The Position

We are looking for a highly motivated, independent postdoctoral research fellow to advance relative binding free energy predictions for complexed structures (starting with empirical X-ray or Cryo-EM structures). The successful candidate will be passionate and curious about developing cutting-edge computational methods, physics-based simulation techniques, and possibly machine learning methods to dramatically compress the precision and accuracy of currently available methods. The work will attempt to bridge computational modeling and a range of biological, biophysical and analytical experimental techniques with the aim of ensuring product quality 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 may need to also interface with structural or modeling experts in 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.

Requirements:

• Recent Ph.D. graduate in physics, chemistry, 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 tools, and structural rendering tools

• Familiarity with high-performance scientific computing and at least one modern computer programming language such as Python, Bash scripting, C/C++, or Cuda

• Experience with free energy calculation methods such as TI, FEP+ or MMGB(PB)SA is desirable

• Familiarity with enhanced sampling techniques such as REMD, Metadynamics, and/or GAMD is a plus

• 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

Relocation benefits are available for this job posting.

The expected salary range for this position based on the primary location of California is $57,400 and $106,600. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for the benefits detailed at the link provided below.

Benefits

Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.

Genentech requires all new hires to be fully vaccinated against COVID-19 as of their start date. This requirement is a condition of employment at Genentech, and it applies regardless of whether the position is located at a Genentech campus or is fully remote. If you are unable to receive the vaccine due to a disability or serious medical condition, or because it is prohibited as a result of your sincerely held religious beliefs, you will have an opportunity to request a reasonable accommodation.