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Food Safety & Pathogen Surveillance

Whole-genome surveillance of foodborne pathogens: outbreak tracing, antimicrobial-resistance profiling, and regulatory reporting.

GenomeTrakrPulseNetEnteroBaseResFinder
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Default learning track

4 phases · ~16–22 weeks

A baseline path through this sector with milestones, prerequisites, and concrete projects. Click Personalize this roadmap above to have the AI tailor pace, depth, and resources to your background and goals.

1

Phase 1 — Foundations

3–4 weeks 30–40 hours

Build the conceptual and quantitative base needed to read papers and follow tutorials in the sector.

Prerequisites

  • Comfortable with basic biology / health-science vocabulary
  • Ability to install software and use a terminal

Skills you'll build

Python or R basicsLinux shellGit/GitHubReading scientific literature

Hands-on projects

Reproducible analysis notebook

Walk through a published tutorial in EnteroBase / cgMLST + ResFinder and reproduce its results on the provided sample data.

Deliverable: GitHub repo with a Jupyter/Quarto notebook, environment.yml, and README

Milestones

  • Set up reproducible Conda/Mamba environment and a public GitHub repo
  • Read and summarize 3 review papers covering the sector landscape
  • Complete an intro statistics or scripting course end-to-end
Citation · documentation
GenomeTrakr Network
U.S. FDA
Why: Exact sector match (Food Safety & Pathogen Surveillance)
Dataset · dataset
EnteroBase
Univ. of Warwick
Why: Exact sector match (Food Safety & Pathogen Surveillance)
2

Phase 2 — Core tools & datasets

4–6 weeks 60–80 hours

Learn the standard analytical stack of the sector and the canonical public datasets used by professionals.

Prerequisites

  • Completed Phase 1 reproducible notebook
  • Working Python/R environment

Skills you'll build

EnteroBase / cgMLST + ResFinderData wranglingQC & exploratory analysisVersion-controlled pipelines

Hands-on projects

Dataset deep-dive on GenomeTrakr / PulseNet International

Pick one study from GenomeTrakr / PulseNet International, reproduce the headline result, and write a short technical note on what you found.

Deliverable: GitHub repo + 3-page PDF write-up

Milestones

  • Run the official EnteroBase / cgMLST + ResFinder tutorial end-to-end on real data
  • Download and explore one full dataset from GenomeTrakr / PulseNet International
  • Document a clean QC + analysis pipeline that another person could rerun
Citation · documentation
PulseNet International
U.S. CDC / WHO
Why: Exact sector match (Food Safety & Pathogen Surveillance)
Dataset · dataset
NCBI Pathogen Detection
NCBI
Why: Exact sector match (Food Safety & Pathogen Surveillance)
3

Phase 3 — Applied projects

6–8 weeks 80–120 hours

Move from tutorials to original analyses on real questions. Start showing your work publicly.

Prerequisites

  • Phase 2 dataset deep-dive complete
  • Comfortable with the sector's primary tooling

Skills you'll build

End-to-end pipeline designStatistical interpretationScientific writingReproducible reports

Hands-on projects

Outbreak cluster reconstruction

Take a public set of foodborne-pathogen genomes, run cgMLST, build a tree, and identify likely outbreak clusters.

Deliverable: Pipeline repo + cluster tree + report

Milestones

  • Ship one original mini-analysis on a public dataset with clearly stated hypothesis and limitations
  • Engage with the GenomeTrakr and PulseNet communities (post a question, answer one, or share a notebook)
  • Get peer feedback on at least one project and iterate
Citation · documentation
EFSA One Health WGS analytical platform
EFSA / ECDC
Why: Exact sector match (Food Safety & Pathogen Surveillance)
Dataset · tool
ResFinder — AMR gene detection
DTU
Why: Exact sector match (Food Safety & Pathogen Surveillance)
4

Phase 4 — Portfolio & career launch

3–5 weeks 30–50 hours

Package your work, target real roles, and prepare to interview in the sector.

Prerequisites

  • Phase 3 capstone project shipped
  • 2+ public repos under version control

Skills you'll build

Technical CVPortfolio siteInterview prep (case studies + technical questions)Networking

Hands-on projects

Job-ready portfolio package

Curate 2–3 of your strongest sector projects into a portfolio site with clear case-study writeups, plus a 1-page CV tailored to the target role.

Deliverable: Live portfolio URL + PDF CV + cover letter template

Milestones

  • Publish a portfolio site or pinned GitHub README linking to 2–3 projects
  • Tailor CV to 3 real job ads in the sector and submit applications
  • Practice 5 mock technical interviews with sector-specific case studies
Citation · documentation
WHO Foodborne Disease Burden Epidemiology Reference Group (FERG)
WHO
Why: Exact sector match (Food Safety & Pathogen Surveillance)
Dataset · tool
Bactopia — bacterial WGS pipeline
Petit Lab
Why: Exact sector match (Food Safety & Pathogen Surveillance)

Curated learning resources

Verified, canonical resources from the official providers in this sector. The AI roadmap builder draws from this same library when it personalizes your roadmap.

Courses

Coursera · Epidemics — the Dynamics of Infectious Diseases (incl. foodborne)
Coursera · Penn State
Python for Everybody
Coursera · Univ. of Michigan
LinkedIn Learning paths
LinkedIn

Trainings

Software Carpentry lessons
The Carpentries
Kaggle Learn
Kaggle

Documentations

GenomeTrakr Network
U.S. FDA
PulseNet International
U.S. CDC / WHO
EFSA One Health WGS analytical platform
EFSA / ECDC
WHO Foodborne Disease Burden Epidemiology Reference Group (FERG)
WHO
Codex Alimentarius
FAO/WHO
Git & GitHub fundamentals
GitHub Docs

Tools

ResFinder — AMR gene detection
DTU
Bactopia — bacterial WGS pipeline
Petit Lab

Datasets

EnteroBase
Univ. of Warwick
NCBI Pathogen Detection
NCBI

Books

R for Data Science (2e)
Hadley Wickham et al.

Typical career paths

Foodborne Pathogen Genomicist

Runs WGS-based surveillance pipelines in regulatory or public-health labs.

AMR Surveillance Analyst

Profiles AMR genes in food-chain isolates and reports trends.

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