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Surgo Health

AI-powered socio-behavioral analytics for healthcare

Research Fellow - LMIC Family Planning

Medical ResearchUpdated on Nov 13
Full-timeWashington, DC, USA$6k

About the Job

Requirements

  • Be a PhD candidate, postdoctoral researcher, or early-career researcher in a relevant field such as public health, demography, economics, biostatistics, epidemiology, or data science.
  • Have strong experience in quantitative analysis, survey data, and/or causal inference methods.
  • Demonstrate the ability to produce rigorous, publication-quality research.
  • Be comfortable working with large-scale, multi-country survey datasets.
  • Submit a CV or resume and contact information for two references.
  • Submit either a response of up to 1,000 words addressing the selected priority paper’s analytic challenge, methodological approach, and proposed framing and supporting evidence, or a concept note of up to 1,000 words outlining an original research question and its analytic approach.
  • Submit one prior peer-reviewed publication as first author or major contributing author, or a scientific writing sample if a publication is unavailable.

Responsibilities

  • Develop and lead a research paper within agreed priority areas, building on existing analyses and insights from the Gates Foundation-funded multi-country family planning studies or developing a new research question using available data and conducting additional analyses as needed.
  • Synthesize and translate existing findings and/or generate new analyses to deepen understanding of the mechanisms, risk factors, and protective factors shaping family planning behaviors and outcomes.
  • Use rigorous quantitative and/or causal inference methods appropriate to the research question, if applicable.
  • Draft and revise a manuscript for submission to a peer-reviewed journal, incorporating feedback from Surgo’s research team.
  • Collaborate with Surgo’s research scientists for methodological guidance and framing.
  • Deliver one submission-ready manuscript for a peer-reviewed journal and clean, documented analysis code and supporting analytic materials if appropriate.
  • Attend two weekly check-ins with Surgo project lead(s), and optionally join Surgo family planning analytics team meetings.
  • Present findings to senior leadership at two scheduled opportunities; additional meetings with the Senior Director of Data Science & AI are optional.

Desired Qualifications

  • Experience in family planning or reproductive health in low- and middle-income country contexts is strongly preferred.
  • Experience in behavioral science and program implementation context is a plus.
  • A prior peer-reviewed publication as first author or a major contributing author is strongly preferred.

About the Company

Surgo Health

AI-powered socio-behavioral analytics for healthcare

Surgo Health runs an AI-powered socio-behavioral analytics platform that helps healthcare organizations understand why people engage with care, using a cloud-based SaaS model for pharma, payers, and providers. Its Mosaic platform maps drivers of health behavior by combining behavioral, clinical, and social data; MosaicTrials improves clinical trial design, recruitment, and diversity; and Derin uses conversational AI to collect health-behavior insights at scale. It differentiates itself by explaining the underlying beliefs, biases, and trust behind patient actions beyond standard clinical data and SDOH, and operates as a public benefit corporation focused on equity. The company aims to advance health equity and improve health outcomes through data-driven, behaviorally informed insights.

Company size
51-200
Company stage
Seed
Total funding
$5M
Headquarters
Washington DC, United States
Founded
2022

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