Global Health Quantitative Researcher (Remote Eligible)
Overview Global Health Quantitative Researcher (Remote Eligible)
Mathematica applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world. We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding using data science and analytics. Our work yields actionable information to guide decisions in health, education, early childhood, nutrition, employment, disability, and international development. As an employee-owned firm, Mathematica offers competitive salaries and a comprehensive benefits package. Read more about our benefits here: https://www.mathematica.org/career-opportunities/benefits-at-a-glance.
Primary duties and responsibilities Mathematica Global seeks a highly motivated and skilled quantitatively oriented health researcher with expertise in global health and international development, with emphasis on sexual and reproductive health (SRH) and maternal, newborn, and child health and nutrition (MNCHN). The researcher will be part of a multidisciplinary global practice and collaborate with Mathematica Global\'s U.S.-based and international experts, as well as external partners including academic and research institutes, international consultants, and in-country partners. Our health portfolio includes evidence-informed strategy advising, performance monitoring, analytics and adaptive learning; rigorous evaluations of global, multi-country, and country initiatives; and full-service MERL partnerships with foundations, global multi-funder initiatives, and international NGOs.
The Researcher role will include designing and leading evaluations and research; reviewing and synthesizing evidence; conducting impact modeling and cost analyses; developing new approaches to using data and learning to inform decision-making; facilitating learning and dissemination sessions with external stakeholders; and serving as a trusted learning partner and advisor to clients and partners.
Ideal candidates will thrive in a collaborative, fast-paced, client-centered environment and have strong quantitative research and analytical skills, a passion for global health and international development, a commitment to using data and evidence to drive change, an interest in innovative research methods, and the ability to produce high-quality work under compressed timelines. We are looking for experience in the following areas:
Designing and leading MEL systems and rigorous mixed-methods evaluations in global health, particularly for family planning, SRH and MNCHN programs in LMICs.
Designing fit-for-purpose evaluations that maintain methodological rigor while adapting to real-world constraints.
Designing data collection strategies and instruments (surveys, facility assessments, interviews, focus groups), developing sampling approaches, and overseeing data quality in LMICs.
Applying quantitative methods to evaluate programs, track performance, and inform decisions, with sensitivity to partner capacities and health system constraints.
Developing and applying impact models and conducting cost analyses to inform strategic decisions and scale-up in global health programs.
Using HMIS, administrative health data, survey data (e.g., DHS, MICS), and other large datasets to inform strategy and policy decisions.
Conducting evidence reviews and synthesizing findings to inform decisions.
Experience leading multidisciplinary research teams, mentoring junior staff, and engaging with clients or partners to translate evidence into actionable guidance.
Facilitating meetings with diverse stakeholders, including government agencies, foundations, international organizations, and consultants.
Providing energy, organization, coordination, and quality control to keep projects on time and on budget.
Experience leading business development tasks such as technical proposal writing and budgeting.
Responsibilities may include Leading interdisciplinary, multi-location research teams to design and implement mixed-methods evaluations and learning efforts.
Leading quantitative components of international development projects, including evaluation design, sampling, data collection protocols, data collection oversight, and data quality assurance.
Conducting or overseeing rigorous statistical analyses (experimental/quasi-experimental evaluations and predictive modeling).
Applying analytic rigor to the interpretation of quantitative and/or qualitative data.
Serving as task lead for various project tasks, managing budgets and timelines, supervising junior staff and consultants, and acting as the primary technical point of contact for clients.
Translating research findings into actionable information and supporting clients in using it to inform program strategy or grantmaking.
Leading engagements with diverse clients and stakeholders to understand challenges, build trust, gather input, and provide high-quality work and recommendations.
Leading and contributing to business development, including writing proposals for new projects. Producing high-quality, client-ready reports and presentations, and representing Mathematica to policy and professional audiences.
Supporting dissemination of Mathematica\'s work through journals, gray literature, conferences, and other channels.
Leveraging AI-enabled approaches to strengthen monitoring, evaluation, research, and learning (MERL)—including literature synthesis, data extraction and cleaning, predictive analytics, qualitative coding, and drafting analytic summaries—and integrating these tools into adaptive learning and decision-making.
Contributing to the growth, expertise, and institutional knowledge of staff through mentorship.
Required qualifications PhD (or Master\'s degree with equivalent experience) in economics, health economics, public policy, public health, epidemiology, demography, or related fields.
Excellent quantitative analytical skills and a strong foundation in econometric and causal inference methods, with experience applying these methods to real-world questions.
At least 5 years of post-graduate degree experience conducting quantitative and mixed-methods research on international development topics in LMICs, including at least 3 years focused on global health topics (SRH, MNCHN, infectious disease, or health systems strengthening).
Experience working with health administrative data, large-scale household surveys, and/or facility-level data in LMIC contexts.
Experience in conducting or applying evidence synthesis methodologies and translating findings into strategic recommendations for clients.
Familiarity with advanced data analytics and visualization techniques to track performance using diverse data sources (preferred).
Strong written and verbal communication skills, with the ability to convey complex issues to non-expert audiences and to diverse stakeholders.
Demonstrated ability to lead complex tasks and coordinate multidisciplinary teams, with proactive problem-solving.
Cross-cultural communication and facilitation skills to engage with diverse stakeholders.
Experience building and maintaining relationships with government officials, subject matter experts, and consultants.
Strong organizational skills and attention to detail, with the ability to manage multiple priorities under deadlines. Experience managing or supporting research in LMIC settings is preferred.
Willingness and ability to travel internationally.
Strong teamwork and collaboration skills.
Fluency in at least one language besides English preferred, particularly French.
Application instructions A cover letter, CV, and writing sample must be submitted at the time of application via our online system. If desired, letters of recommendation may be submitted under "Additional Attachments".
Other job information This position offers an anticipated annual base salary of $100,000 – $135,000. This position may be eligible for a discretionary bonus based on individual and company performance.
This position is only available in the U.S.
Equal Opportunity Employer statement: Mathematica prohibits discrimination and provides equal opportunity for employment based on race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, disability, or any other protected class.
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