Machine Learning Research Scientist

We're seeking a Machine Learning Research Scientist to join us in our mission to improve human health and quality of life by developing advanced computational methods to transform drug discovery and materials design.
As a member of our Machine Learning team, you'll focus on de novo molecular design and generative modeling with applications in the pharmaceutical and materials sciences.
While previous experience in drug discovery or materials science isn't required, candidates should have a background in generative modeling and/or reinforcement learning and a knack for developing ML systems.
Who will love this job:

• A scientist who can formulate, develop, and execute computational experiments to propose solutions backed by empirical data
• A developer who can leverage best-practices engineering to solve scientific problems in generative design
• A researcher who can run independent projects from proposal to prototype deployment
• A teammate who is excited to collaborate with scientists from a variety of domains to push medicinal and computational chemistry forward

What you'll do:

• Evaluate and benchmark potential generative methods from academia and industry to identify the most promising methods
• Develop lightweight prototypes and contribute features to existing ML tools in collaboration with other ML researchers and engineers
• Deploy prototypes to internal drug discovery teams and collect feedback to iterate on models
• Participate in code reviews with ML team members to promote best-practices development

What you should have:

• Hands-on experience with the Python data science stack (Numpy, Pandas, Scipy, etc.) and a deep learning framework (e.g., PyTorch)
• An interest in solving scientific problems in chemistry and biology via computational and data-driven methods
• A drive to cooperate with colleagues to identify problems and communicate technical solutions in an accessible manner
• BS, MS, or PhD in Computer Science, Applied Mathematics, ML/Stats, Physics, Chemistry, or a related field

We'd prefer to hire someone with:

• Familiarity with Git for distributed version control
• Exposure to best practices software engineering: CI/CD, testing, dependency management
• Ability to architect systems that span multiple machines
• De novo generative molecular design research history
• Independent interest in the sciences (a minor in a relevant discipline is a plus!)

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 every day, a company culture that is relaxed but engaged, and over a month of paid vacation time. Our Administrative and Human Resources departments also plan a myriad of fun company-wide events. New York is home to our largest office, but we have teams all over the world. Schrödinger is honored to have been selected as one of Crain's New York Best Places to Work for three years running.
Sound exciting? Apply today and join us!
As an equal opportunity employer, Schrödinger hires outstanding individuals into every position in the company. 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. We place the highest value on creating a safe environment where our employees can grow and contribute, and refuse 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 health decisions, gender identity or expression, sexual orientation, or any other protected characteristic. 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. For us, greater diversity doesn't mean better headlines or public images - it means increased adaptability and profitability.