Research Scientist, Data Science in Global Health Immunization (1-year contract)

Job Description

We are looking for an experienced researcher to lead the advanced analysis of a large survey on childhood routine immunization data in Pakistan as part of a project funded by the Gates Foundation. This is the right role for you if you are passionate about using advanced analytics and healthcare-related data to deliver impactful insights into children’s health. In this role, you will lead the analysis of a research project around caregiver’s intent, preferences, and barriers to vaccinate their children in urban Karachi, Pakistan. You will join a dynamic team, grow your ability to deploy innovative data science and AI techniques, and work in a fast-paced environment to generate actionable intelligence and support our clients on effective programs to improve child immunization and healthcare access.

• Lead data analytics strategies with LMIC immunization/global health domain expertise and oversee their execution
• Engage funders and with high-quality statistical analysis, valuable insights, and strong data visualizations, with strong immunization domain expertise
• Innovate with new methodologies, analytical technologies, and data sources including AI-based methods
• Foster organizational growth with mentoring and support your colleagues’ professional development

• 5+ years of experience with hands-on, end-to-end coding and analytical work with survey or health behavior data, ideally in the context of Lower- and Middle-Income Countries. PhD in a related field is a plus.
• Experience in vaccine hesitancy behavior in LMIC settings is highly desired.
• Strong ability to communicate analytics insights to senior stakeholders
• NGO- or private-sector experience in health behavior or health-related fields.
• Strong command of statistical concepts and skills (e.g. confounding, linear/logistic regression, uncertainty, survey statistics)
• Fluency in R and version control (Git) is required. Basic cloud computing knowledge (AWS) is a plus
• A passion for improving healthcare, health behaviors and patient outcomes through data science and behavior science
• Excellent ability to digest and evaluate evidence from interdisciplinary literature
• Enthusiasm for working in a fast-paced startup environment where you can make a significant impact
• Excellent communication skills in English, both written and verbal with ability to translate technical insights to actionable interpretations.

Location: Washington DC. Remote location will also be considered for strong candidates. The candidate will be expected to work flexible hours to partially overlap with the US (East Coast) and India teams. Surgo is based out of Washington, DC.

About the Organization

Surgo Health is a human-centric AI company that delivers the deepest understanding of human behavior to power better health for all.

A life-saving drug or treatment is of no use if people don’t take it. Surgo Health believes that a complete understanding of what drives people’s behavior – and how their context impacts them – is critical to ensure every person lives a healthy life. Our proprietary data and AI-technology platform produce fit-for-purpose intelligence, analytics, and recommendations that enable our partners to deliver more equitable, efficient, and cost-effective programs that improve health outcomes across the globe.

Our world-class team of healthcare experts and scientists use behavioral science, data science, and artificial intelligence to build innovative, scalable solutions that power patient-centric care and improve outcomes. We are a growing team with ambitious plans, and we're searching for top-class talent who want to roll up their sleeves and dive into a fast-paced, entrepreneurial environment.

As a DC-based start-up with a global footprint, this is a fantastic opportunity for someone who thrives in start-up culture and wants to help shape the future of healthcare delivery in low- and middle-income countries (this will be role specific). We believe our solutions can make healthcare more effective, personalized, equitable, and drive impact at scale.