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, and 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 multi-disciplinary 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 bioinformatic 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 bioinformatic 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 bioinformatic 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). 

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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:

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The salary range for this role is

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 https://jobs.merck.com/us/en/compensation-and-benefits.

You can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.

San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance

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Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company.  No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. 

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