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Proteomics Computational Biologist Jobs (NOW HIRING)

Odyssey Therapeutics, Inc.

Analyze GWAS, eQTL, transcriptomic, proteomic, and other human disease datasets to identify disease ... D. (or equivalent experience) in Computational Biology, Bioinformatics, Genetics, Immunology ...

UNAVAILABLE

Computational Biologist 1

Portland, OR · On-site

As a Computational Biologist, Level 1 , you will be focusing on advancing early cancer detection ... Experience with analysis of 'omic data (genomic, transcriptomic, proteomic etc.), particularly for ...

Biohub

Computational Biologist

Chicago, IL · On-site

$130K - $163K/yr

Integrate proteomics, metabolomics, and related datasets, and explore machine learning or transfer ... PhD in bioinformatics, computer science, statistics, computational biology, biomedical engineering ...

Form Bio, Inc.

$120K - $140K/yr

Computational Biologist (Hybrid) Location San Francisco Bay Area Pay Range $120,000-$140,000, based ... Analyze large-scale biological datasets (e.g. genomics, transcriptomics, proteomics) to identify ...

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Proteomics Computational Biologist information

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How much do proteomics computational biologist jobs pay per year?

As of Sep 13, 2026, the average yearly pay for proteomics 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 does a proteomics computational biologist do?

A Proteomics Computational Biologist specializes in analyzing large-scale protein data using computational and bioinformatics tools. They develop algorithms and software to interpret mass spectrometry data, identify proteins, and study their functions and interactions within biological systems. Their work helps advance our understanding of diseases, drug discovery, and the complex roles proteins play in living organisms. This field bridges biology, computer science, and statistics to extract meaningful insights from vast proteomics datasets.

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

To thrive as a Proteomics Computational Biologist, you need expertise in molecular biology, proteomics, and bioinformatics, often supported by a graduate degree in a relevant life science or computational field. Proficiency with mass spectrometry data analysis software, statistical programming languages (such as R or Python), and database management systems is typically required. Strong analytical thinking, problem-solving, and communication skills distinguish top performers in this role. These competencies enable accurate interpretation of complex proteomic data, driving meaningful biological insights and advancing research objectives.

What types of interdisciplinary collaboration can a proteomics computational biologist expect in their daily work?

Proteomics Computational Biologists frequently collaborate with experimental biologists, bioinformaticians, and clinical researchers to interpret large-scale proteomic data. They often work closely with mass spectrometry specialists to optimize data acquisition and with software engineers to improve analysis pipelines. This interdisciplinary environment requires strong communication skills and flexibility, as project goals may shift based on experimental results or new scientific questions. Such collaboration not only enriches the research but also provides valuable learning and networking opportunities for career growth.

What are popular job titles related to Proteomics Computational Biologist jobs?

For Proteomics Computational Biologist jobs, the most frequently searched job titles are:

Infographic showing various Proteomics Computational Biologist job openings in the United States as of September 2026, with employment types broken down into 4% Internship, 55% Full Time, 40% Part Time, and 1% Contract. Highlights an 55% Physical, 2% Hybrid, and 43% Remote job distribution, with an average salary of $93,988 per year, or $45.2 per hour.

Principal Computational Biologist

Boston, MA • Hybrid

Kemio Consulting Ltd
See more jobs at Kemio Consulting Ltdexternal

$160K - $200K/yr

Full-time

Re-posted 2 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