Child Health and Mortality Prevention Surveillance (CHAMPS)
Epidemiologist – CHAMPS Network
Child Health and Mortality Prevention Surveillance (CHAMPS), Atlanta, Georgia, United States, 30383
We are seeking a motivated and skilled Epidemiologist
to join the CHAMPS network program. The role will focus on analyzing complex, multi-country datasets, including clinical, microbiology/molecular testing, demographic surveillance, and pregnancy surveillance data – to provide actionable insights for reducing child mortality.
Key Responsibilities
Lead and support CHAMPS Network-level epidemiologic analyses of CHAMPS datasets, including demographic, clinical, laboratory, and pregnancy data.
Maintain and enhance CHAMPS Network data quality by conducting regular audits and optimizing data processes.
Assemble and manage analytic datasets from multiple sources, ensuring harmonization across countries.
Conduct advanced statistical analyses using R and other tools, and prepare reproducible analytic pipelines.
Contribute to study design, protocol development, and methodological improvements for surveillance activities.
Write and co-author scientific manuscripts, technical reports, and policy briefs; present findings to national and international stakeholders.
Mentor and collaborate with junior epidemiologists, statisticians, and field teams across the CHAMPS Network.
Engage in cross-site collaborations within CHAMPS, contributing to comparative analyses across multiple countries.
Support CHAMPS Network data‑to‑action processes, ensuring findings inform public health interventions and policy decisions.
Expected international travel up to 4 × a year.
Minimum Qualifications
Master’s degree in Epidemiology, Biostatistics, or related field with
at least four years of post‑graduate epidemiology and data analysis experience , OR
Doctoral degree in Epidemiology, Biostatistics, or related field, OR
Equivalent combination of education, training, and professional experience.
Based in one of the CHAMPS sites: Bangladesh, Pakistan, Ethiopia, Kenya, Mozambique, Nigeria, Sierra Leone, or South Africa.
Required Abilities and Experience
Demonstrated analytic and problem‑solving skills.
Proficiency in
R
for data management and statistical analysis.
Experience assembling and cleaning analytic datasets from multiple sources.
Experience leading or supporting analyses of clinical, microbiology/molecular, demographic surveillance, or pregnancy surveillance data.
Experience working with managing and analyzing surveillance data.
Experience with epidemiologic methods and study design.
Demonstrated experience in scientific publication development and co‑authorship, including multiple first author papers.
Strong interpersonal skills with the ability to work effectively and collegially in multidisciplinary, multicultural teams.
Preferred Experience
Experience working with
multi‑country programs and datasets .
Experience with cause of death coding.
Proficiency in evaluating sample representativeness and applying appropriate statistical adjustments. Familiarity with
RMarkdown
and
GitHub
for reproducible workflows.
Working knowledge of
STATA .
Strong epidemiologic judgment and capacity to translate complex data into public health recommendations.
Contribute through deep analytic expertise and extensive field/programmatic experience. Commitment to advancing maternal, newborn, and child health outcomes in resource‑limited settings.
What We Offer
The opportunity to contribute to a
globally significant surveillance platform
tackling child mortality.
Professional development through technical collaborations across the CHAMPS Network.
A collaborative environment that values both
experienced epidemiologists
and
data‑analytic specialists .
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Research, Analyst, and Information Technology
Industries
Research Services
#J-18808-Ljbffr
to join the CHAMPS network program. The role will focus on analyzing complex, multi-country datasets, including clinical, microbiology/molecular testing, demographic surveillance, and pregnancy surveillance data – to provide actionable insights for reducing child mortality.
Key Responsibilities
Lead and support CHAMPS Network-level epidemiologic analyses of CHAMPS datasets, including demographic, clinical, laboratory, and pregnancy data.
Maintain and enhance CHAMPS Network data quality by conducting regular audits and optimizing data processes.
Assemble and manage analytic datasets from multiple sources, ensuring harmonization across countries.
Conduct advanced statistical analyses using R and other tools, and prepare reproducible analytic pipelines.
Contribute to study design, protocol development, and methodological improvements for surveillance activities.
Write and co-author scientific manuscripts, technical reports, and policy briefs; present findings to national and international stakeholders.
Mentor and collaborate with junior epidemiologists, statisticians, and field teams across the CHAMPS Network.
Engage in cross-site collaborations within CHAMPS, contributing to comparative analyses across multiple countries.
Support CHAMPS Network data‑to‑action processes, ensuring findings inform public health interventions and policy decisions.
Expected international travel up to 4 × a year.
Minimum Qualifications
Master’s degree in Epidemiology, Biostatistics, or related field with
at least four years of post‑graduate epidemiology and data analysis experience , OR
Doctoral degree in Epidemiology, Biostatistics, or related field, OR
Equivalent combination of education, training, and professional experience.
Based in one of the CHAMPS sites: Bangladesh, Pakistan, Ethiopia, Kenya, Mozambique, Nigeria, Sierra Leone, or South Africa.
Required Abilities and Experience
Demonstrated analytic and problem‑solving skills.
Proficiency in
R
for data management and statistical analysis.
Experience assembling and cleaning analytic datasets from multiple sources.
Experience leading or supporting analyses of clinical, microbiology/molecular, demographic surveillance, or pregnancy surveillance data.
Experience working with managing and analyzing surveillance data.
Experience with epidemiologic methods and study design.
Demonstrated experience in scientific publication development and co‑authorship, including multiple first author papers.
Strong interpersonal skills with the ability to work effectively and collegially in multidisciplinary, multicultural teams.
Preferred Experience
Experience working with
multi‑country programs and datasets .
Experience with cause of death coding.
Proficiency in evaluating sample representativeness and applying appropriate statistical adjustments. Familiarity with
RMarkdown
and
GitHub
for reproducible workflows.
Working knowledge of
STATA .
Strong epidemiologic judgment and capacity to translate complex data into public health recommendations.
Contribute through deep analytic expertise and extensive field/programmatic experience. Commitment to advancing maternal, newborn, and child health outcomes in resource‑limited settings.
What We Offer
The opportunity to contribute to a
globally significant surveillance platform
tackling child mortality.
Professional development through technical collaborations across the CHAMPS Network.
A collaborative environment that values both
experienced epidemiologists
and
data‑analytic specialists .
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Research, Analyst, and Information Technology
Industries
Research Services
#J-18808-Ljbffr