Research Scientist, Molecular Dynamics
About The Position
Your work will change lives. Including your own. The Impact You’ll Make Recursion is a leading TechBio company that is transforming drug discovery by using AI and automation to find new medicines. Its powerful platform combines different technologies to create one of the world's largest proprietary collections of biological and chemical data. By running millions of lab experiments each week and using one of the most powerful supercomputers in the world, Recursion brings together technology, biology, and chemistry to revolutionize medicine. We are looking for an experienced and motivated scientist to join our computational physics team, which is essential for designing molecules in our pipeline by supporting active drug discovery projects. This team also develops and implements cutting-edge methods to keep our platform at the forefront of computational sciences. In this role, you will: Lead the development and implementation of advanced computational physics methods into efficient and scalable workflows, to address challenging drug discovery problems and drive project success Collaborate with software engineers and drug designers in multidisciplinary teams to deliver scientific solutions to complex technical problems Keep up with the latest scientific developments, assess new technologies for their use in internal workflows, and devise plans for their implementation Communicate your work to both internal and external audiences to guide decisions and contribute to the scientific community The Team You’ll Join You will become an essential member of the Computational Physics team, which supports several phases of drug discovery, from initial hypothesis to lead optimization. The team's goal is to build highly accurate and automated atomistic models and pipelines to obtain crucial molecular-level insights for advancing drug candidates. We employ physics-based and physics-informed models, such as molecular dynamics simulations, absolute and relative binding free energy methods, metadynamics, MM/PBSA, and quantum-mechanical calculations, to enable cost-effective and scalable structure-based drug discovery. We work closely with design teams and collaborate with partners like the AI experts at the Frontier Hub, making our highly accurate methods more accessible and scalable for all. The Experience You’ll Need PhD in Chemistry, Physics, Computational Chemistry, Computational Physics, or a related subject area
Requirements
- PhD in Chemistry, Physics, Computational Chemistry, Computational Physics, or a related subject area
- Excellent programming skills in Python for tool development
- Proven track record in the development of molecular simulation or computational chemistry tools
- Basic knowledge of drug discovery processes and the application of molecular simulations in this field
- Experience in deploying and orchestrating large-scale jobs using compute clusters or cloud-based infrastructures
Responsibilities
- Lead the development and implementation of advanced computational physics methods into efficient and scalable workflows, to address challenging drug discovery problems and drive project success
- Collaborate with software engineers and drug designers in multidisciplinary teams to deliver scientific solutions to complex technical problems
- Keep up with the latest scientific developments, assess new technologies for their use in internal workflows, and devise plans for their implementation
- Communicate your work to both internal and external audiences to guide decisions and contribute to the scientific community
Benefits
- You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
Number of Employees
501-1,000 employees
