Associate Principal Scientist supporting regulatory strategies for Vaccine & Infectious Disease products. Collaborating globally and assisting submissions for regulatory compliance in the pharmaceutical industry.
About the role
- Binding free energy specialist developing and optimizing methods to enhance drug discovery. Collaborating with teams to drive project decisions and improve existing workflows.
Responsibilities
- Own the binding free energy function
- Take responsibility for small molecule binding free energy calculations that feed directly into project decision making
- Define best practice protocols across programs, and evolve them as the platform improves
- Optimize and improve existing methods, not just run them
- Start from existing methods and code bases (for example FEP, TI, and related alchemical / free energy workflows) and improve them for both speed and accuracy
- Identify and implement tricks and approximations from the free energy literature that move us along the “fast and accurate enough” tradeoff curve
- Help determine where more physics is needed and where we can safely approximate
- Build tools, not just papers
- Design, implement, and maintain free energy workflows and utilities that other scientists at Genesis can actually use
- Contribute production quality code, tests, and documentation
- Work with ML researchers and platform engineers to plug your methods into GEMS, our internal platform for molecular generation, and as well as our internal benchmarking suites
- Partner with ML, CADD, and medicinal chemistry
- Collaborate with ML researchers to combine data driven models with physics based methods, especially at the high potency end where physics is “the only game in town”
- Work with CADD and medicinal chemists to interpret free energy results and refine design hypotheses
- Help teams reason about convergence, error bars, and when to trust (or not trust) free energy outputs in real drug programs
- Drive impact within the first 90 days
- Quickly get hands on with our existing free energy related workflows and code.
- Propose and execute concrete improvements that shorten turnaround time, improve ranking at the top of the potency range, or make the tools easier to use for project teams.
- Start to define a roadmap for free energy at Genesis, including platform wide improvements and project specific ideas.
Requirements
- Experience with drug discovery or platform methods development.
- Strong track record in binding free energy method development for small molecules (for example FEP, TI, alchemical methods, QM/MM free energies, related approaches).
- Evidence that you have built a method or tool that others actually use: open source contributions, internal platforms, or widely used workflows.
- PhD in computational chemistry, theoretical chemistry, biophysics, chemical physics, or a related field, or equivalent experience.
- Proficiency in Python is a requirement, while experience with a compiled language (C, C++, Fortran, or similar) is a plus.
- Experience with modern software development best practices, especially git and test driven development.
- Comfortable diving into existing code, understanding design choices, and making careful modifications rather than always starting from scratch.
- Experience integrating methods with MD engines and workflow tools (for example OpenMM, GROMACS, NAMD, OpenFE, or similar ecosystems).
Benefits
- We are proud to be an inclusive workplace and an Equal Opportunity Employer.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior Research & Innovation Assistant focused on sustainable solutions for polymers and textiles at Solvay. Collaborating with a diverse scientific community to enhance innovative practices.
Senior Research Scientist for circuit technology development at NVIDIA. Collaborating with elite researchers to advance high - performance, low - power circuit technologies.
Research Assistant supporting negotiation of physician managed care contracts and ensuring compliance standards. Managing processes for tracking insurance payor issues and coordination of meetings.
Senior Scientist, Statistical Genetics at Novo Nordisk Research Center China. Leveraging human genetic evidence to inform drug discovery and portfolio decisions in a collaborative research environment.
Research Assistant supporting sustainable agriculture research and outreach programs at University of Maine. Involves field, greenhouse, and laboratory management along with educational outreach efforts.
SI
Associate Principal Scientist responsible for developing and implementing regulatory CMC strategies at Organon. Leading the preparation and submission of CMC dossiers for product lifecycle milestones.
Research Assistant contributing to the Discovering Liveability project for suicide prevention. Focused on innovative research centering lived experiences of suicide over a fixed - term of 5 years.
Applied Scientist leading the development of generative AI for Adobe Creative Cloud. Focusing on graphics and vector - based design workflows with advanced machine learning techniques.
Senior Applied Scientist developing production - grade language generation systems with a focus on neurosymbolic AI at UnlikelyAI. Collaborating with a world - class team on innovative AI technologies.