We are seeking a talented Scientist to focus on antibody engineering in the Genentech Research and Development (gRED) Department of Antibody Engineering, where we discover and engineer life-changing antibody drugs through pioneering science and technology. The successful candidate will work with dynamic and highly motivated teams to drive the development of antibody therapeutics for unmet medical needs. The candidate will lead his/her own research lab and collaborate across all therapeutic areas at Genentech. This position requires effective participation in multidisciplinary teams with members from Genentech Discovery Research, Developmental Sciences, and Pharma Technical Development. Primary responsibilities will focus on two areas.
1) Serve as molecule or project team leader to direct therapeutic antibody lead selection, optimization, and engineering for internal antibody drug discovery programs and advance lead molecules into the clinic.
2) Develop new and cutting-edge antibody engineering technologies (e.g., novel formats or targeted delivery methods) to enable first-in-class and best-in class antibody therapeutics.
The individual should leverage skills in protein engineering, structural biology, biochemistry, or computational biology to design creative and innovative solutions to address challenges in various disease areas. Exceptionally strong leadership and communications skills are essential for the position as the individual is expected to lead an independent research group and collaborate across the organization to discover and advance next generation therapeutics.
- Ph.D. in a biological science plus post doc experience, including at least 4 years of recent protein engineering and/or antibody engineering in academia, biotechnology and/or pharma.
- Solid record of accomplishments and publications as evidence of scientific knowledge.
- Deep commitment to working as part of teams.
- Strong communication and leadership skills.
- Passion for problem solving via biochemistry, structural biology, protein engineering, or computational biology methods.