Director, Platform Science and Innovation
Revalia Bio, Inc., New Haven, Connecticut, us, 06540
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 organ perfusion systems.
Define technical standards for data quality, acquisition protocols, and feature engineering.
Ensure tight integration between hardware, data gen, data engineering, and modeling pipelines to maximize signal interpretability and value.
Sensor & Hardware Innovation
Guide development of
new non‑invasive sensor technologies , partnering with hardware engineering to define requirements and evaluate performance.
Lead cross‑functional investigations into sensor physics, instrumentation, and data acquisition for novel biomarker detection.
Influence hardware architecture based on modeling and data insights.
Collaborate with AI/ML teams to design
hybrid mechanistic–ML modeling frameworks
and ensure physiological model outputs are ML‑ready.
Define scientific and technical standards for integrating physiological models into RIO products.
Set evaluation criteria, truth definitions, and data requirements for ML pipeline development.
IP, Scientific Influence, and External Strategy
Drive creation of
patentable technologies
spanning sensors, biomarkers, modeling, and signal extraction.
Shape Revalia’s scientific presence through white papers, publications, and SAB engagement.
Build and maintain relationships with academic collaborators, industry partners, and key scientific advisors.
Qualifications
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)
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.
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.
Preferred
Experience in early‑stage startups or leading innovation programs.
Experience with real‑time or streaming physiological data systems.
Familiarity with regulatory considerations for devices, diagnostics, or computational models.
Familiarity with AI/ML workflows, MLOps, or ML feature engineering.
Demonstrated success transitioning research into productized capabilities or clinical/engineering decision tools.
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.
#J-18808-Ljbffr
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 organ perfusion systems.
Define technical standards for data quality, acquisition protocols, and feature engineering.
Ensure tight integration between hardware, data gen, data engineering, and modeling pipelines to maximize signal interpretability and value.
Sensor & Hardware Innovation
Guide development of
new non‑invasive sensor technologies , partnering with hardware engineering to define requirements and evaluate performance.
Lead cross‑functional investigations into sensor physics, instrumentation, and data acquisition for novel biomarker detection.
Influence hardware architecture based on modeling and data insights.
Collaborate with AI/ML teams to design
hybrid mechanistic–ML modeling frameworks
and ensure physiological model outputs are ML‑ready.
Define scientific and technical standards for integrating physiological models into RIO products.
Set evaluation criteria, truth definitions, and data requirements for ML pipeline development.
IP, Scientific Influence, and External Strategy
Drive creation of
patentable technologies
spanning sensors, biomarkers, modeling, and signal extraction.
Shape Revalia’s scientific presence through white papers, publications, and SAB engagement.
Build and maintain relationships with academic collaborators, industry partners, and key scientific advisors.
Qualifications
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)
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.
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.
Preferred
Experience in early‑stage startups or leading innovation programs.
Experience with real‑time or streaming physiological data systems.
Familiarity with regulatory considerations for devices, diagnostics, or computational models.
Familiarity with AI/ML workflows, MLOps, or ML feature engineering.
Demonstrated success transitioning research into productized capabilities or clinical/engineering decision tools.
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.
#J-18808-Ljbffr