Dear Colleagues,
The Statistical Genetics and Machine Learning group at the Regeneron Genetics Center (RGC) is recruiting an outstanding researcher for a unique position at the interface between machine learning and human genetics.
The successful candidate will develop machine learning methods and solutions to a range of problems in statistical genetics, imaging genetics and analysis of electronic health records. This research will contribute to the analysis and interpretation of 100,000s of genotyped and sequenced humans, with the goal of generating the knowledge to help Regeneron to deliver better medicines to the patients who need them.
The role will be based in Tarrytown, NY, USA.
The Regeneron Genetics Center (RGC) is a large-scale, fully integrated genomics program that builds on Regeneron’s long-standing strength in genetics and related technologies. The RGC uses state-of-the-art automation and cloud-based informatics to sequence and analyze at a rate of >500,000 exomes per year. The RGC collaborates extensively with health care systems and partners to create unique large scale cohorts that combine genetic sequencing data, electronic health care records and medical imaging.
Kind Regards,
Jonathan Marchini
Head of Statistical Genetics & Machine Learning
Regeneron Genetics Center
777 Old Saw Mill River Road
Tarrytown, New York 10591
Twitter : @marchini