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Principal Biostatistician

Apply Share Job ID 1007 Category Biostatistics / Data Management Job Location Redwood City, California Posted Date 08/18/2018

Overview:

POSITION SUMMARY:

Genomic Health is seeking an exceptional individual with strong statistical and computational skills to participate in the discovery, development, validation and post-marketing support of genomic biomarker assays that help cancer patients and their physicians make better treatment decisions. The individual will directly collaborate with internal and external thought leaders in the design, analysis, and reporting of product development and clinical studies in oncology. A strong candidate will have extensive experience analyzing, mining and developing visualizations for high dimensional data, preferably genomic data, a minimum of 8 years of relevant work experience in industry or academia, and significant experience designing and analyzing either clinical trials, observational studies or DOE studies.

RESPONSIBILITIES / DUTIES:
· Performs statistical activities in collaboration across Genomic Health. Support may include, but is not limited to clinical studies, algorithm development, quality monitoring, process improvement and automation. Activities include protocol and analysis plan development, data analysis, and preparation of final study reports, abstracts, posters, and manuscripts, with minimal supervision.
· May represent the statistics function on project teams for R&D programs, providing strategic input and contributing significantly to the design of studies.
· Works on extremely complex problems. Exercises independent judgment in selecting and adapting, as necessary, methods appropriate for the specific objective.
· A strategic leader within the organization, who uses professional concepts and principles to achieve objectives in creative and effective ways.
· Coordinates, with input from others, the activities within the Biostatistics organization on technical projects, including the development of prognostic and/or predictive markers.
· Interacts with external clinical and statistical collaborators.
· May provide guidance to and/or oversight of more junior personnel, but primary role is an individual contributor.
QUALIFICATIONS:

REQUIRED
· M.S. or Ph.D. in Biostatistics/Statistics or comparable demonstrated technical ability
· A minimum of 8 years (Ph.D.) or 11 years (M.S.) of relevant work experience in industry or academia
· Sound knowledge of theoretical and applied statistics
· Extensive experience analyzing high dimensional data, preferably genomic data
· Significant experience designing and analyzing time to event data from clinical trials or observational studies; and/or significant experience designing/performing DOE studies for analytical methods development and validation
· Strong statistical programming and analysis skills in SAS or R.
· Experience in publishing the results of clinical, epidemiologic or genomic studies.
· Excellent oral, written, and presentation skills.
· Professional manner with the ability to communicate effectively throughout all levels of the organization
· Able to work in a multi-disciplinary team including scientists, pathologists, oncologists, engineers and quality assurance personnel
· Demonstrated ability to interact with internal and external collaborators on study design, analysis methods, and interpretation of study results, in consultation with senior management and the program team
· Able to prioritize and drive to results with a strong emphasis on quality
· Able to integrate and apply feedback in a professional manner



DESIRED
· Experience working in oncology
· Familiarity with genomic assays and/or in vitro diagnostics, including algorithm development
· Experience developing/applying high performance computing and machine learning methodologies to problems involving structured and unstructured biological data
· Experience working in the regulated industry (FDA or EU)

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A strong candidate will have extensive experience analyzing, mining and developing visualizations for high dimensional data, preferably genomic data, a minimum of 8 years of relevant work experience in industry or academia, and significant experience designing and analyzing either clinical trials, observational studies or DOE studies.
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If you want to be part of a team that prides itself in teamwork and developing cutting-edge technology at Genomic Health, apply today!