Senior Scientist: Molecular Modeling within the Digital Insights Team

About this role

Job Description

Job Summary:   We are a global biopharmaceutical leader with a 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 Senior 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 the teams developing them, and in this Senior 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 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 of problem statements across our Company Research Laboratories. 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, 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.

• 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

• Undefined

Education Minimum Requirements: • A Ph.D. in Computational Chemistry, Chemistry, Biochemistry, Engineering, Data Science, Mathematics, Physics, Biology, Pharmaceutical Sciences, or a closely-related field.

• A M.S. in Computational Chemistry, Chemistry, Biochemistry, Engineering, Data Science, Mathematics, Physics, Biology, Pharmaceutical Sciences, or a closely-related field with at least 2 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 4 years of relevant experience.

• Undefined

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: Academic Research, Academic Research, Adaptability, Analytical Chemistry, Biology, Bioprocessing, Business Development, Chemistry, Computational Chemistry, Cr

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