Data Scientist - Process Control
Location: South San Francisco,California,United States
About us
Counsyl is a technology company that strives to give millions of men and women access to vital information about their bodies, helping them confidently make choices about their lives. The team consists of world class engineers, scientists and clinical experts as well as a renowned engineering and scientific advisory board. Counsyl integrates sophisticated technology with custom robotic automation in its accredited medical laboratory. This focus on technology has made Counsyl a leader in helping patients and doctors communicate about medical results in real time. Its products have won the Wall Street Journal’s Innovation Award for Medicine, and have been named one of Scientific American's "Top 10 World Changing Ideas."
Counsyl’s Family Prep Screen has already helped hundreds of thousands of people discover critical information before having children, and the Counsyl platform extends beyond family preparation to include inherited cancer screening. Counsyl has raised a total of $93M and is privately funded by Founders Fund, Felicis Ventures, Rosemont Seneca Technology Partners, Goldman Sachs, and Google executive David Drummond.
About you
MS or PhD in Industrial Engineering, Statistics, Computer Science, Mathematics, or a similarly quantitative field; or significant prior experience in related work.
You have a strong background in statistics and probability; experience with statistical modeling and machine learning is a plus.
You are experienced in a statistical programming environment like Python or R, and are familiar with both statistical computation and data visualization in your environment of choice (e.g., matplotlib, ggplot2, etc.). Experience with modern web development is a plus. Experience with only Excel (or other spreadsheet tools) is insufficient.
Industrial engineering or process control background is a plus.
What you’ll do
Build structured reports that can be automatically re-run to monitor critical laboratory parameters for process control and regulatory compliance.
Statistical modeling and process debugging to develop new assays and new technology in the lab.
Assist in data analysis, modeling, and reporting for scientific publications.
Cross-functional analysis: work with the business and sales development teams to optimize revenue using our large corpus of historical sales and insurance data. Coordinate between the laboratory and operations teams to optimize the cost-effectiveness of the business.