Senior Scientist, Structural and Computational Biology | Alabaster, AL

from research.

The group provides a dynamic and challenging environment for cutting-edge, multidisciplinary research including access to heterogeneous data sources, close links to top academic institutions around the world, as well as internal Genentech Research and Early Development (g RED) partners and research units.

Our mission is to develop and apply physics-based and machine-learning methods in designing novel macromolecules. Researchers in this role will develop, manage, and apply computational approaches for large molecule property prediction and de novo generative design. The Role: You will join Prescient Design within g RED. Your peers will be machine learning scientists

and structural/computational biologists working on different areas of the life sciences. You will manage collaborations between experimental biologists, computational colleagues, and bioinformaticians across departments in the organization.

You will support the planning and execution of a broad range of target portfolio projects You will develop structural/computational biology workflows and/or machine learning methods to analyze existing and design new, biomolecular structures You will be expected to form close working relationships with protein therapeutic development efforts across the g RED organization. You will be expected to contribute to and drive publications, and present results

at internal and external scientific conferences. Qualifications: Ph D degree in a quantitative field (e.

g. Computer Science, Computational Biology, Physics). Demonstrated experience with Python and analysis of protein structure and/or sequence data. Record of achievement, including at least one high-impact first-author publication or equivalent. Excellent communication and collaboration skills. Additional desired qualifications: Experience with structural modeling platforms such as those devised to model and design biological macromolecules (e. g. Rosetta; Open MM; Modeller). Previous experience with experimental design and execution of protein expression, purification, and biophysics Previous experience in antibody engineering Familiarity with deep learning frameworks for neural networks (e.

g. Py Torch; Tensor Flow-Keras). Public portfolio of computational projects (available on e. g. Git Hub). #g CS Who We Are Genentech, a member of the Roche Group and founder of the biotechnology industry, is dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases. To solve the world's most complex health challenges, we ask bigger questions that challenge our industry and the boundaries of science to transform society.

Our transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis. 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.

The expected salary range for this position based on the primary location of South San Francisco or New York City is $158,100 - 293,500 of hiring range. 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.

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, interactionual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status, and veteran status. 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, interactionual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.