Healthcare Services & IT Sector
(GOOGLE SPIN OUT)
Client is a healthcare/life sciences startup and Google spin-out. The company lives at the intersection of technology, data science and healthcare with a mission to develop tools to collect and organize health data, then creating interventions and platforms that put insights derived from that health data to use for more holistic care management.
Retained to fill the key role of Data Science Technical Leader. The role of Data Science Technical Leader is to perform in dual functions as Technical Leader and hands-on data scientist/ individual contributor since client was seeking an individual who could participate in building the models and algorithms to advance the firms Health Platform while also growing, nurturing and scaling out the current greenfield Data Science team in Kendall Square.
For Data Science Technical Leader: the challenge was to find a top university PhD and/or MD with specific domain expertise in bio-sensor data, EHR and/or medical claims data as well as leadership experience, several years of experience as a data scientist and strong coding skills in R or Python.
Conducted initial candidate research across all relevant greater Boston area healthcare/life sciences/bioinformatics companies. Identified 64 candidates for initial outreach. From this group we identified and screened 17 people, 7 of whom were introduced to the client within 2-6 weeks of commencing the search. Of those, 5 were interviewed by phone and 2 were invited for onsite interviews. The remaining 3 candidates were put on hold as the client zeroed in on hiring one of the initial 2 interviewees, one of whom was subsequently made an offer and accepted within 10 weeks of starting the search. The hired candidate came from a local healthcare data company and represented the ideal fit with credentials including an undergraduate degree from Yale, graduate degree from Stanford, an MD from Georgetown and a PhD from Harvard.