunteer in Bioinformatics Computational Biology, you need a solid background in biology, statistics, and computer science, often with coursework or experience in genomics or molecular biology. Familiarity with programming languages like Python or R, experience with bioinformatics tools (such as BLAST, Bioconductor, or Galaxy), and understanding of databases are typically required. Strong analytical thinking, attention to detail, and effective communication skills help volunteers collaborate and interpret complex data. These skills are crucial for contributing meaningful insights to research projects and ensuring accurate data analysis in a collaborative scientific environment.

How do volunteer bioinformatics computational biology roles typically contribute to larger research projects, and what collaboration can I expect with other team members?

As a volunteer in Bioinformatics Computational Biology, you'll often work on specific tasks such as data analysis, pipeline development, or assisting with software tools that support broader research initiatives. Collaboration is a key aspect, as you'll likely interact with biologists, data scientists, and other computational experts to ensure your work aligns with the project goals. Regular meetings and shared repositories are common, allowing for feedback and integration of your contributions. This collaborative environment offers valuable learning opportunities and insight into multidisciplinary research processes.
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Volunteer Bioinformatics Computational Biology jobs near you
Infographic showing various Volunteer Bioinformatics Computational Biology job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $102,271 per year, or $49.2 per hour.

Principal Computational Biologist

Kemio Consulting Ltd

Boston, MA • Hybrid

Full-time

Re-posted 15 days ago

Job description

Principal Computational Biologist
Location: Boston, MA (Hybrid)
This is an exciting opportunity to join a clinical-stage biotechnology company developing first-in-class therapies through a novel understanding of biology. Working at the forefront of drug discovery, the organisation combines cutting-edge biology with computational science to speed up the development of new treatments for patients.
We are looking for a Principal Computational Biologist to lead the companies computational biology efforts. You’ll work alongside biologists and chemists using bioinformatics to drive drug discovery decisions and influence strategy. You will lead the design, execution and interpretation of complex bioinformatics analyses across multiple therapeutic programmes.
Key Responsibilities
  • Partner with scientists to design computational strategies that answer key biological questions.
  • Develop and implement bioinformatics pipelines for the analysis of multi-omics datasets.
  • Evaluate and introduce emerging analytical methods and technologies where appropriate.
  • Analyse RNAseq, proteomics, phospho-proteomics and whole genome sequencing data.
  • Integrate pathway databases, network resources and published literature to generate meaningful biological insights.
  • Present complex analyses in a clear and impactful way.
  • Lead bioinformatics workstreams from conception through to delivery.
  • Mentor junior team members.
What we are looking for:
  • PhD in Bioinformatics, Computational Biology, Genomics or a related field.
  • 4 or more years of post-PhD industry experience
  • Strong programming skills in Python and/or R.
  • Proficiency analysing bulk RNA-seq datasets.
  • Expertise in statistical analysis of transcriptomics and proteomics data, including differential expression and pathway analysis.
  • Experience integrating multi-omics datasets to answer biological questions.
  • Strong understanding of molecular biology and drug discovery.
  • Excellent communication skills with the ability to collaborate across multidisciplinary research teams.
  
This is a highly collaborative, hands-on role offering significant ownership and the opportunity to shape computational biology capabilities within a rapidly growing biotech, which you can grow with. Apply today to be considered.
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
Keywords: Bioinformatics / Bioinformatician / computational biology / computational biologist / RNAseq / RNA-seq / transcriptomics / single cell / singlecell / multiomics / multi-omics / proteomics / genomics / drug discovery / biotech / biotechnology / lead / principal / leadership