Schrodinger

Senior / Principal Scientist, Structural Biology - Target Druggability & Structure-Based Drug Design

Schrodinger$135K — $190K *
Pharmaceuticals & Biotech
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD or equivalent experience in Structural Biology, Biophysics, or Computational Chemistry.
  • Hands-on expertise in structure-based drug design and cryptic binding site identification.
  • Proficient in modern computational structural biology tools like AI-based prediction and MD sampling.
  • Experience in cryo-EM and X-ray crystallography techniques for capturing dynamic structures.
  • Strong communication skills for presenting scientific rationale to diverse audiences.

Responsibilities

  • Define druggability hypotheses for difficult-to-drug targets using multidisciplinary evidence.
  • Advance computational methods, including AI/ML, for structure prediction and binding site identification.
  • Translate insights into actionable experiments for medicinal chemistry and biology teams.
  • Integrate emerging methods into practical workflows for druggability assessment.
  • Present findings to project teams and leadership, simplifying complex concepts for non-experts.
  • Lead structural biology experiments in drug discovery, managing collaborations with CROs.
  • Contribute to platform strategy based on practical target-tractability insights.

Benefits

  • Competitive salary and stock options.
  • Comprehensive healthcare coverage including dental and vision.
  • 401k plan with employer match.
  • Flexible work schedule to promote work-life balance.
  • Over a month of paid vacation time.
  • Catered meals in the office for staff.
  • Parental leave program to support family needs.
Full Job Description
Schrödinger seeks a Senior or Principal Scientist in Structural Biology (Target Druggability and Structure-Based Drug Design) to join us in our mission to transform the discovery of therapeutics and materials!
As a member of our Structural Biology and Target Enablement team in our Therapeutics Group, you'll partner with Molecular Pharmacologists, Biologists, Medicinal Chemists, and Computational Chemists to define target tractability strategies, identify and validate novel and cryptic binding sites, and design and supervise experimental campaigns to solve unprecedented structures that unlock previously intractable targets. Sitting at the interface of computation and experiment, you'll be as comfortable proposing in silico-predicted binding site hypotheses as you are designing and executing the experimental structural biology strategies to test them.
Who will love this job:
  • A scientist with a track record of success in assessing and expanding oral drug tractability for challenging and undrugged targets
  • A structural and computational biology expert who's familiar with Schrödinger's platform (Glide, FEP+, BioLuminate, Prime, etc.) or comparable structure-based design software
  • A veteran of computational-experimental hybrid work in biotech, pharma, or an SBDD-focused software company
  • A researcher who has worked on modality-switch programs (e.g., biologic-to-small-molecule or PROTAC/molecular glue strategies)
  • An excellent scientific communicator who has presented target tractability assessments to senior stakeholders and defended hypotheses under scientific scrutiny

What you'll do:
  • Define druggability hypotheses for difficult-to-drug targets by integrating structural, computational, biophysical, and pharmacological evidence
  • Apply and advance computational methods, including AI/ML approaches, for structure prediction and refinement, small-molecule binding site identification (including cryptic and transient pockets), pocket druggability scoring, and conformational sampling of target ensembles
  • Translate structural and computational insights into actionable hypotheses for medicinal chemistry and biology teams, proposing specific experiments (biophysical, structural, or computational) to test and de-risk emerging druggability hypotheses
  • Evaluate and integrate emerging methods (e.g., generative structure prediction, cryptic pocket detection, MD-based ensemble docking, AI-based binding site/ligandability prediction) into practical workflows
  • Present target tractability assessments to project teams, portfolio review committees, and leadership, communicating complex structural/computational rationale clearly to non-specialist audiences
  • Lead experimental structural biology efforts on active target enablement and drug discovery programs, managing work at external CROs, collaborating with our internal Structural Biology team, and/or directly performing hands-on experiments at our internal laboratory
  • Contribute to Schrödinger's broader platform strategy, feeding practical, target-tractability-driven requirements back into internal software and methods development

What you should have:
  • PhD (or equivalent industrial experience) in Structural Biology, Biophysics, Computational Chemistry, or a related discipline
  • Deep, hands-on expertise in structure-based drug design, including practical experience with cryptic/transient binding site identification and pocket druggability assessment
  • Working fluency in modern computational structural biology methods, such as AI-based structure prediction, MD-based conformational sampling, binding site/pocket detection algorithms, and structure refinement
  • Direct experience designing, executing, and interpreting cryo-EM and/or X-ray crystallography experiments, including strategies for capturing difficult, dynamic, or novel structural states


Pay and perks:

Schrödinger understands it's people that make a company great. Because of this, we're prepared to offer a competitive salary, stock options, and a wide range of benefits that include healthcare (with dental and vision), a 401k, pre-tax commuter benefits, a flexible work schedule, and a parental leave program. We have catered meals in the office, a company culture that is relaxed but engaged, and over a month of paid vacation time.

Estimated base salary range: $135,000 - $190,000. Actual compensation package is dependent on a number of factors, including, for example, experience, education, degrees held, market data, and business needs. If you have any questions regarding the compensation for this role, do not hesitate to reach out to a member of our Strategic Growth team.

Sound exciting? Apply today and join us!

About Schrodinger

Schrodinger is a leading provider of software solutions for the life sciences and materials science industries. The company was founded in 1990 and has grown to become a major player in the industry, with a focus on developing cutting-edge technologies that enable scientists to accelerate their research and development efforts. Schrodinger's products are used by a wide range of customers, including pharmaceutical companies, biotech firms, and academic research institutions. The company is committed to innovation and has developed a number of groundbreaking technologies, such as its FEP+ software, which is used to predict the binding affinity of small molecules to proteins. Schrodinger is also committed to sustainability and has implemented a number of initiatives to reduce its environmental impact, including the use of renewable energy sources and the promotion of recycling and waste reduction.
Learn more about Schrodinger
Size
664 employees
Market Cap
$1.3 billion
Industry
Net Income
-$24.4 million
Founded
1990
Revenue
$108 million
NASDAQ

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