We are seeking a talented and highly motivated Principal Bioinformatics Scientist to join the OMNI Translational Medicine Department and lead our fibrosis analytics efforts. Our department provides translational science support to inform the clinical development of novel personalized therapeutics in disease areas of Ophthalmology, Metabolism, Neuroscience, Immunology and Infectious Diseases (OMNI). Our biomarker strategies are designed to study the molecular pathways driving the disease and to establish the mechanism of action of our therapeutics. We focus on prognostic, predictive and pharmacodynamic biomarkers to enable our vision of “the right drug for the right patient at the right dose”. The candidate will be responsible for defining the overall computational strategy within the disease area, and perform analyses of large-scale, high-dimensional datasets from clinical trials and cross-sectional studies.

Responsibilities 

• The successful candidate will join our cross functional team and support our activities in discovering and developing biomarkers relevant to the biology of pulmonary fibrosis and chronic kidney disease.
• This position will involve analysis of high-dimensional genomics data including, but not limited to: single cell RNA-seq, single cell ATAC-seq, bulk RNA-seq.
• The position requires working in collaboration with colleagues across Research, Translational Medicine, Development Sciences and Early Clinical Development.
• Effective communication is an essential skill for this role, which includes presentations at cross-functional teams, external conferences and communications with regulatory bodies.

Who You Are

• Candidates must have a PhD in Bioinformatics, Computational Biology or a related discipline, plus a post-doctoral fellowship or 3+ years of post-PhD experience.
• Previous experience in fibrotic disease is not necessary, but would be preferred.
• The candidate must be able to demonstrate a high level of independence, and be able to develop hypotheses and define analysis plans.
• A record of high impact scientific achievement, as evidenced by high impact publications and meeting abstracts.
• The candidate must have demonstrated expertise in a programming language for computational analyses (R or Python preferred).
• We are looking for an individual who thrives in a collaborative space, and is passionate about our mission to make impactful contributions to the drug development process.

Relocation benefits are available for this job posting. 

The expected salary range for this position based on the primary location of California is insert $146,800 – $272,600.  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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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.

Genentech requires all new hires to be fully vaccinated against COVID-19 as of their start date. This requirement is a condition of employment at Genentech, and it applies regardless of whether the position is located at a Genentech campus or is fully remote.  If you are unable to receive the vaccine due to a disability or serious medical condition, or because it is prohibited as a result of your sincerely held religious beliefs, you will have an opportunity to request a reasonable accommodation.