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Public Health Data Analytics Student

Department of Agriculture
Food Safety and Inspection Service
Office of Public Health Science

Summary

Make an impact while you learn. The Semester of Service Program offers students a volunteer project-based opportunity to support real Federal missions, gaining hands-on experience and career-ready skills. Students must be enrolled at least half-time in an accredited trade school, technical/vocational institute, junior college, college, university, or other accredited educational institution.

With this project, you'll use data analytics and machine learning to advance food safety.

Overview

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Accepting applications
Posted this week · Apply in 2 days
Due by 11:59 p.m. ET on June 24, 2026
Location
1 vacancy in the following location:
Work site options
Telework eligible
Not applicable, this is a remote position.
Remote job
Yes
Relocation expenses reimbursed
No
Salary
$0 - $0 without compensation
Pay scale & grade
GS 00
Promotion potential
None
Pay scale and grade determines the salary of the job.
Work schedule
Part-time - Flexible Part-Time Schedule: Monday - Friday between 7:30 AM-4:30 PM EST
Travel Required
Not required
Appointment type
Internships
Occupations and job series
Supervisory status
No
Federal service type
This job is in the Competitive Service
Represented by a union
No
Drug test
No
Security clearance
Not Required
Position sensitivity and risk
Non-sensitive (NS)/Low Risk
Jobs require a background check and some require a security clearance. The type depends on the job.
Background check type
Financial disclosure required
No
Some jobs require financial disclosure to identify conflicts of interests.
Announcement number
SOS-12985524-26-KMF
Control number
873399400

This job is open to

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Clarification from the agency

Students who are enrolled not less than half-time in an accredited trade school, technical or vocational institute, junior college, college, university, or other accredited educational institution.

Duties

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  • Extract the detailed virulence factors (VF) profiles from the available strains (potentially along with antimicrobial and heavy-metal resistance genes) in the NIH-National Center for Biotechnology Information (NCBI) Pathogen Detection (PD) system.
  • Collect the corresponding metadata, including serotype, source, date of isolation, geography, etc. and link the metadata to the VF profiles.
  • Conduct VF trend analyses describing how virulence profiles vary across source, time, and geography.
  • Identify specific VFs, or groups of VFs, that are more highly associated with more severe human health outcomes.
  • Provide evidence-based information to support regulatory decisions on the use of VF data for improving public health.
  • Leverage publicly available data from the NCBI-PD Isolate Browser, coupled with advanced data analytics and machine learning to complete the noted aims of the study and gain a very valuable set of skills to aid in their future career efforts.
  • Provide a report and give a presentation to agency senior officials.

Requirements

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Conditions of employment

To participate in this Program, you must:

  • Must be a U.S. Citizen or U.S National studying in the U.S. or abroad. International students on valid visas may participate if they meet applicable immigration, visa, and agency authorities.
  • Be enrolled not less than half-time in an accredited trade school, technical or vocational institute, junior college, college, university, or other accredited educational institution.
  • Be in good academic standing as defined by your institution.
  • Commit to volunteering 8 - 20 hours per week for a minimum of 90 days.
  • Complete all required onboarding documentation assigned by the Federal agency and your academic institution.
  • Agree to volunteer. This position is unpaid. No compensation, stipends, or hiring preference will be granted from this work. You may use this volunteer experience to qualify for future jobs you choose to apply for.
  • Agree to understanding volunteers are not Federal employees.

Qualifications

Applicants will be considered based on their knowledge, skills or abilities related to project needs.

  • Specifically, applicants should have experience working with data handling. and analyses, including proficiency in statistical coding languages such as Python.
  • Applicants with experience using AI tools and machine learning approaches on large, complex databases are preferred, but not required.

Education

To qualify, you must be enrolled not less than half-time in an accredited trade school, technical or vocational institute, junior college, college, university, or other accredited educational institution. You also must be in good academic standing as defined by your institution. Attach a copy of your transcripts to your application package for verification.

Additional information

Student volunteers must complete all required safety training, background checks, and comply with agency security protocols.

Participation must be with the permission of the institution at which the volunteer intern is enrolled.

Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.

Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.

How you will be evaluated

You will be evaluated for this job based on how well you meet the qualifications above.

You will be evaluated for this job based on how well you meet the qualifications above.

Applicants are encouraged to address their education, experience, and motivation for applying for this opportunity with the Department of Agriculture on their resume.

Experience is defined as paid, unpaid, volunteer or other experiences as it demonstrates the knowledge, skills or abilities related to project needs in this announcement.

Food Safety and Inspection Service

PROJECT DESCRIPTION: Salmonella is a serious public health threat, causing nearly 1.3 million infections each year. While most Salmonella cause a mild illness, some are highly virulent, leading to severe illness, hospitalizations and death. Salmonella has accumulated important virulence factors (VFs) that allow them to colonize food animals, survive in harsh environments, and invade human cells. A key challenge is identifying which Salmonella is the most virulent, so we can focus our resources on those most likely to cause severe illnesses, thereby improving public health outcomes. FSIS and FDA test for Salmonella in multiple foods and use whole genome sequencing (WGS) for identification. Data are available for approximately 1million Salmonella isolates in the NIH-National Center for Biotechnology Information (NCBI) Pathogen Detection (PD) Isolate Brower database. Recently, a set of 70 Salmonella virulence genes were added to the NCBI-PD system and all submitted Salmonella isolates are screened for these genes upon submission. As of March 1, 2026, there are over 800,000 isolates with Salmonella VF data included in the PD, including samples from humans, animals, food, and environmental sources.

Agency contact information

Kilinda Franklin
Phone
301-837-8766
Email
Kilinda.Franklin@usda.gov
Address
Food Safety and Inspection Service
1400 Independence Ave SW
Washington, DC 20250
US

Visit our careers page

Learn more about what it's like to work at Food Safety and Inspection Service, what the agency does, and about the types of careers this agency offers.

https://www.fsis.usda.gov/about-fsis

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