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Schrödinger

Computational platform for drug discovery

Computational Chemist

Quantitative Biology & BiostatisticsConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A Ph.D. in computational chemistry or a related field is required.
  • Robust scientific training in molecular modeling, statistical mechanics, and/or quantum mechanics is required, along with experience in one or more of computationally driven lead optimization, molecular dynamics, free-energy methods, machine learning, virtual ligand screening, cheminformatics, or ADMET modeling.
  • Familiarity with coding or scripting languages and/or chemically aware databases is sought.
  • Exposure to one or more relevant drug-discovery disciplines, such as synthetic organic chemistry, pharmacology, toxicology, formulation, biochemistry, physical chemistry, or analytical chemistry, is sought.

Responsibilities

  • Provide computational chemistry and modeling support to active drug-discovery projects while assisting with and developing appropriate modeling approaches to drive drug-discovery projects and methods development.
  • Troubleshoot computational problems.
  • Share knowledge with the greater Schrödinger Therapeutics Group.
  • Work closely with internal software-development teams to improve Schrödinger’s drug-discovery technologies.

Desired Qualifications

  • Postdoctoral or pharmaceutical/biotechnology experience is welcomed.
  • Experience as a structure-based drug designer is sought.

About the Company

Schrödinger

Computational platform for drug discovery

Schrödinger provides a computational platform for drug discovery used by biopharma, academia, and government labs worldwide. It offers an integrated software suite for molecular modeling and simulations that clients license or access through collaborative research, often complemented by joint drug-discovery programs. The company differentiates itself with a long history (since 1990), a global footprint in 70+ countries, and a combination of software tools plus collaborative services. Its goal is to advance science and talent by strengthening its platform while helping partners discover and develop medicines through computational methods and partnerships.

Company size
501-1,000
Company stage
IPO
Headquarters
New York City, New York
Founded
1990

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