Job Description

We are seeking a motivated Associate Principal Scientist to join our Digital Insights team within the Development Sciences and Clinical Supply (DSCS) Digital Technologies organization. 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. 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. We aspire to embed digital technologies into the fabric of DSCS culture to drive transformational impact, by innovating solutions through strong partnership in the domains of Data Science, Data Analysis, Informatics, Multi-Omics, Predictive Science, and Data Engineering.

The tools that we develop are as diverse as the teams developing them, and in this Associate Principal Scientist role, the successful candidate will leverage their expertise in atomistic modeling of drug substance and drug formulations with an ability to apply predictive sciences to support our Company’s pipeline of antibodies, small molecules, peptides, biologics, conjugates, and vaccines. This role will allow the candidate to solve complex scientific challenges through application of data modeling, analysis, and visualization tools. Initial focus will be related to modeling of antibodies and small molecule drug formulations.

The successful candidate is expected to collaboratively work with process, formulation, computational, and analytical scientists, understand their problem statements, and collaboratively implement and apply predictive science solutions. The candidate must be able to work proactively and independently and influence decisions and solutions spanning a wide diversity of problem statements across our Research & Development Division. The role will require the candidate to network across a range of departments and effectively collaborate with stakeholders. The candidate should exemplify positive ways of working which support diversity, inclusion, and a positive culture.

Primary Responsibilities

• Expert execution of atomistic molecular modeling and molecular dynamics simulations.
• Application of predictive approaches to address scientific problems across pharmaceutical characterization techniques.
• Application of data science workflows to address pipeline challenges across all modalities with initial emphasis on biologics.
• Application and generation of data analysis, and visualization workflows.
• Input on development of dashboards, reports, and data exports.
• Influence definition of digital strategy.
• Lead and manage projects, including scope definition, stakeholder alignment, milestone tracking, and delivery against project timelines
• Build strong partnerships with business stakeholders to gather requirements for new digital and data solutions which will have direct pipeline impact.
• Demonstrate excellent interpersonal, communication, and collaboration skills
• Demonstrate a clear ability to perform impactful scientific innovation in a team-oriented manner that builds trusted partnerships across vast stakeholder networks
• Have a demonstrated ability to publish and present research, including an established track record of interaction with the broader academic community

Education Minimum Requirements

• A Ph.D. in Computational Chemistry, Chemistry, Biochemistry, Engineering, Data Science, Mathematics, Physics, Biology, Pharmaceutical Sciences, or a closely-related field with at least 4 years of relevant experience.
• A M.S. in Computational Chemistry, Chemistry, Biochemistry, Engineering, Data Science, Mathematics, Physics, Biology, Pharmaceutical Sciences, or a closely-related field with at least 6 years of relevant experience.
• A B.S. in Computational Chemistry, Chemistry, Biochemistry, Engineering, Data Science, Mathematics, Physics, Biology, Pharmaceutical Sciences, or a closely-related field with at least 8 years of relevant experience.

Required Experience and Skills

• Expertise in atomistic modeling (direct experience with antibodies and at least one other modality: small molecules, peptides, biologics, conjugates, and vaccines).
• Expertise in executing molecular dynamics simulations of multi-component systems.
• Expertise across multiple computational modeling platforms such as: Rosetta, Gromacs, Amber, Schrodinger, MOE, Gaussian, AlphaFold, etc.
• Familiar with programming in R and/or Python and Posit/RStudio/Jupyter
• Experience with one or more data visualization tools (Shiny, Spotfire, Dash, PowerBI, Streamlit, or Tableau).
• Excellent verbal and written communications skills.
• Work independently and be able to collaborate as a team.

Preferred Experience and Skills

• Multi-scale modeling including coarse grained molecular dynamics.
• Familiarity with Machine learning/Gen AI.
• Experience with pharmaceutical drug product development involving formulation design.
• Knowledge of development of chemical matter across one or more modalities.
• Track record of impact in the pharmaceutical industry with relevant examples directed towards pipeline objectives.
• Development of dashboards, reports, and data exports.

Required Skills:

Preferred Skills:

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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

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. 

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