Job Description

We have an immediate opening for an experienced Statistical Learning Scientist to design and implement analyses of genetic data, especially in the area of companion diagnostic panel development – i.e. personalized medicine.  Our teams use R and Python to analyze data from clinical trials and other types of medical research in the search for new therapeutic targets and diagnostic biomarkers for response to therapy or prognosis of disease.

Experience in following and interpreting study and other guidance documentation to create statistical report content is desired as is experience developing infrastructure code to present and store statistical genetics data and results.  Experience in the analysis of genetic and genomic data using statistical methods is required.  Experience designing, coding, testing, documenting, and programming custom software is also desired.  Successful candidates will work independently with minimal supervision, have a preferred minimum of an M.Sc, with a PhD preferred, in computer science, statistics, epidemiology, biological sciences, or other quantitative field and at least one year of machine learning experience in a medical research organization.  Experience with Java and Javascript helpful but not required.

On-site work is required. This is a full time position. Background checks of selected candidates are required before employment begins.

How to Apply

To apply, please go to the following web page and fill out the online application.

Job Categories: Data Scientist / Statistician. Job Types: Full-Time. Job Tags: bioinformatics, Biotech, genetics, genomics, machine learning, and statistics. Salaries: More than $100,000.

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