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Scientist, Digital Pathology and Informatics

Company: Genentech
Location: South San Francisco
Posted on: May 3, 2021

Job Description:

The Research Pathology Department in Genentech Research and Early Development (gRED) is seeking a highly talented, independent and driven scientist to investigate the cellular phenotypes responsible for the progression of cancer. This individual will lead an independent research effort to define the cellular heterogeneity of cancer, investigate cell-to-cell communication that drives phenotypes responsible for disease progression, and identify therapeutic strategies that may counter cancer progression as well as biomarkers that can inform clinical decision making.

The work will cross biological disciplines but emphasize the use of advanced tissue technologies (including the full scope of multiplex detection strategies), computational analytical tools, informatics and data visualization. The successful candidate will work with highly collaborative teams generating a wide array of multi-parametric data including spatial proteomic and transcriptomic data derived from pre-clinical and clinical samples (e.g. tissues and biofluids).

Responsibilities

* Analyze clinical samples (e.g. tissues, blood) to identify cellular phenotypes and/or molecular signatures correlating to and/or responsible for tumor progression.

* Pursue experimental systems that model the disease progression of interest and enable the quantitative assessment of pathological phenotypes, therapeutic responses or markers of progression.

* Develop and deploy new methods in digital pathology.

* Collaborate with scientists and pathologists across the therapeutic areas to design experiments that identify the mechanism of action underlying disease progression and therapeutic strategies that counter the process.

* Develop and deploy quantitative analytic strategies including advanced image analysis, dimensional reduction, and classification using advanced computational tools such as machine & deep learning.

* Perform large scale informatics using high performance computing across high dimensional datasets derived through digital pathology methods.

* Mentor colleagues to enable their scientific potential

* Publish in high quality scientific journals and present externally through presentations at key internal and external meetings, advisory boards, and conferences

Qualifications

* Ph.D., M.D. or Ph.D/M.D. with relevant postdoctoral experience in tumor biology, molecular oncology or similar.

* Expertise in bioinformatics and quantitative analytics including image analysis, big data management, normalization and clustering methods, dimensional reduction methods, univariate and multivariate statistical analyses, as well as graphical presentation of large and complex data sets

* Strong publication record of impactful discoveries that reveal novel biological pathways and/or advanced technologies to enable biological discovery.

* Experience with performing wet lab experimentation involving experimental models of cancer progression and collecting multimodal readouts including phenotypic metrics (cellular appearance & behavior) and molecular metrics (e.g. RNA & protein).

* Experience in establishing new methods or technologies

* Experience working in a multidisciplinary setting where wetlab and drylab expertise are fully interoperable.

* Excellent interpersonal skills with demonstrated ability to work within a team comprised of diverse expertise

* Excellent mentoring skills across all levels

* Excellent oral and written presentation skills

About Research Pathology in Genentech Research and Early Development (gRED):

The Department of Pathology provides pathology expertise and tissue-based analysis to support basic scientific discoveries, development of drug targets, and biomarkers using both human tissues and animal models in support of drug development throughout the pipeline. Pathologists use their scientific and veterinary or medical backgrounds to integrate data from sources throughout the company into a coherent analysis of human disease and disease models. The pathologists' collaborative support of Genentech scientists includes histopathology interpretive expertise informed by traditional diagnostic categories as well as by detailed and expert understanding of molecular and cellular biology. These activities are enabled by the pathology core (P-core) labs that include necropsy, clinical pathology, histopathology, immunohistochemistry / in situ hybridization, a human tissue biorepository, advanced light microscopy, electron microscopy and digital pathology, and translational tissue technologies. The Department provides high quality pathology support to laboratory and clinical scientists engaged in biomarker strategy/development/deployment across the drug development pipeline. These activities can extend into "late stage" clinical development efforts (Phase III clinical trials).

#LI-GL1

#GenentechResearchPathology

#DigitalPathology

#bioinformatics

Keywords: Genentech, South San Francisco , Scientist, Digital Pathology and Informatics, Other , South San Francisco, California

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