Principal Biomarker Data Science Lead

Planet Pharma; Belgique; Sur place; EUR 90 000 - 130 000; Plein temps

Résumé du poste

Planet Pharma is seeking an experienced Biomarker Data Science leader to shape how biomarker data informs clinical development decisions. The role spans translational research to regulatory strategy, ensuring biomarker insights guide study design and product lifecycle decisions.

Responsibilities include leading statistical methods for biomarkers, partnering with cross-functional teams, and delivering clear, regulatory-aligned insights from high-dimensional data.

Qualifications

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

Responsabilités

• 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.

Connaissances

Biostatistics

Data Science

Biomarker Analysis

Clinical Data

Regulatory Experience

R Programming

High-Dimensional Data

Formation

Advanced degree in Biostatistics, Statistics, Data Science, or related discipline

Outils

R

Description du poste

Exciting opportunity with a global biotech organisation seeking an experienced Biomarker Data Science leader to help shape how biomarker data drives clinical development decisions.

This is a highly strategic role where you'll work across translational research and clinical development, ensuring biomarker insights influence study design, development strategy, and regulatory decision-making throughout the product lifecycle.

Responsibilities

• 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.

Requirements

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

This job title is not an exact reflection of the exact job title at this client. This client uses specific titles, often not reflective of seniority, and the title used is purely to give an indication to applicants as to the approximate leveling on the market. Your Planet Pharma Recruiter will be able to provide the exact title and grading upon application.

We are an equal opportunities Recruitment Business and Agency. We welcome applications from all suitably qualified candidates regardless of their race, sex, disability, religion/belief, sexual orientation or age.