Computational Associate I - Diabetes Research Group
By Broad Institute of MIT and Harvard At Cambridge, MA, United States
Excellent communication, organization, and time management skills
B.A.in bioinformatics, biology, statistics, data science, machine learning, computer science, or a related field, or equivalent practical experience
General knowledge of statistical methods for genomic data analysis
Experience with cloud-based computational environments desirable
Work closely with experts in performing genetic analyses and analyzing electronic health records.
The candidate must apply proficiency with analysis software, diagnose and resolve user issues, and provide scientific/technical support.