Remote Public Health Data Scientist (Part-Time)

Automatic Data Processing, Inc.; Delaware; Remote; USD 61,000 - 89,000; Part time

Job summary

The CDC Foundation is seeking a Data Scientist to leverage advanced analytics, statistical techniques, and machine learning to inform strategic decisions in a public health context. Assigned to the Delaware Division of Public Health Epidemiology Section, you will derive insights supporting outbreak response, surveillance, and preparedness.

Responsibilities include developing predictive models, dashboards, and geospatial analyses to guide interventions, communicating findings to partners, and

Qualifications

• Bachelor’s degree or higher in Data Science, Statistics, Epidemiology, or related field; Master’s or PhD preferred.
• Minimum 5 years of relevant professional experience.
• Proficiency in data visualization tools (e.g., Power BI).
• Proficiency in ArcGIS software suites.
• Proficiency in statistical packages (e.g., SAS).
• Proficiency in programming languages such as Python or R.
• Experience with data manipulation and analysis tools (e.g., SQL).
• Experience applying Natural Language Processing techniques for text classification or information extraction, preferably on healthcare or public health text data.
• Experience with cloud-based data warehouses (e.g., Snowflake) and cloud platforms (e.g., AWS, Azure) preferred.
• Experience with small area estimation techniques, Bayesian hierarchical models, or multilevel modeling.
• Strong analytical thinking and problem-solving abilities.
• Ability to interpret complex datasets and derive meaningful insights.
• Excellent verbal and written communication skills.
• Ability to convey technical concepts to non-technical partners effectively.
• Flexibility to adapt to evolving project requirements and priorities.
• Professional certifications in data science, machine learning, or public health analytics preferred.
• Outstanding interpersonal and teamwork skills; collegial, energetic, and able to develop productive relationships with colleagues and partners.
• Demonstrated ability to work well independently and within teams.
• Experience working in a virtual environment with remote partners and teams.
• Proficiency in Microsoft Office.

Responsibilities

• Develop, implement, and improve data analysis and visualization tools for use by organization staff to provide timely, relevant information that informs decisions affecting the public’s health, including outbreak response, surveillance, and preparedness.
• Analyze diverse datasets related to public health issues to identify trends, patterns, and correlations.
• Apply statistical methods and machine learning algorithms to extract actionable insights.
• Develop predictive models to anticipate disease patterns, assess risk factors, and guide intervention strategies.
• Utilize statistical modeling techniques to produce reliable, precise estimates for small populations or sparsely populated rural regions and build interactive dashboards for real-time surveillance.
• Provide geospatial analysis support for infectious disease surveillance and epidemiologic investigations.
• Apply Natural Language Processing techniques to unstructured data to automate data processing and support case detection.
• Continuously optimize algorithms for enhanced accuracy and performance.
• Create compelling visualizations and reports to communicate findings to partners and decision-makers.
• Present data-driven insights in a clear and understandable manner to facilitate informed decision-making.
• Collaborate with the public health organization and its partners to understand their data needs and objectives.
• Provide data-driven support and guidance to inform public health policies and initiatives.
• Stay abreast of emerging trends, technologies, and methodologies in data science and analytics.
• Explore innovative approaches to address complex public health challenges and improve data analysis capabilities.
• Provide training and technical assistance to staff epidemiologists in data visualization, geospatial analysis, and data analysis to enhance their capacity to analyze, interpret, visualize, and communicate epidemiologic data (i.e., using Power BI, ArcGIS, and SAS).

Skills

Power BI

ArcGIS

SAS

Python

R

SQL

NLP

Snowflake

AWS

Azure

Bayesian models

Multilevel modeling

Education

Bachelor’s degree or higher in Data Science, Statistics, Epidemiology, or a related field

Master’s or PhD in a related field preferred

Tools

Power BI

ArcGIS

SAS

SQL

Python

R

Snowflake

AWS

Azure

Job description

The CDC Foundation is seeking a Data Scientist to leverage advanced analytics, statistical techniques, and machine learning to inform strategic decisions in a public health context. Assigned to the Delaware Division of Public Health Epidemiology Section, you will derive insights supporting outbreak response, surveillance, and preparedness.

Responsibilities include developing predictive models, dashboards, and geospatial analyses to guide interventions, communicating findings to partners, and