Schrodinger

Scientific Machine Learning Engineer

Schrodinger • $130K — $160K *
Pharmaceuticals & Biotech
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or higher in Chemistry, Physics, Computer Science, or a related field
  • 1-3 years of production-level software development experience
  • Prior machine learning knowledge (e.g., Reinforcement Learning or Active Learning) for biological or chemical systems
  • Proficiency in Python programming and experience with ML frameworks like PyTorch
  • Familiarity with molecular dynamics simulation or cheminformatics is a plus

Responsibilities

  • Design and build scalable software for ML virtual screening pipelines
  • Integrate ML applications with physics-based backends for hit optimization
  • Collaborate with scientists to adapt existing workflows for new discovery cases
  • Develop new methodologies with current pipelines
  • Explore scientific literature to benchmark novel ML approaches

Benefits

  • Healthcare coverage including dental and vision
  • 401k plan with pre-tax commuter benefits
  • Flexible work schedule
  • Generous parental leave program
  • Over a month of paid vacation time
  • Engaging company culture with fun events
  • Recognition in best workplace lists
Full Job Description
We're seeking a Scientific Machine Learning (ML) Engineer to join us in our mission to transform the discovery of therapeutics and materials!
Our Hit Discovery team builds computational workflows that combine machine learning with chemical physics to efficiently evaluate billions of potential drug molecules. As a member of this group, you'll collaborate with research scientists on improving the accuracy and applicability of these methods and turn them into robust, scalable software products.

What you'll do:
  • Design, build, and test scalable software for ML virtual screening pipelines, integrating ML applications with physics-based backends (such as docking and free energy perturbation) to optimize hit and hit-to-lead campaigns
  • Work closely with scientists to adapt and expand our existing workflows for new discovery cases, as well as help develop new methodologies with our current pipelines
  • Explore scientific literature and benchmark novel ML approaches to improve the applicability and accuracy of core hit discovery workflows

What you should have:
  • Bachelor's degree or higher in Chemistry, Physics, Computer Science, or a related field
  • Between one and three years of production-level software development experience
  • Prior ML knowledge (i.e., Reinforcement Learning or Active Learning) for predicting measurable properties of biological and/or chemical systems
  • Python programming proficiency and experience with ML frameworks like PyTorch

We'd love to hire someone with:
  • Familiarity with one of the following areas: molecular dynamics simulation, free energy calculation methods, ligand-based drug design, cheminformatics, quantum mechanics, virtual screening, and/or structured modeling
  • Experience with development of relevant commercial and/or open-source computational chemistry software


Pay and perks:

Schrödinger understands it's people that make a company great. Because of this, we're prepared to offer a competitive salary, equity-based compensation, 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 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. Schrödinger is honored to have been included in Crain's New York Best Places to Work, BuiltIn's NYC Best Place to Work, and Newsweek's list of America's 100 Most Loved Workplaces.

Estimated base salary range: $130,000 - $160,000. 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.

Sound exciting? Apply today and join us!

About Schrodinger

Schrodinger is a leading provider of software solutions for the life sciences and materials science industries. The company was founded in 1990 and has grown to become a major player in the industry, with a focus on developing cutting-edge technologies that enable scientists to accelerate their research and development efforts. Schrodinger's products are used by a wide range of customers, including pharmaceutical companies, biotech firms, and academic research institutions. The company is committed to innovation and has developed a number of groundbreaking technologies, such as its FEP+ software, which is used to predict the binding affinity of small molecules to proteins. Schrodinger is also committed to sustainability and has implemented a number of initiatives to reduce its environmental impact, including the use of renewable energy sources and the promotion of recycling and waste reduction.
Learn more about Schrodinger
Size
664 employees
Market Cap
$1.3 billion
Industry
Net Income
-$24.4 million
Founded
1990
Revenue
$108 million
NASDAQ

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