We are looking for a highly motivated, independent postdoctoral research fellow to advance fundamental research and technology innovation in the area of computational biophysics, e.g. molecular modeling and simulations of antibody therapeutics. The successful candidate will be passionate about and capable of developing cutting-edge computational methods and physics-based simulation techniques to broaden our mechanistic understanding of physio-chemical stability of complex molecular formats and protein drug products. The work will integrate basic and applied science to bridge the interface between computational modeling and a wide range of biophysical experimental techniques with the aim of identifying optimal paths for the development of complex large molecule drug products. The Postdoctoral Fellow will participate in a strong cross-functional collaboration within Pharmaceutical Technical Development (PTD) and Genentech Early Research and Development (gRED) departments. The candidate will also be expected to present and publish research findings to the internal and external scientific community.
- Recent Ph.D. graduate in computational biophysics, computational chemistry, chemical engineering, physics, materials science, bioinformatics, computational science, or a related discipline
- Strong understanding of the fundamentals of Molecular Dynamics simulations and statistical mechanics
- Experienced with at least one of the commonly used molecular modeling and simulation packages such as AMBER, GROMACS, NAMD, Rosetta, MOE, Schrodinger, Docking tool, and structural rendering software.
- Familiarity with high-performance scientific computing and at least one modern computer programming language such as Python, Bash scripting, or C.
- A proven track record of independently designing, executing, and analyzing in silico experiments including timely documentation.
- Effective verbal and written communication skills with a demonstrated ability to work within multi-disciplinary teams.