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MetaQare IntelliHealth

Aerospace Medicine - Clinical AI Author

MetaQare IntelliHealth, New York, New York, United States

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Clinical AI Author – Aerospace Medicine

MetaQare Global Holdings Remote – United States Contract / Consultant / Independent Contributor

About the Role MetaQare is seeking experienced

Aerospace Medicine physicians

to join the

Authors of Clinical AI (ACAI)

Program — a prestigious international initiative that brings together top specialists to develop next-generation AI-powered clinical reasoning models. This is not a traditional employment position. It is a

scientific collaboration

designed for physicians who want to expand their impact beyond direct clinical practice and help shape the future of aviation and space medicine.

About MetaQare MetaQare is a global health technology company building the world’s first platform for

clinically authored medical intelligence . Our mission:

To make the clinical expertise of the world’s best physicians accessible to every patient and every environment — including aviation and space. Our clinical AI models are designed, validated, and ethically governed by real medical specialists.

About the ACAI Program The

Authors of Clinical AI (ACAI)

initiative engages the top 100 specialists in each country to codify their clinical reasoning into traceable, auditable AI models. For aerospace medicine, this includes modeling decision pathways for: ✦ Pilot fitness and medical certification ✦ In-flight medical emergencies ✦ Spatial disorientation & hypoxia evaluation ✦ High-G exposure and acceleration physiology ✦ Fatigue, circadian disruption & cognitive performance ✦ Environmental exposures (radiation, pressure, microgravity) ✦ Aeromedical risk assessment & return-to-flight decisions ✦ Spaceflight-associated medical conditions

Responsibilities Collaborate with MetaQare scientific and engineering teams to develop aerospace-specific clinical AI models. Review, refine, and validate anonymized aeromedical data aligned with FAA, DoD, and international standards. Participate in peer-review sessions with other ACAI Authors across aviation and space medicine. Contribute to diagnostic and operational decision-support algorithms for aviation and space environments. Ensure compliance with HIPAA, FAA medical guidelines, DoD aeromedical policies, and international aerospace medical ethics.

Requirements MD or DO

with board certification or fellowship training in Aerospace Medicine. FAA Aviation Medical Examiner (AME), military flight surgeon, or significant aviation medicine experience preferred. 5+ years of clinical practice in aerospace or high-performance operational environments. Experience with aeromedical decision-making, pilot evaluations, or operational risk assessments. Strong analytical and evidence-based reasoning skills. Interest in AI, clinical modeling, and digital health innovation. Eligible to practice or consult in the United States.

What MetaQare Offers Recognition as an Aerospace Medicine

Clinical AI Author

within a high-level global network. Collaboration with leading physicians from major medical and aerospace institutions. Royalties

based on clinical usage of your authored models. Global visibility via MetaQare.ai and the Global Medical Innovation Panel. The ability to influence the future of aviation, spaceflight, and operational medicine.

How to Apply Submit your

CV

and a short

statement of interest

outlining your aerospace medicine expertise and motivations for joining ACAI. Applications are reviewed continuously by the MetaQare Clinical Selection Committee. Apply directly through LinkedIn or learn more:

www.metaqare.ai/authors_of_clinical_ai.php

MetaQare Commitment MetaQare is an equal opportunity organization and embraces diversity in all forms. Participation complies with HIPAA, FAA confidentiality requirements, and global data protection standards.

Aerospace Medicine · Aviation Medicine · Flight Surgeon · Aviation Medical Examiner · Space Medicine · Aeromedical Certification · Aircrew Health · Operational Medicine · FAA Medical Standards · DoD Flight Medicine · High-Performance Physiology · Aerospace Physiology · Spaceflight Medicine · Clinical AI · Digital Health · Medical Innovation · Decision Support