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. We are driven by our purpose to develop and deliver innovative products that save and improve lives. With 69,000 employees operating in more than 140 countries, we offer state‑of‑the‑art laboratories, plants, and offices that are designed to inspire our employees as we learn, develop, and grow in our careers. We are proud of our over 125 years of service to humanity and continue to be one of the world’s biggest investors in Research & Development. We are seeking a Senior Scientist to join our Digital Insights team within the Development Sciences and Clinical Supply (DSCS) Digital Technologies organization. Digital is the multiplier that will allow DSCS to deliver better experiments faster, efficient filing and launch, more robust supply chains and higher‑confidence decisions across the portfolio. The DSCS Digital Technologies organization is responsible for the invention and application of new digital tools/workflows to support scientists across drug substance development, drug product development, and analytical development. We aspire to embed digital technologies into the fabric of DSCS culture to drive transformational impact. The Omics Platforms team within Digital Insights group is seeking applicants for a Senior Computational Biologist with a strong background in proteomics and multi‑omics data integration to join our team. Within the Omics Platforms team, the development, validation, and implementation of Omics technology and creation of analysis platforms is a key activity. The successful candidate will be able to collaborate in a dynamic, integrated, multidisciplinary team environment working across our biologics, vaccine, and small‑molecule pipeline. Responsibilities include: Working within an interdisciplinary team of scientists to perform and support omics analysis of the 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. Working across teams in a matrix structure, manage stakeholder relationships across IT, Analytical, Manufacturing, Process Development, Quality, and Regulatory partners. Embody FAIR principles (Findable, Accessible, Interoperable, and Reusable) to maintain a well‑documented, reproducible, and versioned codebase. Thrive within multidisciplinary global teams to communicate scientific findings in an exciting fast‑paced environment to drive progress. Education Requirements: A Ph.D. (Graduation September 2026 or before) in Biology or related life sciences degree 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 degree 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 degree with a strong bioinformatics component or a computational biology or related degree with a strong biology component with a minimum of 4+ years experience. Required Experience Strong programming experience (e.g. R, Python, Nextflow, Bash scripting, etc.). Experience working in cloud computing environments and managing data and workflows. Experience working with version control tools such as git (e.g. GitHub, BitBucket). Strong background in computational methods in one or more omics methods and technologies (e.g. proteomics, metabolomics, genomics, transcriptomics). Excellent collaboration, organization, and communication skills are required. Preferred Experience: Experience analyzing proteomics and metabolomics data. Familiarity with transcriptomics analysis methods (e.g. 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 (e.g. 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 (e.g. proteomics, mass‑spec, sequencing library preparation, microbial culturing). Required Skills: 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 Preferred Skills: Good Manufacturing Practices (GMP) US and Puerto Rico Residents Only: Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process. As 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. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit: EEOC Know Your Rights. EEOC GINA Supplement. We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. Learn more about your rights, including under California, Colorado and other US State Acts. The salary range for this role is $119,100.00 - $187,500.00. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs. The successful candidate will be eligible for annual bonus and long‑term incentive, if applicable. We offer a comprehensive package of benefits. Available benefits include medical, dental, vision, healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at Employee Status: Regular. Relocation: Domestic. VISA Sponsorship: No. Travel Requirements: 10%. Flexible Work Arrangements: Hybrid. Shift: 1st – Day. Valid Driving License: No. Hazardous Material(s): n/a. Job Posting End Date: 07/7/2026. Requisition ID: R404325. #J-18808-Ljbffr Merck