POSITION SUMMARY: 

The Lead Data Scientist is a member of the Bioinformatics group.  Participates in the design and prototyping of cutting-edge algorithms for analysis of genetic data.  Perform data analysis, contributes to our intellectual property portfolio, and interacts closely with our molecular biology team to guide and analyze experiments.

PRIMARY RESPONSIBILITIES: 

• Independently lead the development and optimization efforts within the Oncology Bioinformatics group for design of high-throughput assays built on next generation sequencing platforms.
• Move products through the full development process, from research through commercial launch.
• Drive rigorous data analysis effort and support group efforts toward high quality documentation.
• Leverage accurate probability models to build the next round of algorithms and products.
• Help develop and guide molecular biology experiments.
• Contribute to our intellectual property portfolio.
   

QUALIFICATIONS: 

Requirements:

• Ph.D. in applied math, statistics, engineering, or equivalent.
• Minimum of five years of post-PhD industry experience.
• Minimum of five years of experience in data analysis using software such as Python, MATLAB or R. Could be replaced by extensive experience in a procedural language such as C++.
• Minimum 3 years of experience with next-generation sequencing technology and assay development.
• Foundation in probability theory and estimation/classification methods.
• Proven ability to apply mathematical principles to solve real estimation problems and implement practical solutions.
• Experience with a database query language such as SQL.
• Excellent communication skills and the desire to work in a dynamic and collaborative environment
• Employee must pass post offer criminal background check.

Desirable, but not required:

• Understanding of CLIA standards and FDA testing guidelines is a plus.

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