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Clinical Pharmacometrician

AstraZeneca · South San Francisco, California, United States of America · Global

Clinical Data Science
–
physician
Dentist
Demand72
Career growth78
Healthcare fit58
Remote potential35
5-year outlook
Base compensation is already in the six-figure pharma range, and pharmacometrics skills in cell therapy, MIDD, and AI/ML should remain valued. Future earnings will depend on level, location, equity, and breadth of regulatory and program experience.
Clinical license
Not required
Applicant reach
narrow
Seniority
junior
Employment type
full-time
Date found
2026-10-19

Intelligence details

Flexible work details

Engagement type
Permanent
Hours
Full-time
Eligible countries
United States
Profession fit
physician, Dentist
Rate period
Hourly

Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.

Why this is worth applying to

Worth considering only if you have a PhD-level quantitative background and hands-on pharmacometrics modeling experience, especially in PK/PD or cell therapy. Most clinicians without formal pharmacometrics training will not be competitive.

Who should apply

Pharmacists or physicians with a PhD or strong graduate training in pharmacometrics, pharmacokinetics, biostatistics, or clinical pharmacology; clinical pharmacology fellows; and quantitative scientists with cell therapy, oncology, immunology, or regulatory MIDD exposure.

CV angle

Frame clinical pharmacology, PK/PD, exposure-response, dose-selection, biomarker, and regulatory experience using quantitative language. Highlight statistical programming, modeling software, publications, cross-functional team work, and any cell therapy or oncology data exposure without overstating industry experience.

Skills to highlight

  • Pharmacometrics modeling
  • Population PK and PKPD
  • Exposure-response analysis
  • NONMEM/R/SAS/Python/MATLAB
  • Model-informed drug development
  • Regulatory submissions and dose justification
  • Cell therapy or oncology clinical data
  • Cross-functional collaboration

Role summary

A pharma clinical pharmacometrics role building population PK, PKPD, exposure-response, and mechanistic models to support dose selection, trial design, regulatory submissions, and decision-making across a cell therapy portfolio.

We publish our own intelligence summary, never the full job description. Always confirm details with the employer when you apply.