Research Manager

Blueprint

$95K — $165K *
US-AnywhereRemote in United States
Pharmaceuticals & Biotech
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • PhD (or MD/PhD) in relevant biomedical, clinical, or life sciences field.
  • 5+ years of experience evaluating clinical and pre-clinical evidence.
  • Proven ability to make and defend adopt/reject decisions on therapeutics and medical devices.
  • Strong written communication skills for producing structured evidence reviews.
  • Ability to work autonomously in a fast-paced startup environment.

Responsibilities

  • Own the evidence bar for protocols and products, making defensible decisions.
  • Lead structured reviews of new products and therapeutics with written justifications.
  • Partner with teams across the company to prioritize and finalize clinical research.
  • Define and elevate scientific standards within the AI research engine.
  • Stay updated on the latest literature in longevity and related fields.
  • Mentor team members in interpreting and communicating scientific evidence.

Benefits

  • Equity opportunities.
  • Comprehensive health benefits.
  • Access to cutting-edge research tools and resources.
  • Collaborative work environment with exposure to founders.
Full Job Description
The Research Manager owns the scientific evidence bar across Blueprint. This person decides what gets adopted, rejected, or monitored across protocols, products, supplements, devices, therapeutics, and ingredients - and defends those decisions with rigorous, structured reviews.

You will work across 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.

Requirements

Position Responsibilities:
  • 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.


Basic Qualifications:
  • 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.


Preferred Skills:
  • 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.

Benefits

Salary Range: $95-165k + equity + benefits

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