Clinical pattern recognition. Commercial execution. Peer-reviewed methodology.
SHAARPEC was built by people who already knew how to do the hard parts — a Harvard Medical School emergency physician who reads patient trajectories in real time, entrepreneurs with multi-billion dollar exit track records in digital health, and a research team whose trajectory modeling algorithms and methodology have been published in EP Europace, JMIR, npj Digital Medicine, and European Psychiatry.
Multi-exit digital health entrepreneur and Entrepreneur in Residence at the Mass General Brigham innovation team. Tom brings the commercial instincts of a founder who has built and exited companies in this space, combined with an inside view of how large health systems evaluate and adopt new technology. He leads company strategy, business development, and investor relations.
Emergency medicine physician and Assistant Professor at Harvard Medical School. Emergency medicine is the discipline most dependent on reading patient trajectory in real time — integrating clinical events to anticipate where a patient is heading before the picture is complete. That instinct is the foundation of SHAARPEC Foresight’s predictive architecture. Philip leads scientific strategy, client engagement, and platform design.
Digital health entrepreneur with a track record of building and scaling health technology companies across Europe and the US. Thomas co-founded SHAARPEC and led its early commercial engagements with AstraZeneca, Takeda, Bristol Myers Squibb, Novartis, and Novo Nordisk. He oversees operations and strategic partnerships, and is a co-author on SHAARPEC’s published research including the 2026 ADHD detection study in European Psychiatry.
Healthcare finance and M&A leader with deep private equity experience in life sciences. Sal understands how large organizations evaluate and commit to new technology — a perspective that shapes how SHAARPEC approaches commercial partnerships and investor relationships. He drives the company’s commercial growth strategy, investor engagement, and financial operations.
Interested in what trajectory modeling can do at scale? We’re hiring.
We’re looking for data scientists, clinical informaticists, and enterprise sales professionals who want to work at the intersection of trajectory modeling and pharma commercial intelligence.
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