Principal Scientist (Bioinformatics), Oncology Translational Research/Molecular Oncology

The Position

The Position

A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Roche.

Genentech seeks a talented and highly motivated Bioinformatics Scientist to pursue translational research projects in collaboration with our Molecular Oncology and Translational Medicine Departments.

The Opportunity

You will focus on deep exploration of high dimensional clinical trial datasets, with the goal of translating findings into actionable biological insights that can guide our understanding of drug activity in patient tumors, characterize mechanisms of primary and acquired drug resistance, and identify subsets of patients who may benefit from specific therapeutic interventions. Recently, exciting developments at Genentech and elsewhere have uncovered new avenues for interrupting the aberrant cell cycle pathways driving solid tumors.

• You should enjoy working with interdisciplinary teams, carrying out data analysis and integration across various domains (High-throughput Transcriptomic, Genomic, Proteomic, Epigenomic data), and applying best-in-class algorithms - or developing new algorithms - that directly address the motivating biological and clinical questions.

• You will be a part of a highly collaborative and dynamic research environment where we aim to translate our understanding of cancer biology to develop personalized therapies and diagnostics to transform clinical practice to benefit patient health.

• You will have access to state-of-the-art technologies and pioneering research.

• You will have access to clinical data sets and samples.

• You will be able to effectively present complex results in a clear and concise manner that is accessible to a diverse audience of quantitative, experimental, and clinical scientists.

Who you are

• You have a PhD in bioinformatics, biostatistics, computational biology or similar. Alternatively, you have a PhD in molecular biology, immunology, etc. combined with a very strong record of high-throughput data analysis, supported by publication in this area.

• You have postdoctoral experience in basic or translational research either in an academic or industry setting with a record of publication in lead positions.

• You are comfortable with the statistical principles behind current best practices in clinical and high-throughput molecular data analysis.

• You have experience with some of these types of high throughput molecular assays: next-generation sequencing (WES, RNAseq, ATACseq), flow cytometry, etc.

• You have strong experience in the use of a high-level programming language such as R or Python for complex data analysis.

• You have exceptionally strong communication, data presentation and visualization skills.

• You are comfortable working both independently and collaboratively and handling several concurrent, fast-paced projects.

• You have a record of publications/preprints as (co-)first author demonstrating analysis of large-scale data to investigate biological problems.

Preferred

• Experience with single-cell assays (e.g., single-cell RNA-seq, Multiome-seq, or CyTOF) is a significant plus.

• You are passionate about the relevant concepts in cancer biology and genetics. You are enthusiastic about learning more.

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Relocation benefits are available for this posting

The expected salary range for this position based on the primary location of California is $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

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.