Research Manager

the company: with our concierge longevity practice to vet products and protocols, with our partnerships team to vet prospective collaborators, with our product R&D team to determine ingredients and formulations based on evidence, with our prescription longevity medicine team to select therapeutics, and with our biomarkers lab testing team to create optimized lab panels.

You'll work alongside our current research lead and set the evidence standard that critical decisions across the company calibrate to.

- Own the evidence bar for protocols, products, ingredients, and interventions across our businesses. Adopt, reject, or monitor each with a clear, defensible rationale. - Lead structured scientific reviews of new products, therapeutics, formulations, and protocols submitted by any team; provide written justification and risk assessment. - Partner with business development, operations, product, and clinical team members to prioritize research, balance company-wide demand, and finalize clinical sign-off. - Define and continuously raise the scientific standards of our actively developed AI research engine and calibrate the engine's scores against your reviews. - Stay current on longevity, metabolic health, pharma, women's health, nutrition science, diagnostics, and home-health literature; flag emerging evidence that should change our recommendations. - Mentor team members across our businesses on how to read evidence and communicate it in accessible language.

- PhD (or MD/PhD) in a relevant biomedical, clinical, or life sciences field. - 5+ years of experience evaluating clinical and pre-clinical evidence (academic, industry, or clinical research). - Demonstrated ability to make and defend adopt/reject decisions on therapeutics, supplements, ingredients, or medical devices. - Strong written communication - can produce concise, structured evidence reviews that non-scientists can act on. - Comfortable working at startup speed with high autonomy, direct exposure to founders, and demand from multiple teams simultaneously.

- Background in longevity, metabolic health, women's health, nutrition science, supplement or food formulation, diagnostics, or pharma R&D. - Familiarity with AI/LLM-assisted research tools and how to calibrate them against expert judgment. - Clinical practice exposure or close partnership with practicing physicians. - Experience operating as a horizontal scientific function supporting multiple business units. - Published peer-reviewed work in a relevant domain.