Biomarker Data Science Lead for Clinical Strategy

Planet Pharma; Lavamünd; Vor Ort; EUR 120.000 - 180.000; Vollzeit

Zusammenfassung

Planet Pharma is seeking an experienced Biomarker Data Science leader to shape how biomarker data informs clinical development decisions across translational research and development. The role spans strategy, study design, regulatory input, and cross‑functional collaboration to ensure biomarker insights drive evidence generation and program‑level decisions.

The candidate will lead quantitative biomarker strategies, translate complex data into actionable scientific recommendations, and partner

Qualifikationen

• Advanced degree in Biostatistics, Statistics, Data Science or related field.
• Proven experience applying statistical methods to clinical and biomarker data.
• Experience with predictive, prognostic, pharmacodynamic or stratification biomarkers.
• Ability to translate complex data into clear scientific recommendations.
• Experience supporting biomarker strategy and regulatory discussions is desirable.
• Proficiency with R and high‑dimensional datasets.

Aufgaben

• Lead the quantitative strategy for biomarkers across clinical development programs.
• Translate scientific and clinical questions into robust statistical and analytical approaches.
• Partner with Clinical, Biomarker, and Translational teams to drive evidence generation and study design.
• Integrate biomarker and clinical data to generate program‑level insights and support decision‑making.
• Ensure analyses are reproducible, fit-for-purpose, and aligned with regulatory expectations.
• Represent biomarker statistics in strategic forums and contribute to key development decisions.

Kenntnisse

Biostatistics

Data Science

Statistical Methods

R programming

High-dimensional data

Biomarker strategy

Ausbildung

Advanced degree in Biostatistics / Statistics / Data Science

Tools

R

Jobbeschreibung

Planet Pharma is seeking an experienced Biomarker Data Science leader to shape how biomarker data informs clinical development decisions across translational research and development. The role spans strategy, study design, regulatory input, and cross‑functional collaboration to ensure biomarker insights drive evidence generation and program‑level decisions.

The candidate will lead quantitative biomarker strategies, translate complex data into actionable scientific recommendations, and partner