Principal Scientific Researcher, Computational Biology (Personalized Therapies)

Employer
Genentech
Location
San Francisco, California, US
Salary
Competitive
Posted
Jul 16, 2021
Closes
Jul 24, 2021
Ref
2318563429
Discipline
Biology, Statistics
Employment Type
Full time
Salary Type
Salary
Principal Scientific Researcher, Computational Biology (Personalized Therapies)

We are seeking a highly motivated computational scientist to join Genentech's personalized therapies efforts. In this role you will work closely with Pharma Technical manufacturing colleagues, as well as Research discovery scientists to apply state of the art sequencing technologies and advanced bioinformatics techniques to characterize, monitor and develop quality metrics for our personalized cancer immunotherapy final products. The scientific and manufacturing process insights you discover will play a critical role in enabling a new manufacturing paradigm for Roche/Genentech that delivers individualized and life-changing immunotherapeutics to patients.

Applicants should have strong communication skills, a learning mindset, the ability to work in a fluid environment, and a strong desire to pursue creative solutions to challenging problems. External publication of both scientific and methodological innovations is strongly encouraged.

Genentech provides an exceptional research environment composed of internationally recognized leaders, state of the art core facilities with cutting edge technologies, and a drive for innovation. We foster a highly inclusive and collaborative community, and as such, you will interact closely with talented engineers and analysts, leading scientists, clinical development teams and others, all working together to deliver life saving therapies to patients.

Successful candidates will have many of the following attributes:

Exceptional Masters or PhD in bioinformatics, biostatistics, computational biology, software engineering, or a similar field

Deep understanding of computational approaches and available public tools for analyzing next generation sequencing data for genomics, long read, bulk and single-cell profiling applications

Expertise in programming languages such Python and R, experience using version control tools, familiarity with Linux and cloud based high-performance computing environments

Experience in working with teams including biologists, technologists, software engineers and computational scientists is a plus

Knowledge of genome engineering using CRISPR is a plus

Familiarity and interest in development of automated analysis workflows to transform raw sequencing data into interpretable processed results ready sharing with bench scientist collaborators

Excellent communication and data presentation skills, including the ability to explain complex scientific results to a diverse audience

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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 next step is yours. To apply today, click on the "Apply for this job" button.

Genentech is an equal opportunity employer & prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital & veteran status. For more information about equal employment opportunity, visit our Genentech Careers page .

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