Associate Principal Scientist, Molecular Modeling

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Job Description We are a global biopharmaceutical leader with a diverse 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 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

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