BioHealth Innovation is expanding its Entrepreneurs in Residence (EIR) network and is seeking experienced leaders at the intersection of biohealth and advanced technologies, including artificial intelligence and quantum computing.
This call is for seasoned operators with a strong commercialization background. Ideal candidates have taken innovations from concept through market entry, licensing, spinout, or acquisition, and understand the realities of regulatory pathways, customer discovery, fundraising, and scale. Experience working with startups, academic technologies, government labs, or early-stage venture-backed companies is essential. EIRs serve in a part time advisory role with BHI, working flexibly alongside other professional commitments while contributing hands on commercialization expertise.
We are particularly interested in EIRs who can translate AI and quantum capabilities into practical biohealth applications, including drug discovery, diagnostics, clinical research, manufacturing, data analytics, and health system innovation. The role requires comfort working across technical, business, and stakeholder environments.
EIRs work closely with entrepreneurs, researchers, and partners across the BioHealth Capital Region and nationally. Engagements may include advising project teams, supporting partner initiatives, guiding commercialization strategy, and mentoring founders navigating early growth decisions.
This is an opportunity to contribute deep expertise to high-potential biohealth innovations while remaining connected to a collaborative, mission-driven ecosystem.
Interested candidates should contact BHI Founder, President, and CEO, Rich Bendis at rbendis@biohealthinnovation.org, with a summary of their background, commercialization experience, and areas of technical focus.
IonQ Vice President and GM of Quantum Platform Matthew Keesan joins BioTalk for a clear look at how they are advancing quantum computing from its home base in the BioHealth Capital Region. He shares the story of IonQ’s Maryland roots and explains quantum computing in straightforward terms for listeners seeking a high-level understanding. The conversation moves into why biohealth leaders should track the hardware race, what distinguishes IonQ’s approach, and how quantum is already being paired with AI to strengthen modeling and analysis. Keesan walks through early use cases showing traction today, challenges common myths about timelines, and shares which biohealth applications he expects to gain mainstream momentum by 2030.