Senior Data Analyst – 2-Year Term-limited, Part-time

Emory University

Data Manager responsible for data harmonization and analysis for MNBI. Collaborating with country teams and ensuring data management protocols are followed.

Posted 7/10/2026part-timeDecatur • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data management and analysis, particularly in public health datasets, with proficiency in SAS or R. Strong collaboration skills are essential for working with multidisciplinary teams and supporting analytic plans and publications.

Highest-signal resume keywords

Data ManagementSAS ProficiencyRelational Database ManagementPublic Health Data AnalysisOrganizational Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical SupportData ArchitectureComplex Survey DesignMacros for Data Processing

Soft Skills

CollaborationOrganizational Skills

Tools & Technologies

SASROracleMicrosoft SQL ServerMySQL

Industry Keywords

Biomarker DataNutrition DataEpidemiologyBiostatisticsData Governance

Tech Stack

Tools & technologies

MS SQL ServerMySQLOracleSQL

About the role

Key responsibilities & impact

Coordinate harmonization of biomarker, nutrition, inflammation, and infection data across MNBI participating countries through the Data and Epidemiology Technical Working Group.
Provide statistical and analytic support to ensure methodological rigor, reproducibility, and consistency across MNBI analyses and outputs.
Establish and maintain secure data housing and file-sharing platforms, consistent with data governance and access policies.
Adapt and extend existing BRINDA data architecture (including data dictionaries, file structures, and analytic conventions) to MNBI datasets, including migration to a new data environment housed at the Task Force for Global Health.
Collaborate closely with MNBI Secretariat, country teams, and SAB members to support analytic plans, reporting, and publications.

Requirements

What you’ll need

A bachelor's degree in computer science or a related field, and three years of experience in processes and standards related to data, OR an equivalent combination of education, training, and experience.
Experience with relational database management systems such as, Oracle, Microsoft SQL Server, MySQL preferred.
Master’s degree in epidemiology, biostatistics, computer science, informatics, or related discipline is preferred.
Proficiency in SAS or R.
Experience managing and analyzing complex, multi-country public health datasets, macros to process and output readable tables and graphics.
Familiarity with biomarker, nutrition, or survey data, including complex survey design (experience with BRINDA or similar initiatives preferred).
Strong organizational skills and ability to work across multidisciplinary and international teams.

Benefits

Comp & perks

Flexible work arrangements
Professional development