We’re seeking a Machine Learning (ML) Scientist to join us in our mission to transform 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.
As a member of our Machine Learning team, you’ll develop state-of-the-art ML force fields targeting impactful applications in Life and Materials sciences.
Who will love this job:
- An ML force fields expert who has developed, validated, and applied ML force fields to simulate complex condensed-phase systems, such as solid-liquid interfaces, reactive events in the condensed phase, or solvated biomolecules.
- An innovator who’s driven to leverage technical knowledge to make a tangible impact
- A scientist with deep knowledge of both finite system and periodic DFT, as well as other electronic structure methods, and who understands the limitations and appropriate applications of these methods
- A proficient Python programmer with prior knowledge of ML toolkits such as PyTorch, Scikit-Learn, NumPy, SciPy, and Pandas
- An independent researcher who enjoys collaborating with an interdisciplinary team in a fast-paced environment
What you’ll do:
- Build and manage large data sets generated using quantum chemical methods at scale to develop predictive ML force fields
- Develop software that trains and applies ML force fields to challenging problems in life and materials sciences
- Extend the accuracy, capability and generalization of current ML force fields
- Communicate results and present ideas to the team
What you should have:
- A PhD (or extensive experience) in Chemistry, Materials Science, Engineering, Computer Science, or Physics
- A proven track record of scientific contribution and independent research
- Prior experience with development of ML force fields and/or electronic structure methods
Skills Required
- PhD (or extensive experience) in Chemistry, Materials Science, Engineering, Computer Science, or Physics
- Proven track record of scientific contribution and independent research
- Prior experience with development of ML force fields and/or electronic structure methods
- Deep knowledge of finite system and periodic Density Functional Theory (DFT) and other electronic structure methods
- Proficient Python programming and experience with ML toolkits (PyTorch, Scikit-Learn) and scientific libraries (NumPy, SciPy, Pandas)
- Experience simulating complex condensed-phase systems (e.g., solid-liquid interfaces, reactive condensed-phase events, solvated biomolecules)
Schrödinger, Inc. Compensation & Benefits Highlights
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Leave & Time Off Breadth — PTO includes over a month of paid vacation alongside two annual company shutdown weeks, pointing to above‑average downtime. An additional mid‑year rest period such as an August “Project R&R” week is also referenced.
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Healthcare Strength — Core coverage spans medical, dental, vision, mental‑health benefits, an EAP, and FSAs. Descriptions emphasize comprehensive health support alongside wellness‑oriented elements.
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Parental & Family Support — Offerings include paid parental leave, subsidized backup care for children, elders, and pets, and optional pet insurance. Family‑friendly supports such as a return‑to‑work program and an onsite Mother’s Room are highlighted.
Schrödinger, Inc. Insights
What We Do
Schrödinger is a leading provider of advanced molecular simulations and enterprise software solutions and services for pharmaceutical, biotechnology, and materials science research. The predictive power of Schrödinger's software allows scientists to accelerate their research and development, reduce research costs, and make novel discoveries.
Why Work With Us
We have a mission-driven culture that thrives off team collaboration. By utilizing a non-hierarchal approach, we hope to give all employees a voice and room to grow to their fullest potential. We actively engage in diversity and inclusion efforts, pay fairly, and always strive to provide a supportive atmosphere for our teams.
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Schrödinger, Inc. Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
