The Position
The Computational Biophysics group within PTDU has an opening for a talented scientist to help shape the implementation and application of computational tools and algorithms to accelerate candidate selection and developability risk assessment. Our group uses computer modeling and simulations to study the dynamical behavior and properties of different protein modalities, with the ultimate aim of better understanding the developability risks, guiding candidate selection, and providing molecule re-engineering insights to improve stability. We work closely with different groups throughout Pharma Technical Development (PTD) and our Research organization. The successful candidate will participate in our vision toward further and smoother integration of in-silico develop-ability prediction tools within the organization, from helping with processing new modeling requests to developing new methods and tools to address the modeling needs for next generation biologic drugs.
Qualifications:
Bachelor’s Degree or higher in physics, chemistry, materials science, bioinformatics, computational science or a related discipline, with 3-4 years of experience after their Bachelor’s Degree
Proficiency in at least one modern computer programming language such as Python and bash scripting, and data visualization tools like matplotlib, seaborn
Strong familiarity with topics of protein and macromolecular structures and their physical and chemical stability properties
Knowledge of statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
A drive to learn and master new computational skills.
Familiarity with high-performance scientific computing and the Linux environment is a plus.
Experience with at least one of the commonly used molecular modeling and simulation packages such as MOE or Pymol is desired.
Effective verbal and written communication skills with a demonstrated ability to work within multi-disciplinary teams
Relocation benefits are not available for this job posting.
The expected salary range for this position based on the primary location of South San Francisco, CA is $97,400 to $192,800. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
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Who we are
A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.
Unless entitled to a reasonable accommodation under applicable law, employees are required to be fully vaccinated against COVID-19 in accordance with customer requirements, the company’s health and safety obligations and/or applicable law or guidelines.
Diversity and Inclusion (D&I) are critical to the success of our company and our impact on society. We believe that by championing diversity of background, thought and experience, we can foster a sense of belonging and provide an environment where every employee feels valued, included, and able to contribute their best for the patients we serve. We’re focused on attracting, retaining, developing and advancing our people to their full potential by rewarding bold ways of thinking and integrating inclusive behaviors into every aspect of our work.
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. For more information about equal employment opportunity, visit our Genentech Careers Homepage.
