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Director Public Health Data Science Jobs (NOW HIRING)

GDIT

Data Modernization & Analytics Lead

Atlanta, GA · On-site

Do the long, deliberate work of turning a disparate setup into something CDC can direct with intent ... Advanced degree in data science, public health, analytics, or a related field. We weigh proven ...

Miami, County of (KS)

Public Health Director

Paola, KS

$89K - $97K/yr

Lead community health assessments and use data to guide program planning, improvement, and ... Bachelor's degree in public health, nursing, health sciences, or a related field required; Master ...

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As of Jul 5, 2026, the average yearly pay for director public health data science in the United States is $154,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $189,500.00 per year, depending on experience, location, and employer.
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Director Public Health Data Science jobs near you
Infographic showing various Director Public Health Data Science job openings in the United States as of June 2026, with employment types broken down into 8% As Needed, 66% Full Time, 21% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $154,873 per year, or $74.5 per hour.
POSTDOCTORAL RESEARCHER - Epidemiology & Health Data Science and Biostatistics - Luan Lab [Req#: 934

POSTDOCTORAL RESEARCHER - Epidemiology & Health Data Science and Biostatistics - Luan Lab [Req#: 934

UT Southwestern Medical Center

Dallas, TX • On-site

Full-time

Posted 14 days ago

UT Southwestern rating

7.8

Company rating: 7.8 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

104th of 877 rated healthcare providers

Job description

Description
POSTDOCTORAL RESEARCHER - We invite applications for a Postdoctoral Researcher position focused on applying LLMs and GeoAI in geospatial health data analysis. This position will involve training and fine-tuning LLMs and GeoAI models to analyze geospatial health datasets on different topics (e.g., HIV, cardiology, and cancer) from various data sources (e.g., longitudinal health surveys, Electronic Health Record, open data). The successful candidate will also help develop an LLM-based spatial analysis tool, promote its use by public health researchers and practitioners, and assess the tool's acceptability and feasibility.
Description of Duties and Responsibilities:
• Train and fine-turning LLMs and GeoAI models for geospatial health data analysis.
• Develop an LLM-based spatial analysis tool and assess its acceptability and feasibility.
• Collaborate with experts in epidemiology, health data science, and computer science.
• Prepare manuscripts for peer-reviewed journals.
• Present research at academic conferences.
• Assist and develop new grant proposals on related topics for submission to funding agencies.
• Mentor graduate students in the research team.
Term: One year with potential extension based on performance and funding availability
Visa sponorship: J-1 if needed
Qualifications
Required Qualifications:
• A Ph.D. in Computer Science, Health Informatics, Geospatial Data Science, Statistics, or a related field.
• Strong background in (geospatial) AI and generative AI/LLM.
• Strong R or Python programming skills.
• Proven ability to publish in high-impact academic journals.
• Strong written and oral communication skills.
Desired Qualifications
• Experience with GeoAI applications in Street View Images and Remote Sensing
• Knowledge of (Bayesian) spatial statistics, spatial accessibility, and spatial optimization
• Knowledge of spatial epidemiology
Application Instructions
Interested individuals must upload a CV, cover letter, and a list of three references.

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