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Job Description · Associate Principal Scientist: Molecular Modeling, Analytical Research & Development · Our Scientists are our Inventors. We deliver robust scientific data and interpretation that drives the commercialization of breakthrough therapeutics using innovative thinking ...
- Expert execution of atomistic molecular modeling and molecular dynamics simulations
- Helping to coordinate best practices in atomistic modeling across departments
- Application of predictive approaches to address scientific problems across analytical characterization techniques
- Application of data science workflows to address pipeline challenges across all modalities
- Application and generation of data analysis, and visualization workflows
- Input on development of dashboards, reports, and data exports
- Influence definition of digital strategy
- Meet with collaborators to collect requirements
- Manage projects and timelines
- Presentation of updates to collaborators
- 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
- 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: Maestro, MOE, OpenEye, Gaussian, ORCA, 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
- Strive for continuous improvement and suggest innovative solutions to scientists' common challenges
- Insatiable curiosity to learn with the end goal of understanding the scientific problem statement and designing programs, software, or solutions to meet the end users' needs
- Multi-scale modeling including coarse grained molecular dynamics
- Machine learning
- 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
- Scientific supervisory experience related to guiding the work of junior scientists.
Associate Principal Scientist: Molecular Modeling, Analytical Research - Boston - MSD
Description
Associate Principal Scientist: Molecular Modeling, Analytical Research & DevelopmentWe deliver robust scientific data and interpretation that drives the commercialization of breakthrough therapeutics using innovative thinking, state-of-the-art facilities and modern equipment. Our ability to excel depends on the integrity, knowledge, imagination, skill, diversity and teamwork of people like you.
The Analytical Research & Development organization in Rahway, NJ, Boston, MA, or West Point, PA is seeking a motivated Associate Principal Scientist with technical expertise in atomistic modeling of drug substance and drug formulations with an ability to apply predictive sciences to support 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.
Establishing data workflows, data visualizations, and predictive tools to enable more effective identification, characterization, and development of novel medicines and vaccines is a key objective for our company.
Primary Responsibilities
Education Requirements
Required Experience and Skills
Preferred Experience and Skills
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