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Entry Level Public Health Data Scientist Jobs (NOW HIRING)

Voloridge Health is dedicated to developing a data-science-driven approach to assess, track, and improve healthspan. Founded in 2023 with the same data science background that has propelled its ...

Voloridge Health is dedicated to developing a data-science-driven approach to assess, track, and improve healthspan. Founded in 2023 with the same data science background that has propelled its ...

Data Scientist

Durham, NC · Remote

$51 - $58/hr

Collaborate with researchers, analysts, and leadership teams supporting environmental and public health initiatives Minimum Qualifications * Bachelor's degree in Data Science, Computer Science ...

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Entry Level Public Health Data Scientist information

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$46K

$165K

$243.5K

How much do entry level public health data scientist jobs pay per year?

As of Jun 17, 2026, the average yearly pay for entry level public health data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

Can I be a data analyst with a public health degree?

A public health degree can qualify you for a data analyst role in public health settings, especially if you have skills in data management, statistical analysis, and tools like Excel, R, or Python. Additional certifications or experience with health data systems can enhance your prospects for entry-level positions.

How do I become a data scientist with no experience?

Entry level public health data scientists typically start by gaining foundational skills in statistics, programming (such as Python or R), and data analysis. Building a portfolio through online courses, certifications, and internships can demonstrate competence, while familiarity with data visualization tools and understanding public health concepts can improve job prospects.

Can I get a data scientist job with no experience?

Entry-level public health data scientist positions often require some familiarity with data analysis tools like R or Python and understanding of public health concepts. While prior experience is beneficial, candidates with relevant coursework, internships, or certifications can qualify for entry-level roles and demonstrate their skills to employers.

Is 30 too late for data science?

Entry level public health data scientists can start at age 30, as the field values relevant skills such as data analysis, programming, and understanding of health data, which can be acquired through degrees, certifications, or self-study at any age. Many professionals transition into data science later in their careers, and age is generally not a barrier if you develop the necessary technical and domain knowledge. Continuous learning and practical experience are key to entering the field regardless of age.
More about Entry Level Public Health Data Scientist jobs
What cities are hiring for Entry Level Public Health Data Scientist jobs? Cities with the most Entry Level Public Health Data Scientist job openings:
What are the most commonly searched types of Public Health Data Scientist jobs? The most popular types of Public Health Data Scientist jobs are:
What states have the most Entry Level Public Health Data Scientist jobs? States with the most job openings for Entry Level Public Health Data Scientist jobs include:
Data Scientist I- Public Health

