PKPD Modeling Pharmacometrics Lead

Mercor; Remote; EUR 40.000 - 60.000; Teilzeit

Zusammenfassung

A leading pharmacology consultancy is seeking an expert in quantitative pharmacology to refine PK/PD modeling techniques. The ideal candidate will possess deep expertise in model fitting and parameter estimation, particularly using NONMEM or Monolix. Responsibilities include designing evaluation rubrics and defining model failure conditions. This role offers remote part-time work with full-time options. Candidates should have extensive experience in the pharmaceutical industry, particularly in pharmacology consultancies.

Qualifikationen

• 812 years of quantitative pharmacology experience in pharma CROs or modeling consultancies.
• Strong portfolio in population PK/PD exposure-response and parameter estimation.
• Demonstrated ability to interpret model results for decision-making.

Aufgaben

• Design and refine micro-evaluations for PK/PD performance.
• Encode quantitative sanity checks into model rubrics for automated evaluation.
• Define failure conditions like unsafe extrapolation and poor coverage.

Kenntnisse

Quantitative pharmacology

Population PK/PD modeling

Model fitting sensitivity analysis

Parameter estimation using NONMEM

Clinical pharmacology leads

Tools

NONMEM

Monolix

Jobbeschreibung

Who were looking for

Deep hands‑on experience in PK PD exposure-response modeling and ideally population PK or QSP.

Expert at model fitting sensitivity analysis and identifying non‑plausible parameter spaces.

Can evaluate the validity of dose‑exposure predictions and detect high‑risk extrapolations.

Comfortable designing model evaluation rubrics that distinguish between acceptable vs. non‑credible outputs.

Able to articulate how quantitative checks should complement narrative decision logic.

Nice-to-have :

Experience supporting translational or clinical pharmacology leads in dose justification.

Familiarity with integrating nonclinical PK / PD data (2‑species GLP human FIH extrapolation).

Experience level

812 years of quantitative pharmacology experience in pharma CROs or modeling consultancies.

Strong portfolio in population PK / PD exposure-response and parameter estimation using NONMEM, Monolix or equivalent tools.

Demonstrated ability to interpret model results for decision‑making, not just fit data.

Can create fit‑for‑purpose models and critique model structures or assumptions under uncertainty.

Expectations

Design and refine micro‑evaluations for PK / PD performance (curve fits, parameter checks, error taxonomies).

Encode quantitative sanity checks into model rubrics for automated evaluation.

Define failure conditions (e.g., unsafe extrapolation, poor coverage, curves, invalid assumptions).

Inputs we give :

PK / PD datasets, tox summaries and performance prompts (e.g., fit exposure‑response curves, interpret safety margins).

Example model outputs from automated systems.

Expected outputs :

Quantitative Rubrics: clear thresholds for acceptable parameter fits, coverage curve quality, and model integrity checks.

Golden Fit Examples: representative ideal PK / PD model outputs and visualizations for calibration.

Error Taxonomy: structured list of typical modeling or fitting errors with root‑cause annotations.

Meta‑Layer Commentary: short note per rubric capturing how expert modelers recognize implausible or unsafe fits beyond numeric error values.

Engagement Model & Compensation

• Contract / part‑time remote outcome‑based deliverables.

Employment Type :

Full Time

Experience :

years

Vacancy :

1