Roche
Principal Scientist (Computational Chemistry)
South San Francisco · Principal
Sponsorship not specified$145k-$269kDetected 15 days ago
PythonMachine LearningPharmacologyResearchCommunicationCollaborationPublic Speaking
About the role
- We are seeking an exceptional computational chemist to apply cutting-edge computational science, with an emphasis on induced proximity small molecule discovery.
- The ideal candidate will possess expertise in computational chemistry, collaborating within project teams to discover and advance induced proximity small molecules into clinical candidates.
Responsibilities
- Advanced Modeling & Prediction: Lead the development and implementation of advanced computational methods, including molecular dynamics and affinity prediction, for ternary complex modeling, ligand discovery, validation and optimization.
- Collaborate with computational scientists across the Drug Discovery organization and in our AI For Drug Discovery group.
- Proven track record of induced proximity discovery or design projects.
- Deep knowledge of computational chemistry principles and general molecular modeling techniques (e.g., docking, molecular simulation and dynamics, quantum mechanics, ligand- and structure-based design).
Requirements
- 0-6 years of relevant post-Ph.D. experience in industry or a research organization.
- Experience with cloud computing platforms and/or high-performance computing (HPC) environments.
- Excellent communication and presentation skills, with the ability to convey complex technical concepts to diverse audiences.
- Ability to work productively and collaboratively in an interdisciplinary fast-paced team environment.
- Familiarity with computational software such as MOE, Schrodinger, OpenEye, and/or Rosetta.
- Experience in AI/ML applications in the induced proximity space.
- A strong track record of publication in leading scientific journals and presentations at major conferences.
Compensation
- The expected salary range for this position based on the primary location of South San Francisco, CA is $144,900 - 269,100.
- A discretionary annual bonus may be available based on individual and Company performance.
Benefits
- AI/ML for Drug Discovery: In collaboration with our internal AI for Drug Discovery team, apply advanced AI/ML technologies, including protein-ligand co-folding, generative and active learning models.
- Relocation benefits are available for this job posting.
- This position also qualifies for the benefits detailed at the link provided below.
Company info
- A healthier future.
- It's what drives us to innovate.
- To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come.
- Creating a world where we all have more time with the people we love.
- That's what makes us Genentech!
- The Opportunity
- This is a critical role aimed at accelerating our discovery pipeline, optimizing lead candidates, and applying state of the art computational methods.
Equal opportunity
- Genentech is an equal opportunity employer.
- The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
- equal opportunity employer.
- If you have a disability and need an accommodation in relation to the online
This listing is sourced directly from Roche's careers page and normalized into a canonical job model.