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Every Cure

Nonprofit repurposes drugs using open data

Impact Evidence & Engagement Lead

Medical ResearchConfirmed live in the last 24 hours
Full-timeCambridge, MA, USA

About the Job

Requirements

  • A bachelor's degree may be considered in combination with substantial directly relevant experience.
  • The candidate should have 1–2+ years of relevant experience with an advanced degree, or approximately 3–5 years of directly relevant experience without one.
  • Experience in public health, epidemiology, real-world evidence, outcomes research, impact measurement, population health, or a related field is required.
  • Hands-on experience with quantitative analysis, measurement, tracking, and/or data-driven program evaluation is required.
  • Experience working with medical, clinical, scientific, or technical teams is required.
  • Experience engaging external stakeholders, including clinicians, patient advocacy organizations, researchers, or patient communities, is required.
  • Experience developing written materials or translating scientific and quantitative findings for varied audiences is required.
  • Strong quantitative and analytical skills, including proficiency with SAS and/or similar statistical tools, are required.
  • A strong understanding of epidemiological concepts, measurement strategies, and study design is required.
  • The candidate must be able to establish baselines, identify meaningful metrics, and develop approaches for tracking impact over time.
  • The candidate must be able to critically assess a program, identify evidence gaps and potential barriers, and recommend next steps.
  • Strong written communication skills and the ability to produce polished, externally facing materials are required.
  • The candidate must be able to translate complex evidence for patients, clinicians, and other nontechnical audiences.
  • The candidate must be able to build relationships and engage stakeholders, and work effectively across Medical, Impact, and Tech teams.
  • The candidate must demonstrate patient-centered, evidence-driven judgment, organization, adaptability, and comfort operating in ambiguity.
  • The candidate must be comfortable using AI-enabled tools to improve efficiency and work product, applying sound judgment in their use.

Responsibilities

  • Partner with Medical, Tech, and Impact colleagues to define pair-specific and organization-wide measures of success, including baselines, leading and lagging indicators, endpoints, and appropriate real-world data sources.
  • Support end-to-end quantitative analysis using tools such as SAS and R, including data acquisition, cleaning, analysis, interpretation, and communication of findings related to impact measurement, patient populations, and evidence gaps.
  • Apply epidemiological and population-health thinking to prioritized programs, including disease burden, patient identification, diagnostic pathways, study design considerations, and real-world outcomes.
  • Work with clinicians, patient advocacy organizations, patient communities, and internal teams to understand where patients are, how they are diagnosed, and what barriers may prevent eligible patients from being identified or reached.
  • Bridge Impact, Medical, Clinical Development, and Tech teams by contributing an impact and measurement perspective while respecting partner teams’ scientific and technical ownership.
  • Build relationships with patients, clinicians, advocacy organizations, regulators, government health agencies, and other partners relevant to prioritized drug–disease programs.
  • Translate quantitative, epidemiological, and scientific findings into clear recommendations, externally facing materials, briefs, and other communications that are accurate, accessible, and appropriate for the audience.
  • Develop repeatable templates, dashboards, measurement plans, and other infrastructure to track and communicate impact as the portfolio grows.

Desired Qualifications

  • An advanced degree, ideally an MPH or MS in Epidemiology, Biostatistics, Population Health, Public Health, or a related field.
  • Coursework or training in epidemiology, statistics, data science, population health, or quantitative methods.
  • Real-world evidence, outcomes research, or impact measurement experience.
  • Experience working with claims, electronic health record, registry, or other real-world datasets.
  • Experience with patient identification, diagnostics, or barriers to diagnosis and care.
  • Experience engaging patients, patient advocacy organizations, clinicians, or key opinion leaders.
  • Experience in rare, neglected, or underserved diseases.
  • Exposure to the FDA, CDC, regulatory affairs, or federal health policy.
  • Proficiency in R in addition to SAS.
  • Experience developing impact dashboards, measurement frameworks, or tracking systems.
  • Experience in biotech, pharma, academia, or another health-focused research environment.
  • Experience using AI-enabled tools to support research, analysis, and written work.

About the Company

Every Cure

Nonprofit repurposes drugs using open data

Every Cure is a nonprofit focused on repurposing existing medicines to treat as many diseases as possible. It builds an open-source data engine that combines proprietary and public data to predict how well any of about 3,000 drugs could work for roughly 12,000 diseases. The platform ranks drug-disease pairs using AI and then moves the best matches toward validation, trials, and patient access. Unlike typical efforts, it aims to remove systemic barriers to drug repurposing by coordinating academia, industry, and government, sharing data openly, and rapidly advancing effective treatments. The company's goal is to unlock the full potential of existing medicines to save lives across diseases.

Company size
51-200
Company stage
Grant
Total funding
$48.3M
Headquarters
Philadelphia, PA
Founded
2022

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