Senior Computational Biologist; Hybrid

Responsibilities

• Working within an interdisciplinary team of scientists to perform and support omics analysis of biomanufacturing processes.
• Be intrinsically involved in performing and supporting 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 building interactive dashboards and developing and maintaining databases.
• 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.
• Embody FAIR principles (Findable, Accessible, Interoperable, Reusable) to maintain a well‑documented, reproducible, and versioned codebase.
• Communicate scientific findings in a fast‑paced, multi‑disciplinary global team environment to drive progress.

• Ph.D. (graduation September 2026 or before) in Biology or related life sciences with a strong bioinformatics component, or a computational biology or related degree with a strong biology component.
• M.S. in Biology or related life sciences with a strong bioinformatics component, or a computational biology or related degree with a strong biology component, with a minimum of 2+ years experience.
• B.S. in Biology or related life sciences with a strong bioinformatics component, or a computational biology or related degree with a strong biology component, with a minimum of 4+ years 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 in one or more omics methods and technologies (proteomics, metabolomics, genomics, transcriptomics).
• Excellent collaboration, organization, and communication skills.

• Experience analyzing proteomics and metabolomics data.
• Familiarity with transcriptomics analysis methods (bulk and single‑cell).
• Experience with pathway analysis, host cell protein characterization, post‑translational modification (PTM) characterization, and in silico immunogenicity screening.
• Familiarity with data integration methods for multi‑omics work (proteomics/metabolomics with transcriptomics).
• 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 is advantageous but not essential.
• Familiarity or experience with relevant bench methods (proteomics, mass‑spec, sequencing library preparation, microbial culturing).

• Adaptability
• Bioinformatics
• Biological Sciences
• Cloud Computing
• Computational Biology
• Global Team Collaboration
• Innovative Thinking
• Life Science
• Metabolomics
• Nextflow
• Omics
• Pathway Analysis
• Programming Languages
• Proteomics
• Python (Programming Language)
• Strategic Thinking
• Technical Writing
• Transcriptomics
• Version Control

• Good Manufacturing Practices (GMP)

Merck is an Equal Employment Opportunity Employer. We provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities.

• US and Puerto Rico Residents Only.
• San Francisco Residents Only – Consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance.
• Los Angeles Residents Only – Consider eligible applicants, including those with criminal histories, in a manner consistent with the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance.
• Employee Status:
  Regular
• Relocation:
  Domestic
• VISA Sponsorship:
  No
• Travel Requirements: 10%
• Flexible Work Arrangements:
  Hybrid
• Shift: 1st – Day
• Valid Driving License:
  No
• Hazardous Materials: N/A
• Job Posting End Date: 07/7/2026

Salary range: $ – $. Annual bonus and long‑term incentive may be available. Benefits include medical, dental, vision, retirement (401(k)), paid holidays, vacation, compassionate and sick days. Details at