Scientific Machine Learning Engineer
Schrödinger12 hours ago
Base Salary
$130k - $160k/yr
Responsibilities
- Design, build, and test scalable software for machine learning virtual screening pipelines.
- Integrate machine learning applications with physics-based backends, including docking and free energy perturbation.
- Collaborate with scientists to adapt existing workflows for new discovery cases and develop new methodologies.
- Explore scientific literature and benchmark novel machine learning approaches to improve the accuracy and applicability of hit discovery workflows.
- Contribute to automated testing, code reviews, and software engineering best practices.
Requirements
- Bachelor's degree or higher in chemistry, physics, computer science, or a related field.
- One to three years of production-level software development experience.
- Machine learning knowledge, such as reinforcement learning or active learning, for predicting properties of biological or chemical systems.
- Proficiency in Python and experience with machine learning frameworks such as PyTorch.
- Familiarity with molecular dynamics simulation, free energy calculation methods, ligand-based drug design, cheminformatics, quantum mechanics, virtual screening, or structured modeling is preferred.
- Experience developing relevant commercial or open-source computational chemistry software is preferred.
Benefits
- Competitive base salary and equity-based compensation.
- Healthcare benefits including dental and vision coverage, a 401k, pre-tax commuter benefits, parental leave, and over a month of paid vacation.
- Flexible work schedule and a relaxed, engaged company culture with company-wide events.
- Teams are located worldwide, with New York as the company's largest office.
Categories
About Schrödinger
Schrödinger builds molecular modeling and simulation software and a cloud-based platform used by biopharma, materials companies, and academic and government labs to design therapeutics and materials. It sells software licenses and enterprise deployments and also advances wholly owned and collaborative drug discovery programs. Founded in 1990, the company is headquartered in New York and is publicly traded on NASDAQ under the ticker SDGR.