Data Scientist I- Public Health

Cherokee Federal

Atlanta, GA

$90K - $105K/yr

Other

Medical, Dental, Vision, Retirement

Posted 16 days ago


Job description

Job Description
Bioinformatics Support I - Data Science & Informatics
A government contract requires that this position be restricted to provide documentation that you are a U.S. citizen or legal permanent resident to qualify.
*** An active NACI clearance or the ability to obtain a NACI clearance is required for consideration. ***
The Bioinformatics Support I - Data Science & Informatics role provides analytical and technical support for public health surveillance, data engineering, and advanced analytics initiatives within CDC's Division of Global Migration Health (DGMH).
This role focuses on building and maintaining data pipelines, performing large-scale data analysis, and supporting the development of statistical models and dashboards that inform operational decision-making. The ideal candidate is comfortable working with complex datasets, developing reproducible workflows, and translating data into actionable insights in a fast-paced public health environment.
Compensation & Benefits:
Estimated Starting Salary Range for Bioinformatics Support I - Data Science & Informatics: $90,000- $105,000
Pay commensurate with experience.
Full-time benefits include Medical, Dental, Vision, 401K, and other possible benefits as provided. Benefits are subject to change with or without notice.
Bioinformatics Support I - Data Science & Informatics Responsibilities Include:
Design, build, and maintain data pipelines to ingest, transform, and validate large datasets supporting public health surveillance efforts
Analyze complex datasets to identify trends, anomalies, and actionable insights that inform program operations and decision-making
Develop and support statistical analyses, basic modeling, and data-driven reporting to support monitoring and forecasting activities
Clean, standardize, and validate data to ensure accuracy, consistency, and usability across systems and reporting outputs
Create dashboards, visualizations, and reports to communicate findings to both technical and non-technical stakeholders
Document data processes, workflows, and standard operating procedures to support reproducibility and data governance
Integrate data from multiple internal systems and external partners, ensuring alignment with program needs
Automate routine data processing and reporting tasks to improve efficiency and reduce manual effort
Collaborate with cross-functional teams, including epidemiologists, bioinformaticians, and program staff to support analytics and data initiatives
Participate in meetings, briefings, and stakeholder engagements to support program coordination and data interpretation
Bioinformatics Support I - Data Science & Informatics Experience, Education, Skills, Abilities requested:
Master's degree in Data Science, Bioinformatics, Statistics, Computer Science, Epidemiology, or related quantitative field
Strong experience working with large datasets and complex data structures
Proficiency in:
  • Python (preferred), R, or similar programming languages
  • SQL and database querying
  • Data processing frameworks (e.g., PySpark)

Experience building and maintaining data pipelines and reproducible workflows
Knowledge of statistical modeling, machine learning, or advanced analytics techniques
Strong problem-solving and analytical skills
Ability to manage multiple priorities and deadlines in a fast-paced environment
Strong written and verbal communication skills
Advanced proficiency in Microsoft Office (Outlook, Word, Excel, PowerPoint)
Must pass the pre-employment qualifications of Cherokee Federal
Preferred Qualifications:
Experience with public health surveillance systems or datasets
Experience with platforms such as Palantir Foundry or CDC 1CDP
Experience developing dashboards or data visualization tools (Tableau, Power BI, or similar)
Familiarity with data governance, security, and compliance in federal environments
Experience integrating data from multiple sources and partners
Exposure to time-series analysis, forecasting, or anomaly detection
Company Information:
Cherokee Nation Integrated Health (CNIH) is a part of Cherokee Federal - the division of tribally owned federal contracting companies owned by Cherokee Nation Businesses. As a trusted partner for more than 60 federal clients, Cherokee Federal LLCs are focused on building a brighter future, solving complex challenges, and serving the government's mission with compassion and heart. To learn more about CNIH, visit cherokee-federal.com.
#LI-SH1
Cherokee Federal is a military-friendly employer. Veterans and active military transitioning to civilian status are encouraged to apply.
Similar Searchable Job Titles:
Data Scientist (Public Health)
Data Engineer
Bioinformatics Analyst I
Public Health Data Analyst
Analytics Engineer
Keywords:
Data Science
Data Engineering
Python
SQL
Machine Learning
Legal Disclaimer: All qualified applicants will receive consideration for employment without regard to protected veteran status, disability or any other status protected under applicable federal, state or local law.
Many of our job openings require access to government buildings or military installations.

Cherokee Federal logo

About Cherokee Federal

Sourced by ZipRecruiter

Cherokee Federal - a division of Cherokee Nation Businesses - is a team of tribally owned federal contracting companies focused on building solutions, solving complex challenges, and serving the nation's mission around the globe for more than 60 federal clients. Our team of companies manages nearly 1,000 projects of all sizes across the construction, consulting, engineering and manufacturing, health, and technology portfolios. Since 2012, the Cherokee Federal team of companies has won more than $5 billion in government contracts. Our 3,000+ employees work in 26 countries, 50 states and 2 U.S. territories. Why choose Cherokee Federal? Visit our website and learn about the great reasons to join our team. cherokee-federal.com

Industry

Architectural services

Company size

1,001 - 5,000 Employees

Headquarters location

Tulsa, OK, US

Year founded

1969

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