Why this role stands out
Advance the cutting edge of drug discovery by developing next-generation physics-based models alongside a renowned team at Schrödinger. You'll thrive here if you're a computational chemist or biophysicist passionate about enhancing molecular simulation accuracy and building innovative force fields. This is an exceptional opportunity to make a significant impact on human health while growing your expertise in a leading scientific organization.
Quick overview
Job description
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
- A software or machine learning engineer with a rigorous scientific background and a deep understanding of statistical physics and physical chemistry
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:
- At least two years of software development experience
- Experience with force field parameterization and methods development
- C++ programming background
Similar jobs
- HL

Applied Researcher Auto Apply
Haize Labs · New York City / San Francisco · Hybrid 🇺🇸
$175k - $265k/yr - CO

E11 Bio - Scientist I/II - Advanced ImagingRecently posted Auto Apply
Convergentresearch · Alameda · On-site 🇺🇸
$99k - $170k/yr - SB

Senior Scientist, Cell Therapy Islet Auto Apply
Sana Biotechnology · Cambridge · Hybrid 🇺🇸
ComplianceProcess ImprovementSalary not listed - SB

Principal Scientist, Analytical Development Auto Apply
Sana Biotechnology · South San Francisco · Hybrid 🇺🇸
Microsoft OfficeData AnalysisSalary not listed - PU

Head of Analytical Development, Pulmovant Auto Apply
Pulmovant · Remote · Remote 🇺🇸
Due DiligenceOutreachSEMSalary not listed - OG
Field Application Scientist I (FISH) Auto Apply
OGT · Field Based · Hybrid 🇺🇸
Microsoft OfficeMicrosoft PowerPointTechnical SupportSalary not listed - TR
Postdoctoral Researcher, Human Aware Interaction Learning Auto Apply
Tri · Cambridge · Hybrid 🇺🇸
RoboticsMachine LearningHealthcareSalary not listed - HY
Senior AI Scientist Auto Apply
Hyperfine · Guilford · Hybrid 🇺🇸
Computer VisionDeep LearningPatient Care+4Salary not listed - HY
Senior AI Scientist Auto Apply
Hyperfine · Palo Alto · Hybrid 🇺🇸
Computer VisionDeep LearningPatient Care+4Salary not listed - GL

Food Scientist Auto Apply
GT'S Living Foods · Los Angeles · Hybrid 🇺🇸
SourcingComplianceFood Safety+2Salary not listed - TT
AI Research ScientistRecently posted Auto Apply
True Talent Solutions Partners · Remote · Remote 🇺🇸
PythonMachine LearningSalary not listed - TT
Research Scientist, Post-TrainingRecently posted Auto Apply
True Talent Solutions Partners · San Francisco · On-site 🇺🇸
LLMSalary not listed
