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Per Diem Computational Biologist information

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$48.5K

$94K

$133.5K

How much do per diem computational biologist jobs pay per year?

As of Aug 25, 2026, the average yearly pay for per diem computational biologist 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 is a per diem computational biologist?

A Per Diem Computational Biologist is a professional who applies computational and statistical techniques to analyze biological data, such as genomics, proteomics, or clinical datasets, on an as-needed or hourly basis. Unlike full-time employees, per diem workers are typically hired for specific projects or to cover temporary staffing needs, offering flexible work arrangements. Their responsibilities may include data analysis, algorithm development, and collaboration with research teams to extract insights from complex biological data. This role is often found in research institutions, hospitals, and biotech companies that require specialized expertise without a long-term commitment.

How does a per diem computational biologist typically integrate with full-time research teams and contribute to ongoing projects?

As a Per Diem Computational Biologist, you will often collaborate closely with full-time researchers, providing specialized expertise on a flexible, as-needed basis. While your schedule may differ from standard full-time staff, you'll be expected to attend key meetings, communicate your findings clearly, and adapt to shifting project priorities. The role often requires quickly familiarizing yourself with existing datasets and research goals so that you can deliver impactful analyses or develop computational tools that complement the team's objectives. Strong communication skills and the ability to work independently are crucial for success in this dynamic, collaborative environment.

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

To thrive as a Per Diem Computational Biologist, you need a strong background in biology, statistics, and computer science, typically supported by an advanced degree in a relevant field. Expertise in programming languages (such as Python or R), bioinformatics tools (e.g., BLAST, Galaxy), and experience with high-throughput data analysis are commonly required. Strong problem-solving skills, adaptability, and effective communication help you excel in dynamic, project-based environments. These skills ensure accurate data interpretation, efficient collaboration with research teams, and the ability to deliver high-quality results on short-term assignments.

What is the difference between Per Diem Computational Biologist vs Contract Computational Biologist?

AspectPer Diem Computational BiologistContract Computational Biologist
Work ArrangementTemporary, on-demand assignments, often with flexible hoursProject-based, fixed-term contracts with specific deliverables
CredentialsTypically requires a relevant degree and experience in computational biologySimilar credential requirements, often with additional project-specific skills
Work EnvironmentLabs, research institutions, or remote workResearch facilities, biotech companies, or remote
Employer UsageHospitals, research institutes, biotech firms needing temporary supportOrganizations seeking specialized expertise for defined projects

Both roles involve computational biology skills and similar credentials, but Per Diem Computational Biologists typically work on flexible, short-term assignments, while Contract Computational Biologists are engaged for specific projects with defined durations.

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Per Diem Computational Biologist jobs near you
Infographic showing various Per Diem Computational Biologist job openings in the United States as of August 2026, with employment types broken down into 57% Full Time, 42% Part Time, and 1% Contract. Highlights an 52% Physical, 2% Hybrid, and 46% Remote job distribution, with an average salary of $93,988 per year, or $45.2 per hour.

Computational Biologist

Odyssey Therapeutics, Inc.

Boston, MA • On-site

$120K - $180K/yr

Full-time

Posted 22 days ago

Job description

Odyssey Therapeutics is propelling drug development beyond what is now possible to deliver medicines that address critical needs of patients with inflammatory and immunology diseases. We achieve unprecedented speed and efficiency by bringing together a target-centric approach, a toolbox of cutting-edge technologies, and a team of accomplished, world-class drug hunters. By reimagining the drug development process, we are creating a deep and broad drug pipeline that holds the potential to transform human health.
The opportunity:
Odyssey Therapeutics is seeking a Computational Biologist to support target discovery, translational biology, biomarker development, and clinical data analysis across our portfolio of autoimmune and inflammatory disease programs.
This role will work closely with Discovery Biology, Translational Medicine, Clinical Development, and external collaborators to analyze and integrate genomic, transcriptomic, and clinical datasets to generate actionable biological insights that support therapeutic hypothesis generation, patient stratification, and clinical development strategies.
Your primary objectives will be:
  • Analyze internal and publicly available omics datasets to support target discovery, translational research, and therapeutic hypothesis generation.
  • Develop, maintain, and optimize robust bioinformatics pipelines for the analysis of multi-omics datasets.
  • Analyze GWAS, eQTL, transcriptomic, proteomic, and other human disease datasets to identify disease-relevant pathways, therapeutic targets, and biomarkers.
  • Evaluate clinical and translational datasets to identify biomarkers associated with therapeutic response, resistance, and disease progression.
  • Collaborate closely with Discovery Biology, Chemistry, Translational Medicine, and Clinical Development teams to integrate diverse datasets and generate actionable biological insights.
  • Present scientific findings to cross-functional teams and contribute to internal reports, scientific presentations, publications, and external communications.

About you:
  • Ph.D. (or equivalent experience) in Computational Biology, Bioinformatics, Genetics, Immunology, Systems Biology, or a related discipline.
  • 2+ years of experience developing bioinformatics pipelines and applying computational approaches to immunology and/or drug discovery in an industry or academic setting.
  • Deep expertise in computational biology, bioinformatics, and statistical analysis of large-scale biological datasets.
  • Experience analyzing GWAS, whole-genome sequencing (WGS), and other human genetics datasets.
  • Experience working with large public genomics resources such as GEO, ArrayExpress, UK Biobank, All of Us, Open Targets, FinnGen, or similar repositories.
  • Demonstrated expertise in developing pipelines for bulk and single-cell omics technologies, including RNA-seq, scRNA-seq, CITE-seq, ATAC-seq, ChIP-seq, WGS, and WES.
  • Strong proficiency in R and/or Python, with experience using version control and developing reproducible, standardized analysis workflows.
  • Ability to rapidly learn and apply new computational methods and emerging omics technologies.
  • Broad understanding of molecular biology, cell biology, biochemistry, and translational research.
  • Familiarity with autoimmune, inflammatory, or immune-mediated diseases.
  • Experience managing and analyzing large, complex datasets across multiple research programs.
  • Proven ability to work collaboratively with computational scientists, biologists, chemists, and cross-functional project teams.
  • Strong scientific communication skills, with the ability to independently perform analyses and clearly communicate findings to both computational and non-computational audiences.
  • Demonstrated scientific contributions to computational biology and drug discovery through publications, presentations, or other impactful research.
  • Creative, scientifically rigorous, and motivated to solve challenging biological problems in a collaborative environment.
  • Experience supporting translational medicine, biomarker discovery, or clinical development programs is preferred.
  • Experience integrating multi-modal omics datasets and applying AI or machine learning approaches to biological data analysis is preferred.

Pay Range Disclosure Statement:
The ranges provided are based on what we believe are reasonable estimate for the base salary pay ranges for this job at the time of posting. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.
The pay range for this role is:
120,000 - 180,000 USD per year (Boston, MA)

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