Principal Scientist, Biocatalysis

MSD; Rahway (NJ); On-site; USD 173,000 - 273,000; Full time

Job summary

Merck & Co., Inc. in Rahway, NJ, seeks a senior scientist to lead data‑driven biocatalysis programs. You will integrate automation, digital platforms, and AI/ML for experimental design and protein engineering.

The role drives high‑throughput assay development, tool adoption across teams, and mentorship while partnering with IT to accelerate discovery and scale computational workflows. Applicants should hold a PhD with extensive industry experience in biochemistry, enzyme engineering, and data

Qualifications

• Ph.D., M.S, or B.S. in Biochemistry, Bioengineering, Biophysics, Chemistry, Chemical Engineering, Molecular Biology, Synthetic Biology, or related field with minimum years of relevant industry experience.
• Demonstrated experience in biocatalytic process development and enzyme engineering using directed evolution.
• Proficiency in coding, including Python and SQL.

Responsibilities

• Lead data science, automation, process development, and protein engineering initiatives.
• Develop and implement digital tools/workflows for data ingestion, QC, visualization, and analysis.
• Drive AI/ML and LLM-based approaches for experimental design and data mining.
• Scale high-throughput automation for enzyme engineering and biochemical assays.
• Collaborate with IT and internal teams to accelerate discovery and engineering.

Skills

Biochemistry

Bioconjugation

Biological Engineering

Biomolecular Chemistry

Computational Chemistry

Computational Methods

Data Analysis

Drug Development

Enzymatic Activity Assays

Enzyme Kinetics

Enzymology

High-Throughput Experimentation

Organic Synthesis

Protein Characterization

Protein Chemistry

Research Proposal Development

Scientific Literature Search

Small Molecules

Structure Based Drug Design

Synthetic Chemistry

Education

Ph.D. in Biochemistry / related field

M.S. in Biochemistry / related field

B.S. in Biochemistry / related field

Tools

Benchling

Biometrics Automation Tools

Biometek / Dragonfly / Mantis / Firefly

Job description

Job Description

Job Responsibilities

• Apply expertise in data science, automation, process development, and protein engineering to solve complex biocatalysis challenges.
• Lead development and implementation of digital tools and workflows for data ingestion, standardization, QC, visualization, and analysis.
• Integrate digital platforms and drive adoption of tools that connect experiments to scalable computational workflows and data‑driven decisions.
• Drive the development of AI/ML and LLM‑based approaches for experimental design, data mining, and longitudinal analysis.
• Lead the design and scaling of high‑throughput automation for enzyme engineering, including biochemical assay setup and screening and process development.
• Partner with internal teams (DDT, IT) to implement digital and automation solutions that accelerate biocatalyst discovery and engineering.
• Provide technical leadership, communicate results, mentor scientists, and evaluate emerging technologies.

Education Requirements

• Ph.D., M.S, or B.S. degree in Biochemistry, Bioengineering, Biophysics, Chemistry, Chemical Engineering, Molecular Biology, Synthetic Biology, or a related field with a minimum of 7 (Ph.D.), 10 (M.S.), or 12 (B.S.) years of relevant industry experience.

Required Experience and Skills

• Demonstrated experience in biocatalytic process development.
• Demonstrated experience in enzyme engineering using directed evolution.
• Experience using Benchling for scientific data capture and workflow support.
• Experience with laboratory automation, high‑throughput experimentation, and liquid‑handling platforms such as Biomek, Firefly, Dragonfly, and Mantis.
• Proficiency in coding, including Python and SQL.
• Experience identifying and implementing digital and automation technologies that improve experimental workflows, data capture, and decision‑making (data science).
• Proven ability to lead and collaborate effectively in multidisciplinary teams.
• Demonstrated ability to mentor and develop scientific talent.
• Strong written and verbal communication skills.
• Strong organizational and project management skills.
• Track record of peer‑reviewed publications, presentations, or other scientific contributions.

Preferred Experience and Skills

• Familiarity with the integration of automation, informatics, and data infrastructure in a research or development environment.
• Experience applying machine learning to protein engineering or enzyme design.
• Experience with biochemical, biophysical, and/or phenotypic characterization of proteins.
• Familiarity with the drug development process, particularly the CMC (Chemistry, Manufacturing, and Controls) function.
• Experience working in a matrixed organization and partnering effectively across scientific and technical functions.

Required Skills

• Biochemistry, Bioconjugation, Biological Engineering, Biomolecular Chemistry, Computational Chemistry, Computational Methods, Data Analysis, Drug Development, Enzymatic Activity Assays, Enzyme Kinetics, Enzymology, High‑Throughput Experimentation (HTE), Organic Synthesis, Protein Characterization, Protein Chemistry, Research Proposal Development, Scientific Literature Search, Small Molecules, Structure Based Drug Design, Synthetic Chemistry

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:

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The salary range for this role is $173,200.00 - $272,600.00. 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 https://jobs.merck.com/us/en/compensation-and-benefits.

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

Search Firm Representatives Please Read Carefully

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.

Employee Status: Regular

Relocation: Domestic

VISA Sponsorship: No

Travel Requirements: 10%

Flexible Work Arrangements: Not Applicable

Shift: Not Indicated

Valid Driving License: No

Hazardous Material(s): n/a

Job Posting End Date: 10/2/2026