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Senior Computational Biologist; Hybrid

Job in Cambridge, Middlesex County, Massachusetts, 02140, USA
Listing for: Merck
Full Time position
Listed on 2026-07-08
Job specializations:
  • Research/Development
    Biotech Research
Salary/Wage Range or Industry Benchmark: 119100 - 187500 USD Yearly USD 119100.00 187500.00 YEAR
Job Description & How to Apply Below
Position: Senior Computational Biologist (Hybrid)

Job Description

We are a global biopharmaceutical leader with a varied portfolio of prescription medicines, oncology, vaccines, and animal health products. With 69,000 employees operating in more than 140 countries, we offer state‑of‑the‑art laboratories, plants, and offices designed to inspire our employees as we learn, develop and grow in our careers.

We are seeking a Senior Scientist to join our Digital Insights team within the Development Sciences and Clinical Supply (DSCS) Digital Technologies organization. The Omics Platforms team within Digital Insights seeks a Senior Computational Biologist with a strong background in proteomics and multi‑omics data integration to support our biologics, vaccine, and small molecule pipeline.

Responsibilities
  • Work within an interdisciplinary team of scientists to perform and support omics analysis of biomanufacturing processes.
  • Perform and support proteomics and metabolomics data analysis and multi‑omics data integration across various pipeline programs.
  • Design, develop and adapt computational approaches and pipelines for novel applications.
  • Democratize data access for non‑computational stakeholders through interactive dashboards and database maintenance.
  • Author technical documents and reports according to current regulatory requirements and business practices.
  • Manage stakeholder relationships across IT, Analytical, Manufacturing, Process Development, Quality, and Regulatory partners in a matrix structure.
  • Embed FAIR principles with a well‑documented, reproducible, and versioned codebase.
  • Communicate scientific findings within multidisciplinary global teams in a fast‑paced environment.
Education Requirements
  • Ph.D. in Biology or related life sciences with a strong bioinformatics component, or a computational biology degree with a strong biology component; graduation no later than September 2026.
  • M.S. in Biology or related life sciences with a strong bioinformatics component, or a computational biology degree with a strong biology component; minimum 2 + years experience.
  • B.S. in Biology or related life sciences with a strong bioinformatics component, or a computational biology degree with a strong biology component; minimum 4 + years experience.
Required Experience
  • Strong programming experience (R, Python, Nextflow, Bash scripting, etc.).
  • Experience working in cloud computing environments and managing data and workflows.
  • Experience with version control tools such as Git (Git Hub, Bit Bucket).
  • Strong background in computational methods for omics technologies (proteomics, metabolomics, genomics, transcriptomics).
  • Excellent collaboration, organization, and communication skills.
Preferred Experience
  • Analyzing proteomics and metabolomics data.
  • Familiarity with transcriptomics analysis methods (bulk or single‑cell).
  • Experience with pathway analysis, host cell protein characterization, PTM characterization, and in‑silico immunogenicity screening.
  • Data integration methods for multi‑omics work.
  • Experience with metabolic modeling and 13C metabolic flux analysis in CHO systems.
  • Experience with genome assembly (viral, bacterial, eukaryotic).
  • Experience in GxP or GMP environments.
  • Familiarity with bench methods (proteomics, mass‑spec, sequencing library preparation, microbial culturing).
Required Skills
  • Adaptability, Bioinformatics, Cloud Computing, Computational Biology, Global Team Collaboration, Innovative Thinking, Life Science, Metabolomics, Nextflow, Omics, Pathway Analysis, Programming, Proteomics, Python, Strategic Thinking, Technical Writing, Transcriptomics, Version Control.
Preferred Skills
  • Good Manufacturing Practices (GMP).
Salary

$ – $. Salary is based on education, qualifications, experience, location, and business needs. Eligible for annual bonus and long‑term incentives where applicable.

Benefits

Comprehensive package including medical, dental, vision, retirement (401(k)), paid holidays and vacation, and sick and compassionate days. More information at

Equal Employment Opportunity

As an equal‑employment‑opportunity employer, we prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or other legally protected characteristics. All persons are welcome to apply.

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Position Requirements
10+ Years work experience
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