Demo

Principal Scientist, Computational Chemistry

Merck Sharp & Dohme
Boston, MA Full Time
POSTED ON 2/5/2025
AVAILABLE BEFORE 4/27/2025

Job Description

Position Description

We are seeking a creative, self-motivated computational chemist with exceptional interpersonal and problem-solving skills to join the Modeling and Informatics (M&I) department in Boston, MA, US. M&I is a diverse and inclusive team of approximately 50 computational chemists, cheminformaticians, data scientists and machine learning specialists who employ state of the art capabilities to drive drug design. We are an integral arm of both discovery and process chemistry and collaborate seamlessly with teams across the globe to innovate and invent better molecules faster. We are looking for a strategic thinker and accomplished computational drug hunter to take on a position that carries significant influence across our Company chemistry from target identification through delivery of clinical candidates.

Key responsibilities will include :

Scientific Innovation :

Leading and defining the in-silico strategy on multiple interdisciplinary discovery projects, design and optimize compounds using advanced computational techniques.

  • Analyzing novel drug targets for tractability using drugability assessment, prioritize targets and help define screening and modality strategies.
  • Functioning as a subject matter champion for ligand- and structure-based drug design across discovery teams.
  • Advancing our modeling capabilities through invention, implementation and application of new methodologies.

Strategy :

Leading strategic efforts to enable our future vision for Modeling and Informatics in chemistry.

  • Enabling a design-driven and predict-first culture throughout our Company's Chemistry department.
  • Contributing to our Company’s overarching drug discovery strategy.
  • Building Relationships :

    Mentorship and scientific development of M&I staff both locally and across our network.

  • Building bridges and fruitful collaborations with stakeholders across medicinal chemistry, pharmacokinetics & pharmacodynamics, quantitative biosciences, and therapeutic area biology.
  • We recognize that the diversity in our team is our strength and are committed to creating an inclusive environment for all employees. Successful candidates must demonstrate inclusive behaviors in working with a diverse group of scientists to drive our core mission.

    Education Minimum Requirement :

  • Ph.D. or M.S. in chemistry, biochemistry, biophysics, or equivalent with a computational emphasis.
  • Required Experience and Skills :

  • 7 years of professional experience with a Ph.D., or 9 years with a M.S.
  • Evidence of creative application of computational approaches to problems of pharmaceutical interest.
  • Strong oral and written communication skills, with a recognized ability to positively influence team decisions.
  • Ability to communicate, collaborate and deliver results in a fast-paced, global environment and to manage multiple priorities simultaneously.
  • Ability to see the ‘ big picture ’, and identify opportunities for impact now and in the future.
  • Proficiency in general molecular modeling techniques (docking, molecular simulation, homology modeling, quantum mechanics, QSAR / machine learning, ligand- and structure-based design) with modern software packages (e.g. Schrodinger, OpenEye, CCG).
  • Skilled in scientific programming (e.g. Python, Pipeline Pilot) and data analytics (e.g. Spotfire).
  • Preferred Experience and Skills :

  • Desire to lead strategic efforts relevant to drug discovery.
  • Passion for mentoring scientific staff.
  • Employee Status : Regular

    Relocation : Domestic

    VISA Sponsorship :

    Travel Requirements :

    Shift :

    Not Indicated

    Hazardous Material(s) :

    n / a

    Required Skills :

    Data Science, High Performance Computing (HPC), Machine Learning, Researching, Scientific Modeling

    Preferred Skills :

    Job Posting End Date :

    02 / 7 / 2025

    Requisition ID : R331775

    J-18808-Ljbffr

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