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Director, Platform Science and Innovation

Job in New Haven, New Haven County, Connecticut, 06540, USA
Listing for: Revalia Bio, Inc.
Full Time position
Listed on 2026-02-28
Job specializations:
  • Science
    Research Scientist, Data Scientist
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Director, Platform Science and Innovation 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
  • Role model the Revalia Bio’s Company Values of world class collaboration, cultivating deep trust, relentless adaptability, and to persevere with uncommon grit.
  • Display high levels of personal integrity and be able to express opinions or concerns directly and without triangulation, demonstrating honesty, openness, and a positive outlook at all times.
  • Seek to promote collaboration and be curious (and not judgmental) about opposing opinions.
  • Ability to adapt to changing business needs or to personal development opportunities. Able to fully embrace feedback and training to continuously improve performance and relationships.
  • Display determination and perseverance to problem solve, create, innovate, and develop.
  • Demonstrate commitment to own personal growth and development. Be “all‑in” when participating in Company activities and programs related to personal and professional development and training.
  • Commitment to the growth and development of their team including participation in 360 reviews where requested.
Responsibilities Strategic Leadership & Vision
  • Define and lead Revalia’s overall non‑invasive biomarker and physiological modeling roadmap
    , with clear milestones tied to product and data strategy.
  • Partner with CDIO, Data Gen, Engineering, Product, and Data Science leadership to align research, hardware development, and modeling work into a coherent innovation plan.
  • Evaluate emerging technologies, academic trends, and clinical needs to guide Revalia’s long‑term biomarker and modeling strategy.
Biomarker Discovery & Innovation
  • Lead the invention, characterization, and validation of novel real‑time non‑invasive biomarkers derived from organ perfusion signals.
  • Establish scientific frameworks for discovering highly repeatable, translatable physiological indicators for organ function and health.
  • Oversee experimental design and validation studies supporting productization and regulatory pathways.
Physiological Modeling & PB/PK Integration
  • Architect and guide development of PB/PK and mechanistic physiological models tailored to high‑frequency perfusion system data.
  • Lead efforts to adapt classical PB/PK frameworks to dynamic, real‑time, non‑invasive measurements.
  • Champion hybrid modeling approaches combining mechanistic and machine learning components.
High‑Fidelity Data Extraction & System Integration
  • Oversee the strategy for high‑quality signal extraction
    , calibration, and harmonization from…
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