Duties and Responsibilities:
-Design, execute, and document validation studies for predictive algorithms which leverage molecular, clinical, and imaging data inputs to generate novel insights.
-Standardize validation protocols
-Translate insights from model systems into predictors and classifiers of therapeutic response and prognosis in clinical cancer care.
-Collaborate with scientists and clinicians to design and perform analyses on clinical molecular data in order to improve quality of care.
-Work in interdisciplinary groups of scientists, engineers, and product developers to translate research into clinically actionable insights for our clients.
-Produce high quality and detailed documentation for all projects.
-Develop and implement rigorous testing and validation infrastructure to support the use of predictive algorithms in clinical care.
-Ph.D. in Cancer Biology, Molecular Biology or a related field
-Computational skills using Python and R.
-Understanding of CLIA/CAP validation protocols and how to bring scientific ideas to market
Ideal candidates will possess:
-Experience in cancer genetics, immunology, or molecular biology
-Experience working with next-generation sequencing data
-Self-driven and works well in interdisciplinary teams
-Experience with communicating insights and presenting concepts to a diverse audience
-Demonstrated programming ability
-Background in predictive or prognostic algorithm development
-Strong background in the development of statistical models
-Collaborative mindset, an eagerness to learn and a high integrity work ethic
Nice to have:
-Experience working with gene expression data
-Experience or familiarity with variant calling methods and/or interpretation
-Experience working with clinical cancer data (progression free vs overall survival, missing data etc)
-Experience with version control and software testing
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