Medical Research Consultant (Medical)

TL;DR

Medical Research Consultant (Medical): Developing a collaborative care model for chronic conditions by analyzing longitudinal health data with AI and leading clinical education within private communities with an accent on evidence-based communication and data-driven health insights. Focus on identifying health patterns in wearable data and publishing peer-reviewed observational studies.

Location: Remote (Global)

Company

Health-tech company with over 17 million users that helps people improve their health through data analysis.

What you will do

• Analyze longitudinal health datasets (HRV, activity, wellness journals) using AI assistants to identify patterns and generate hypotheses.
• Lead clinical education on Discord, helping community members interpret their data in a medical context without providing diagnoses.
• Produce and co-author peer-reviewed case series and observational cohort studies.
• Advise product and research teams on medical accuracy of AI-generated content and design of health metrics.
• Facilitate evidence-based community discussions, guiding conversations and correcting medical misconceptions with empathy.

Requirements

• Advanced degree (MD, PhD, or equivalent) in medicine, physiology, sports medicine, or rehabilitation.
• Demonstrated ability to write and publish papers in peer-reviewed journals.
• Strong written English proficiency.
• Interest in chronic conditions such as Long COVID, burnout, chronic stress, and dysautonomia.
• Willingness to use AI tools as part of everyday professional workflows.
• Solid understanding of statistics and biomarker analysis.

Nice to have

• Experience working with wearable data (HRV, accelerometry, sleep staging).
• Familiarity with ME/CFS, Long COVID, PEM, and POTS.
• Background in health data science, epidemiology, or biostatistics.
• Knowledge of Python, R, or SQL (assisted by AI).
• Experience in community health, patient education, or telehealth.

Culture & Benefits

• Fully remote work with flexible arrangements.
• Guaranteed co-authorship on publications when ICMJE criteria are met.
• Collaboration with a high-level medical advisory board of university professors and specialists.
• Ethics-driven environment that prioritizes user well-being over monetization and never sells user data.