
Head of Clinical Quantitative Science
- Leiden, Zuid-Holland
- Vast
- Voltijds
- Lead the clinical quantitative strategy for early-stage programs from first-in-human through proof-of-concept, focusing on biostatistics and data science to drive trial design and strategic decision-making.
- Design and implement innovative statistical methodologies (e.g., Bayesian, adaptive designs, enrichment strategies, dose-escalation models) to enhance the efficiency and scientific rigor of clinical trials.
- Analyze opportunities through disease modeling, including disease progression models, patient classification/clustering, biomarker integration, and the use of genetics, imaging, and real-world data to refine population selection and endpoint definition.
- Collaborate closely with clinical development, translational medicine, regulatory, and biomarker teams to integrate quantitative approaches across trial design and execution.
- Apply advanced statistical and data science methods (e.g., machine learning, real-world data analytics) to assess feasibility, trial outcomes, and development scenarios.
- Distinct from the PB/PKPD function, focus on clinical-level statistics, patient-level inferences, and disease-level modeling, rather than target engagement or species-level PK/PD translatability.
- Present quantitative findings to internal project teams, governance boards, and regulatory authorities, ensuring clarity and alignment with strategic goals.
- Maintain high standards of scientific rigor and regulatory compliance across all deliverables.
- PhD (or equivalent) in Biostatistics, Clinical Epidemiology, Applied Mathematics, Computational Biology, or related field.
- 8+ years of relevant experience in clinical development, with a strong track record in early-phase programs and data-driven clinical trial strategies.
- Extensive experience with statistical software and modeling tools (e.g., R, SAS, Python, Bayesian frameworks).
- Proven success in applying statistical models and trial simulations to support go/no-go decisions, trial design optimization, and regulatory interactions.
- Deep understanding of the integration of biostatistics, pharmacometrics, and big data into clinical development.
- Strong communication and leadership skills with the ability to influence cross-functional teams.
- High level of scientific curiosity, strategic mindset, and attention to detail.
- Ability to manage multiple projects and priorities in a fast-paced environment.
- Experience in therapeutic areas such as liver diseases or CNS.
- Background in AI/ML, digital biomarkers, or advanced classification/clustering approaches in clinical trials.
- Prior engagement with Health Authorities on clinical quantitative strategies and model-informed drug development (MIDD).
- 8% holiday allowance
- 30 vacation days
- An annual performance bonus
- Stock options
- A premium-free pension plan
- A commuting allowance
- A subsidized staff restaurant
- Unlimited (un)healthy snacks and drinks
- Employee events (boot camp, Rebel Café and other social events)