Force Field Scientist
Schrödinger
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What scientist roles keep asking for: Python (49%), Machine learning (38%), SQL (23%), C++ (18%), Java (17%), Deep learning (14%), R (14%), LLMs (13%) — counted across their open postings here.
C++ jobs · Machine learning jobs · Python jobs
Schrödinger has 26 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for scientist roles keep coming back to Python, Machine learning, SQL, C++. Practise those questions before you sit with Schrödinger.
Questions you are likely to be asked
- Why do you want to join Schrödinger?
- What is your experience with C++? Tell me one thing you learned the hard way.
- Where do you want to be in three years?
- What is a weakness you are working on, and how?
- Tell me about yourself, and why this role is the right next step.
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Practise the Force Field Scientist at Schrödinger interview free →We’re seeking a Force Field Scientist to join us in our mission to improve human health and quality of life by transforming the discovery of therapeutics and materials!
Schrödinger has pioneered a physics-based software platform that enables discovery of high-quality, novel molecules for drug development and materials applications more rapidly and at lower cost compared to traditional methods. The software platform is used by biopharmaceutical and industrial companies, academic institutions, and government laboratories around the world. Our multidisciplinary drug discovery team also leverages the software platform to advance collaborative programs and its own pipeline of novel therapeutics to address unmet medical needs.
Who will love this job:
- A student of computational chemistry or biophysics who has developed models for small molecules and proteins
- A scientist who has applied molecular simulation and QM methods in model validation
- A force field developer who is passionate about building next-generation classical force fields enhanced by machine learning
What you’ll do:
- Facilitate computer-aided chemical discovery by expanding the accuracy and coverage of our best-in-class atomistic physics-based models
- Collaborate with cross-functional teams and Schrödinger’s agentic AI (Bunsen) to create next-generation tools for force field development
- Adopt best engineering practices to write clear, highly-organized, and maintainable code
What you should have:
- Master’s or PhD in Computational Chemistry, Biophysics, or a related field
- Peer-reviewed publications in relevant disciplines
- Intermediate-level knowledge of the Python programming language
We’d prefer to hire someone who has:
- C++ programming background
- Experience with force field parameterization and methods development
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Listed on greenhouse · posted 2026-06-30. ApplySarthi collects openings and links to application pages; the role is advertised by Schrödinger, not by us.