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About the Role
The Senior Director, Statistical Innovation leads innovative methodology, advanced modelling, and data-driven decision support across Ipsen’s R&D portfolio, strengthening development strategy through design, simulation, and predictive analytics. This role leads a specialist team of 3 to 5 quantitative experts supporting innovative trial design, advanced modelling, digital twins, virtual controls, patient journey modelling, and data mining to improve development decisions, study efficiency, population selection, and portfolio value.
Responsibilities
- Lead Statistical Innovation within Biometry, accountable for strategy, priorities, quality, and capability building across a 3 to 5 person specialist team.
- Provide strategic input to innovative trial designs, including adaptive, Bayesian, enrichment, external-control, master protocol, interim, simulation, and endpoint strategies.
- Develop simulation frameworks to assess operating characteristics, optimize sample size, test decision rules, and support go/no-go decisions.
- Lead advanced modelling across clinical development and evidence generation, including disease progression, dose/regimen, patient journeys, digital twins, virtual controls.
- Drive data mining and predictive modelling to identify response predictors, heterogeneity, enrichment opportunities, prognostic factors, and patient subgroups.
- Advise on external controls, digital twins, Bayesian borrowing, historical data, and RWE, addressing bias, confounding, estimands, data quality, regulatory acceptability, and interpretability.
- Identify and implement emerging statistical and modelling approaches for high-impact Ipsen use cases.
- Establish standards, reusable code, templates, documentation, QC expectations, and governance for innovation deliverables.
- Lead and develop statisticians through prioritization, coaching, recruitment input, and succession planning.
- Work with Biostatistics and Statistical Programming to ensure methods are feasible, robust, reproducible, and submission-ready.
- Represent Biometry in governance, asset reviews, development planning, due diligence, and external scientific discussions.
- Build external networks with academics, consortia, and industry groups to maintain methodological currency.
- Communicate complex statistical and modelling outputs clearly to support senior decisions, development strategy, and portfolio prioritization.
Requirements
- 10+ years of pharmaceutical, biotechnology, CRO, academic, or related quantitative experience with a PhD, or equivalent experience with an MS/MSc.
- Deep expertise in innovative trial design, advanced modelling, simulation, predictive analytics, and data mining to support evidence generation and key clinical development, population, dose/regimen, endpoint, and portfolio decisions.
- Strong understanding of clinical development, regulatory expectations, estimands, missing data, multiplicity, bias and confounding.
- Experience leading specialist quantitative teams, including prioritization, coaching, capability development, delivery oversight, stakeholder management, and succession planning.
- Strong programming capability in R, Python, SAS, or equivalent statistical computing environments, with the ability to guide reproducible modelling and simulation workflows.
- Proven ability to influence global cross-functional teams and communicate complex methods, assumptions, uncertainty, limitations, and decisions clearly.
- Experience with advanced data science methods, including digital twins, virtual/external controls, Bayesian borrowing, causal inference, patient journeys, machine learning.
- Experience in oncology, rare disease, neuroscience drug development.
- Track record of scientific publications, conference presentations, external collaborations, or contributions to industry working groups in statistical innovation or quantitative methods.
Skills
- Statistical Innovation
- Advanced Modelling
- Data-driven Decision Support
- Trial Design
- Simulation
- Predictive Analytics
- Digital Twins
- Virtual Controls
- Patient Journey Modelling
- Data Mining
- Adaptive Trial Design
- Bayesian Methods
- Enrichment Strategies
- External Controls
- Master Protocols
- Interim Analyses
- Endpoint Strategies
- R Programming
- Python Programming
- SAS Programming
- Statistical Computing
- Reproducible Workflows
- Causal Inference
- Machine Learning
- Oncology Drug Development
- Rare Disease Drug Development
- Neuroscience Drug Development
Location
- U.S.
- France
- U.K.
Work Type
- Full-time
Experience Level
- Senior Director
- 10+ years of experience
Education Level
- PhD
- MS/MSc
About the Company
- Ipsen is a mid-sized global biopharmaceutical company with a focus on transformative medicines in three therapeutic areas: Oncology, Rare Disease and Neuroscience.
- Supported by nearly 100 years of development experience, with global hubs in the U.S., France and the U.K, we tackle areas of high unmet medical need through research and innovation.
- Our passionate teams in more than 40 countries are focused on what matters and endeavor every day to bring medicines to patients in 88 countries.
- We build a workplace that champions human-centric leadership and fosters a culture of collaboration, excellence and impact.
- At Ipsen, every individual is empowered to be their true selves, grow and thrive alongside the company’s success.
- Join us on our journey towards sustainable growth, creating real impact on patients and society!
- For more information, visit us at https://www.ipsen.com/ and follow our latest news on LinkedIn and Instagram.
Equal Opportunity
- We are committed to creating a workplace where everyone feels heard, valued, and supported; where we embrace “The Real Us”.
- The value we place on different perspectives and experiences drives our commitment to inclusion and equal opportunities.
- When we include diverse ways of thinking, we make more thoughtful decisions and discover more innovative solutions.
- Together we strive to better understand the communities we serve.
- This means we also want to help you perform at your best when applying for a role with us.
- If you require any adjustments or support during the application process, please let the recruitment team know.
- This information will be handled with care and will not affect the outcome of your application.