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Computer Aided Drug Design, AI/ML Expert

Novartis
Full-time
On-site
Cambridge, MA
$119,700 - $245,700 USD yearly
Clinical Research and Development

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Role Summary

Senior Expert I/Senior Expert II, Data Science focused on Computer Aided Drug Design, AI/ML within Global Discovery Chemistry (GDC) of Biomedical Research in Cambridge, MA. Seek a researcher with a strong background in data science and/or computational chemistry to invent innovative medicines and advance drug discovery.

Responsibilities

  • Collaborate in a multidisciplinary team to discover and develop novel therapies across various disease areas.
  • Apply, develop, and integrate state-of-the-art machine-learning, cheminformatics, and physics-based algorithms to accelerate and impact portfolio projects.
  • Utilize data science and statistical methods to develop scientific hypotheses and contribute to data-driven drug discovery.
  • Combine machine learning with physics-based methods and adaptive automation to build and automate advanced computational workflows, enhancing medicinal chemistry projects.
  • Communicate scientific results at project and group meetings, decision boards, and external conferences.
  • Contribute to patent inventorship with novel ideas, scientific publications, and presentations.
  • Participate in global initiatives shaping the future of drug discovery at Novartis.

Qualifications

  • PhD in data science, machine learning, computational chemistry, engineering, or related field. In-lab experience with strong computational/data science experience also acceptable.
  • 2+ yearsβ€šΓ„Γ΄ experience in scientific software development/programming (e.g., SOTA ML/scientific software libraries, RDKit, ML Ops, Python stack).
  • Demonstrated track record of initiating, leading, or contributing to cutting-edge research in data science, ML, computational chemistry, or life sciences.
  • Curiosity, innovation, teamwork, and receptiveness to diverse perspectives; passion for growth.
  • Ability to critically interpret results, generate new experimental hypotheses, take calculated risks, and make smart decisions.
  • Ability to work in a fast-paced, team-oriented, matrixed environment.
  • Excellent oral and written communication and strong influencing skills.

Desirable Skills

  • Experience in computer-aided drug design (structure/ligand-based design, molecular dynamics, virtual screening, pharmacophore modeling).
  • Experience working with project teams in an industrial drug discovery setting.
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