Technical Development Scientist - Computational Biophysics

Genentech • South San Francisco, CA

102d • $120,800 - $224,300

About The Position

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 Roche! As part of Pharma Technical Development (PTD) our organization is committed to deliver the Pharma ambitions by bringing game-changing therapies from clinical phase I into the market to serve every patient, every day. Our core business is to develop safe, innovative and effective drugs using cutting edge technologies for manufacturing process (Drug Substance and Drug Product), clinical supply, formulation, device, packaging, and analytical development. As an integrated partner within the drug development ecosystem, Global Biologics Pharmaceutical Development is dedicated to effectively developing innovative and patient-centered parenteral drug products including Formulation and Process Development, and Drug Delivery Systems. The Opportunity Are you passionate about Computational Biophysics of proteins and looking for a meaningful role? We seek a creative, highly motivated scientist with a background in computational biophysics to join the Pharmaceutical Development Department in US-Pharma Technology Development. The Scientist will focus on evaluating, developing and employing a variety of in silico methods and workflows to support the development of biologics. Our unique focus on physics-based simulations, specifically Molecular Dynamics, allows us to help develop and deliver better medicines by reducing problem spaces even in the absence of sizable datasets to learn from. Over the past several years, we have had great success establishing a highly scalable Molecular Dynamics platform, complete with dedicated supercomputing infrastructure. The ideal candidate will be passionate about and capable of developing cutting-edge computational methods and physics-based simulation techniques to broaden our mechanistic understanding of physico-chemical stability of complex molecular formats and protein drug products. For this position, the chosen individual would independently design, execute and analyze in silico experiments and then inform and collaborate with other scientists and engineers to determine paths forward for drug development.

Requirements

• Ph.D. in Computational Bioengineering, Biophysics, Computational Chemistry, Physics, Computer Science, Mathematics, or equivalent experience.
• Extensive in silico expertise with at least one widely used molecular modeling and Molecular dynamics simulation package (e.g., AMBER, GROMACS, NAMD, Rosetta).
• Familiarity with MOE, Schrodinger, docking tools, homology modeling, quantum mechanics, and structural rendering tools.
• Familiarity with high-performance scientific computing and proficiency in at least one modern programming language (e.g., Python, Bash scripting, C).
• Demonstrated ability to independently design, execute, and analyze in silico experiments.
• Effective verbal and written communication skills, with proven experience collaborating in multi-disciplinary teams.
• Ability to contribute insightful critical analysis beyond one's specific field of expertise within a scientifically diverse organization.

Nice To Haves

• Experience in biologics pharmaceutical development is a plus, but not required.

Responsibilities

• Evaluate, develop and employ a variety of in silico methods and workflows to support the development of biologics.
• Independently design, execute and analyze in silico experiments.
• Inform and collaborate with other scientists and engineers to determine paths forward for drug development.

Benefits

• Relocation benefits are available for this job posting.
• A discretionary annual bonus may be available based on individual and Company performance.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Chemical Manufacturing
• Education Level: Ph.D. or professional degree