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Clinical Modeling & Analytics Innovation Lead

Remote / Online - Candidates ideally in
Northbrook, Cook County, Illinois, 60065, USA
Listing for: Astellas Pharma
Remote/Work from Home position
Listed on 2025-12-25
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst, Data Science Manager, Data Scientist
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Clinical Modeling & Analytics Innovation Lead

Join to apply for the Clinical Modeling & Analytics Innovation Lead role at Astellas Pharma

Do you want to be part of an inclusive team that works to develop innovative therapies for patients? Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians. If you want to be part of this exciting work, you belong at Astellas!

Astellas Pharma Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. We are committed to turning innovative science into medical solutions that bring value and hope to patients and their families. Keeping our focus on addressing unmet medical needs and conducting our business with ethics and integrity enables us to improve the health of people throughout the world.

For more information on Astellas, please visit our website at

This position is based in Northbrook, Illinois. Remote work from certain states may be permitted in accordance with Astellas’ Responsible Flexibility Guidelines. Candidates interested in remote work are encouraged to apply.

Purpose and Scope

The Clinical Modeling, Analytics & Operational Excellence team is a high-impact innovation team that applies advanced analytics, real-world data, modeling & simulation, and AI/ML to solve critical challenges in clinical development. This team designs and implements predictive models for patient recruitment and retention, optimizes trial feasibility and site selection, assesses novel clinical endpoints, simulates study outcomes to guide protocol design, and develops innovative operational strategies to reduce execution risk and accelerate timelines.

The Clinical Modeling & Analytics Innovation Lead will shape the future of data-driven clinical development by pioneering innovative solutions at the intersection of AI/ML, advanced analytics, modeling and simulation. The position partners closely with colleagues across clinical, biostatistics, real-world data, clinical operations, and digital/IT to improve feasibility assessments, enhance enrollment forecast, deepen data exploration and optimize trial decision‑makings. In addition, the Clinical Modeling & Analytics Innovation Lead serves as a strategic partner and innovator, driving adoption of emerging technologies (e.g., generative foundational models, digital twins, and advanced imaging analytics) to transform clinical trial strategy and execution.

Essential

Job Responsibilities
  • Leads cross‑functional initiatives applying clinical modeling & simulation, advanced analytics, and AI/ML to trial design, feasibility, and execution optimization.
  • Develops advanced simulation and predictive models supporting a variety of critical clinical development tasks, e.g., site feasibility, patient enrollment, endpoint assessment, protocol optimization, operational risk estimation and trial outcome prediction.
  • Partners with medical, biostatistics, real‑world data, and operational teams to embed modeling & analytics insights into protocol development, portfolio planning and decision‑making.
  • Leads the development of clinical modeling & data strategy and roadmap dedicated to specific business areas, and contributes to portfolio‑level clinical modeling strategy and capabilities accelerating and optimizing clinical development.
  • Proposes and pilots innovative solutions (e.g., digital twins, trial emulation, hybrid designs, real‑time patient targeting) to support trial planning, optimization and execution.
  • Represents the organization in external scientific and regulatory forums, and establishes thought leadership through publications, presentations, and industry collaborations.
  • Mentors junior team members, fosters internal quantitative excellence, shares best practices and contributes to the culture of innovation, collaboration, and accountability for results.
Required Qualifications
  • Advanced degrees in Statistics/Biostatistics, Data Science, Artificial Intelligence, Machine Learning, Epidemiology, Computational Biology, Informatics or related quantitative disciplines.
  • PhD with minimum 6+ years of experience or MS with minimum 9+ years of experience in…
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