Bioinformatics , Senior Scientist- Genentech Computational Sciences | Alabaster, AL

The incumbent will apply advanced bioinformatics and data analysis skills in collaboration with a group of computational and biomarker scientists to execute on strategies for prognostic, predictive and pharmacodynamic biomarkers, and companion diagnostic tests for clinical development programs.

The incumbent will also apply these methods to characterize mechanisms of response and resistance to pipeline molecules, and inform novel research activities. For this particular position, we are seeking an innovative and productive Ph. D. -level scientist(preferably with at least two years of post-doctoral experience) with a consistent and outstanding record of creativity and performance in cellular

phenotyping (e. g. flow cytometry, mass cytometry (i. e Cy TOF), multiplex imaging, etc) and bioinformatics, evidenced by peer reviewed publications in top tier journals or patent applications.

The successful candidate is expected to effectively interact with cross functional teams; analyze data supporting innovative clinical development programs; author publications focused on biomarkers and translational research; interact with key collaborators and investigators; and promote collaborative efforts to advance biomarker sciences As a Senior Scientist, you are expected to: Lead the technical development and implementation of cytometry informatics pipelines to support biomarker discovery

and translation science across entire portfolio Lead evaluation of the theory and software implementations for published cytometry analytics and statistical methods Collaborate deeply with internal data management and software development to improve findability/usability of cytometry data in conjunction with other biomarker data Drive application of advanced analytic techniques to extract disease biology and mechanistic insights, and identify biological targets from next generation cellular phenotyping data especially next generation flow, but also mass cytometry, and single cell sequencing data Generate biological insights by the integrating complex cytometry data with clinical covariants Identify associations between clinical outcomes and phenotypic biomarkers Combine phenotyping data with large clinical biomarker datasets including NGS-based DNA and bulk RNA results for integrative analysis Effectively manage scientific collaborations, both internal and external Drive scientific and technical innovation collaboratively with other members of the department Support development and execution of exploratory biomarker and companion diagnostic strategies for multiple projects Support and drive publications in high quality scientific, technical or medical journals Represent the biomarker team externally through interactions with our key investigators Participate and thrive in an interactive, team oriented culture Who You Are Ph D degree in a relevant scientific field (e.

g. molecular biology, cancer biology, immunology, genomics, or bioinformatics) Prefer minimum of 2 years postdoctoral experience in basic or translational research either in an academic or industry setting Strong bioinformatics programming skills (e. g. using R or Python) and familiarity with the Unix operating system. Experience with Bioconductor is preferred.

Experience analyzing and interpreting high throughput cellular phenotyping data such as single cell sequencing, next generation flow, or mass cytometry data Experience with implementing unsupervised analysis pipelines to derive biological insights from high dimensional flow cytometry assays like Cy Tek and spectral flow. Experience in clinical drug development is beneficial, including understanding of critical development functions, e. g. biomarker development, operations, and biostatistics. Experience in human immunology, cancer immunotherapy, or translational research and ability to perform high quality functional assays.

Outstanding presentation and communication skills Relocation benefits are available for this job posting. The expected salary range for this position based on the primary location of California is insert $124,800 - $231,800. 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 #g CSGenentech is an equal opportunity employer, and we embrace the increasingly diverse world around us.

Genentech prohibits unlawful discrimination based on race, color, religion, gender, interactionual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.