In the BioAnalytical Sciences (BAS) Department at Genentech, we are a world-class bioanalytical center of excellence for novel strategies, technologies, and methods that enable the development of life-changing medicines. We do this by fostering an innovative and collaborative environment that values and recognizes diversity of contributions.
We seek a highly motivated and talented Scientist to play a crucial role in expanding Genentech’s immunogenicity risk assessment efforts. The candidate will closely collaborate with multidiscipline groups within Genentech Research and Development (gRED) organizations, machine learning/artificial intelligence) ML/AI (, and bioinformatics to develop novel models to predict and interrogate early immunogenicity biomarkers. In addition, the candidate will take a lead role to drive projects and execute innovative methods to identify the immunogenicity profile liability of biotherapeutics. This position is aimed to improve critical decision-making and advance drug development.
Develop new and improve existing processes and predictive models to identify the cause of immunogenicity risk of novel therapeutic agents
Apply novel computational research strategies to characterize antigen-specific immune responses
Mine databases and translate findings, using preclinical and clinical findings to anticipate the degree of an immunogenic response of new therapeutics and improve clinical outcome
Design and interpret experiments to identify and characterize mechanisms leading to T cell activation
Provide subject matter expertise and participate in regulatory filings, as needed
Participate and contribute to team meetings, publish in high-quality scientific, technical, or medical journals, and present at internal and external meetings.
PhD, MD or PhD/MD in Data Science, Immunology, or a related field or an equivalent credential is required with at least three years of relevant postgraduate experience either in an academic or industry setting
Strong bioinformatics programming skills using R/Bioconductor and/or Python
Experience in the assessment of antigen-specific immune responses of MHC class I or II immune reactive epitopes is strongly preferred
Experience with modern machine learning methods is desired
Experience in the pharmaceutical or biotechnology industry is an advantage.
Demonstrated record of scientific leadership as evidenced by first or senior author publications in high impact journals
Outstanding presentation and communication skills
Job Level:Individual contributor