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Clinical Bioinformatics & Diagnostics

Pharmacogenomics Scientist

Connect human genetic variation to drug response — a fast-growing precision medicine specialty.

Pharmacogenomics (PGx) scientists translate human genetic variation into actionable prescribing guidance. The role spans clinical labs, pharma safety teams, and clinical decision-support startups, and is growing as regulators push PGx labeling into more drug approvals.

Pharmacogenomics Scientist salary (USD)

entry
$80k–$110k
mid
$110k–$160k
senior
$160k–$220k

US base ranges blended from Levels.fyi, BLS, Glassdoor, and Payscale (2024–2025). See full salary benchmark →

What a Pharmacogenomics Scientist does day-to-day

  • Curate and validate PGx variant panels and star-allele callers.
  • Implement CPIC, DPWG, and PharmGKB guidelines into reporting.
  • Support clinical decision-support integrations with EHRs.
  • Communicate PGx results to clinicians and patients.

Required skills & tools

Core knowledge
Clinical pharmacologyVariant interpretationRegulatory awareness
Tools
PharmGKBCPICStargazerAldyPharmCATVEP
Languages
PythonRSQL

12-month roadmap to Pharmacogenomics Scientist

  1. 1
    Foundations (0–3 mo)
    Clinical pharmacology basics, CPIC and PharmGKB guideline structure.
  2. 2
    Star alleles (3–6 mo)
    Caller comparison (Stargazer, Aldy, PharmCAT) on public WGS.
  3. 3
    Reporting (6–9 mo)
    End-to-end PGx report generation for a small panel.
  4. 4
    Clinical integration (9–12 mo)
    FHIR/HL7 basics, CDS hooks, EHR delivery patterns.

Job titles to target

  • PGx Analyst
  • Senior Pharmacogenomics Scientist
  • Director, Clinical PGx

Where they hire

  • Clinical labs
  • Pharma safety
  • Precision medicine startups
  • EHR / CDS vendors

FAQ

What is the difference between PGx and clinical bioinformatics?

PGx is a specialty inside clinical bioinformatics focused specifically on drug–gene interactions and prescribing guidance, governed by CPIC/DPWG guidelines rather than general ACMG variant classification.

Is pharmacogenomics a good career to enter in 2026?

Yes. Regulatory momentum (FDA PGx labels, EU EMA guidance) and EHR-integrated decision support are driving steady hiring at clinical labs and CDS vendors.

Which tools should I learn first?

Start with PharmGKB and CPIC documentation, then learn one star-allele caller end-to-end — PharmCAT is the most production-friendly open-source option.

Related career paths

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