Genomic Health is pioneering the application of genomics to clinical practice in order to dramatically improve the quality of treatment decisions for patients with cancer. Genomic Health is seeking an exceptional individual with strong statistical and computational skills who will collaborate with Biomedical Data Computing, Bioinformatics, Genomic Sciences, Process Engineering, Pathology, and Commercial Operations to develop and support a wide-ranging spectrum of products that advance Genomic Health as a leader in the world of oncogenomics and tumor molecular diagnostics. A strong candidate will have demonstrated ability to combine domain expertise, experience and collaboration with other functions to address unique and complex issues, with major impact on future concepts, products or technologies. She/he will have at least 12 years of relevant work experience, be able to achieve objectives in creative and effective ways, and be recognized as a leader in the field internally and externally.
RESPONSIBILITIES / DUTIES:
Directs, with input from others, activities within the Biostatistics organization. Serves as a strategic statistical/machine learning advisor/leader within the organization, addressing significant and/or unique challenges having major business impact. Lead on cross-functional project teams for major research initiatives, technology evaluation and product development programs.
Works on significant and unique issues. Exercises independent judgment in selecting and adapting methods appropriate for the specific objective. Monitors and continuously evaluates new methodologies and third-party technologies addressing analysis of large data sets applicable to GHI's products
Reputation as an emerging leader in the field with external influence and/or networks.
Utilizes professional concepts and principles to achieve objectives in creative and effective ways
Performs statistical activities in collaboration others across Genomic Health. Participates as the statistical expert on cross-functional teams, to ensure that planned studies and experiments are statistically rigorous and efficiently designed and analyzed. Areas of contributions include, but are not limited to:
oDevelopment of prognostic and/or predictive markers
oOptimization, validation, migration, and automation of analytical methods and diagnostic tests
oQuality monitoring and complex process improvement/troubleshooting
oSpecifications derivation for reagent and instrument qualification
Selects and applies appropriate machine learning methodologies to provide actionable results, to all project related studies, under general strategic guidance and in compliance with best practices
Develops strategies/plans to support research and development efforts, determining appropriate state of the art and standard statistical methods to utilize. Contributions include, but are not limited to protocol and analysis plan development, data analysis, and preparation of final study reports, abstracts, posters, and manuscripts, with minimal supervision.
May oversee and manage the activities of lower level personnel, but primary role is an individual contributor.
Normally requires a Ph.D. in Biostatistics/Statistics/Computer Science with a minimum of 12 years of relevant work experience in academia or industry, or an M.S. in Biostatistics/Statistics with a minimum of 15 years of relevant work experience
Sound knowledge of theoretical and applied statistics
Experience designing and analyzing validation studies for multi-index diagnostic tests
Proven expertise in applying descriptive and inferential statistics in Big Data problems
Competence in theory and application of standard machine learning or data mining algorithms
Experience with common scientific computing and machine learning toolkits, such as R, NumPy, SciPy, Torch, TensorFlow, etc. Mastery of at least two of them is highly desirable.
Outstanding 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, and oncologists
Demonstrated ability to interact with and influence internal and external collaborators on study design, analysis methods, and interpretation of study results
Able to prioritize and drive to results with a strong emphasis on quality
Able to integrate and apply feedback in a professional manner
Experience with IVD device development is desirable
Experience working in oncology is desirable
Genomic Health is seeking an exceptional individual with strong statistical and computational skills who will collaborate with Biomedical Data Computing, Bioinformatics, Genomic Sciences, Process Engineering, Pathology, and Commercial Operations to develop and support a wide-ranging spectrum of products that advance Genomic Health as a leader in the world of oncogenomics and tumor molecular diagnostics
Genomic Health, Inc.