Schrödinger, Inc.

Machine Learning Force Field Scientist

New York

Sponsorship not specified$120k-$175kDetected 22 days ago

PythonMachine LearningPyTorchscikit-learnPandasNumPyResearchAdaptability

About the role

We have regular catered meals in the office, a company culture that is relaxed but engaged, and over a month of paid vacation time.
Our Office Management team also plans a myriad of fun company-wide events.
New York is home to our largest office, but we have teams all over the world.

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

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
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
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.
People who work with us have a high degree of engagement, a commitment to working effectively in teams, and a passion for the company's mission.

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.
Apply today and join us!
People who work with us have a high degree of engagement, a commitment to working effectively in teams, and a passion for the company's mission.
To us, "diversity" isn't just a buzzword, but an important element of our core principles and key business practices.
We believe that diverse companies innovate better and think more creatively than homogenous ones because they take into account a wide range of viewpoints.

Pay and perks:
Actual compensation package is dependent on a number of factors, including, for example, experience, education, degrees held, market data, and business needs.
We're seeking a Machine Learning (ML) Scientist to join us in our mission to transform the discovery of therapeutics and materials.
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.

The software platform is used by biopharmaceutical and industrial companies, academic institutions, and government laboratories around the world.

As an equal opportunity employer, Schrödinger hires outstanding individuals into every position in the company.

efuse to discriminate on the basis of race, color, religious belief, sex, age, disability, national origin, alienage or citizenship status, marital status, partnership status, caregiver status, sexual and reproductive he

This listing is sourced directly from Schrödinger, Inc.'s careers page and normalized into a canonical job model.