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Public Health 🏢 Full Time ⭐️ Verified

Public Health Data Analyst

BrightPath Public Health Institute
Boston, MA
Salary Estimate
USD 90.000 – USD 120.000
Posting Time
1 Mei 2026
Deadline
1 Mei 2027

Job description

BrightPath Public Health Institute is seeking a motivated Public Health Data Analyst to join our mission of improving population health outcomes through rigorous data analysis and evidence-based policy support. This role partners with cross-functional teams to translate complex health data into accessible insights that inform program design, evaluation, and decision-making.

As a member of our Public Health team, you will work on real-world datasets, collaborate with epidemiologists and policymakers, and contribute to reports, dashboards, and strategy development that drive measurable health impact in the Boston area and beyond.

Responsibility

  • Design, clean, and maintain public health datasets from multiple sources (EHRs, surveys, surveillance systems) ensuring accuracy and reproducibility.
  • Develop and validate analytical models to assess disease trends, risk factors, and program effectiveness.
  • Create interactive dashboards and data visualization products for internal teams and external partners.
  • Lead or support data-driven evaluation of community health programs and policy interventions.
  • Collaborate with epidemiologists, statisticians, and program staff to translate findings into actionable recommendations.
  • Prepare concise reports, briefs, and presentations for leadership and stakeholders.
  • Implement data quality assurance processes and documentation to support compliance and transparency.
  • Mentor junior analysts and contribute to a data-driven culture across the organization.

Qualification

  • Master’s degree in Public Health, Epidemiology, Biostatistics, Data Science, or a related field (or equivalent professional experience).
  • 3+ years of experience in public health data analysis or a related domain.
  • Proficiency in SQL and at least one statistical programming language (R, Python, SAS).
  • Strong knowledge of study design, biostatistics, and epidemiological methods.
  • Experience with data visualization tools (Tableau, Power BI, or similar).
  • Familiarity with health information systems, surveillance data, and privacy regulations (HIPAA compliant).
  • Excellent communication skills, with the ability to translate technical results into non-technical insights.
  • Ability to work independently in a collaborative environment and manage multiple priorities.

Required Skills

data analysis SAS SQL R Python epidemiology biostatistics data visualization Tableau Power BI program evaluation

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