
Revalia Bio is building the world's first integrated Human Data Stack™ to transform biomedical innovation. They aim to enable a new class of digitally enabled Phase 0 Human Trials by integrating…

Revalia Bio is building the world's first integrated Human Data Stack™ to transform biomedical innovation. They aim to enable a new class of digitally enabled Phase 0 Human Trials by integrating…
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About Revalia We're a moonshot company pushing the boundaries of biotech and drug discovery. Born out of Yale, we aim to radically rethink the traditional R&D model—and we’re backed by some of the most forward-thinking institutions out there.
We won the ARPA-H award (think DARPA for health), the same kind of program that gave rise to Siri, the Internet (ARPANET), and GPS.
Backing Our Mission $20M in VC funding
$30M in government contracts
We’re just getting started—and we’d love for you to be part of it.
About The Role Revalia is pioneering Human Data Trials — a new paradigm for accelerating translational medicine by linking donated human organs to cutting-edge research. Our platform provides biotech, pharma, and medtech innovators with unparalleled access to human biology at scale, reducing reliance on animal models and speeding the path to patients.
This leader will shape Revalia’s innovation agenda in biomarker discovery, mechanistic modeling, hardware-integrated sensing, and data extraction. They will ensure that the scientific, engineering, and modeling strategy aligns with Revalia’s product vision and long-term data platform. This role touches biomedical engineering, device innovation, software, pharma modeling, ML integration, and IP creation , making it one of the most cross-disciplinary leadership roles at the company.
The ideal candidate is a PhD-level scientist-engineer with deep industry experience across pharma, medical devices, and computational modeling—someone who can define strategy, lead teams, collaborate with executives, and also dive deep technically when needed.
Location This position requires candidates be able to travel to New Haven, CT on a weekly basis.
Culture Requirements
Responsibilities Strategic Leadership & Vision
Biomarker Discovery & Innovation
Physiological Modeling & PB/PK Integration
High-Fidelity Data Extraction & System Integration
Sensor & Hardware Innovation
ML Integration & Data Productization
IP, Scientific Influence, and External Strategy
Qualifications
Preferred
Compensation, Benefits, And Diversity Commitment Our compensation structure includes a base and semi-annual bonus. The range for this role is $160,000 - $200,000 annually. Revalia Bio operates a growth culture focused on High Performance Teams and individual personal development. Along with monthly coaching, we provide extensive opportunities for professional development, training and mentoring.
Revalia Bio provides comprehensive benefits including Health, Dental, Vision, Retirement, Disability, and a wellness program available on day one of employment. Full-time employees are eligible for up to 5 paid sick days and 23 PTO days per calendar year, excluding national holidays.
Revalia Bio acknowledges and celebrates the diversity of our workforce, is dedicated to creating an equitable workplace, is committed to fostering an inclusive environment, and aims to create a workplace culture where every individual feels a sense of belonging. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, gender, gender identity or expression, age, disability, or genetic makeup. For individuals with disabilities who would like to request an accommodation please email culture@revaliabio.com.
PhD in Biomedical Engineering, Electrical Engineering, Mechanical Engineering, Chemical Engineering, Bioengineering, Applied Physics, or related field.
10+ years of experience across pharma, medical devices, diagnostics, physiological modeling, or computational biology.
Demonstrated leadership in:
biomarker or sensor innovation
mechanistic physiological modeling (PB/PK strongly preferred)
developing data-driven digital technologies or devices
multidisciplinary team environments
Strong technical background in non-invasive sensing (imaging, spectroscopy, digital health), signal processing, instrumentation, or device R&D.
Experience building, validating, and interpreting models from experimental biological systems.
Hands-on coding experience in Python, MATLAB, R or similar scientific computing ecosystems.
Experience integrating models or algorithms into software systems or digital products.
Proven track record of patent development, published research, or developing novel methodologies.
Experience collaborating with software and ML teams; ability to define requirements for hybrid modeling systems. Proven track record of creating analytical solutions at scale.
Strong communication, scientific leadership, and cross-functional collaboration skills.