Scientific Data Analyst (Junior) – Public Health Analytics (Atlanta)
Nova Infotek, Atlanta, GA, United States
Scientific Data Analyst (Junior) – Public Health Analytics
Atlanta, GA (Hybrid – Onsite 2–3 days/week)
W2 Contract
We are seeking a
Junior Scientific Data Analyst
to support epidemiology and healthcare quality analytics initiatives under senior scientific guidance.
This role focuses on
structured scientific data work , reproducible analytics, and documentation used in public‑health surveillance and reporting workflows.
Role Overview
The Scientific Data Analyst will support investigators and senior analysts working with healthcare surveillance datasets. Responsibilities are execution‑focused and centered on data quality, repeatable analysis workflows, and documented analytical outputs.
The position requires
onsite presence in Atlanta
for secure dataset access and collaboration.
Key Responsibilities
Perform data cleaning, validation, and quality control on healthcare surveillance datasets
Develop and maintain well‑documented R and/or Python scripts for data preparation and analysis
Produce descriptive analyses, summary tables, and trend outputs under senior guidance
Maintain data dictionaries, change logs, and study documentation
Support preparation of tables and figures for internal scientific reviews and reporting
Assist with data preparation for modeling and structured analytics tasks as requested
Participate in program meetings and onsite working sessions
Required Qualifications
Master’s degree (Public Health, Epidemiology, Biostatistics, Health Informatics, Data Science, or related field)
1–3 years of relevant experience (academic research, internships, or professional experience acceptable)
Working knowledge of
R and/or Python
with emphasis on clean, reproducible code
Experience working with structured datasets and repeatable QC workflows
Strong documentation and organizational skills
Proficiency with Microsoft Office tools (Excel, Word, PowerPoint).
Preferred Experience
Exposure to public‑health surveillance or healthcare analytics
Basic SQL skills for data extraction and reconciliation
Experience supporting scientific or structured reporting workflows
Additional Details
Work Authorization:
USC, GC, CPT‑40, OPT, OPT‑EXT, H4‑EAD
Employment Type:
W2 only (no C2C / no 1099)
Compensation:
Competitive, based on experience and interview feedback
Duration:
Long‑term contract through December 2027, with potential extension based on program needs
Atlanta, GA (Hybrid – Onsite 2–3 days/week)
W2 Contract
We are seeking a
Junior Scientific Data Analyst
to support epidemiology and healthcare quality analytics initiatives under senior scientific guidance.
This role focuses on
structured scientific data work , reproducible analytics, and documentation used in public‑health surveillance and reporting workflows.
Role Overview
The Scientific Data Analyst will support investigators and senior analysts working with healthcare surveillance datasets. Responsibilities are execution‑focused and centered on data quality, repeatable analysis workflows, and documented analytical outputs.
The position requires
onsite presence in Atlanta
for secure dataset access and collaboration.
Key Responsibilities
Perform data cleaning, validation, and quality control on healthcare surveillance datasets
Develop and maintain well‑documented R and/or Python scripts for data preparation and analysis
Produce descriptive analyses, summary tables, and trend outputs under senior guidance
Maintain data dictionaries, change logs, and study documentation
Support preparation of tables and figures for internal scientific reviews and reporting
Assist with data preparation for modeling and structured analytics tasks as requested
Participate in program meetings and onsite working sessions
Required Qualifications
Master’s degree (Public Health, Epidemiology, Biostatistics, Health Informatics, Data Science, or related field)
1–3 years of relevant experience (academic research, internships, or professional experience acceptable)
Working knowledge of
R and/or Python
with emphasis on clean, reproducible code
Experience working with structured datasets and repeatable QC workflows
Strong documentation and organizational skills
Proficiency with Microsoft Office tools (Excel, Word, PowerPoint).
Preferred Experience
Exposure to public‑health surveillance or healthcare analytics
Basic SQL skills for data extraction and reconciliation
Experience supporting scientific or structured reporting workflows
Additional Details
Work Authorization:
USC, GC, CPT‑40, OPT, OPT‑EXT, H4‑EAD
Employment Type:
W2 only (no C2C / no 1099)
Compensation:
Competitive, based on experience and interview feedback
Duration:
Long‑term contract through December 2027, with potential extension based on program needs