Level 2 Scientific Research and Development (JOB00020439)

Working Hours

Working Environment and Location

• This position is onsite in HQ, China    
• This position is hybrid and will require you to be onsite X days per week/month/quarter
• This position is a field-based opportunity in CITY, STATE
• At Astellas we recognize the importance of work/life balance, and we are proud to offer a hybrid working solution allowing time to connect with colleagues at the office with the flexibility to also work from home. We believe this will optimize the most productive work environment for all employees to succeed and deliver. Hybrid work from certain locations may be permitted in accordance with Astellas’ Responsible Flexibility Guidelines.

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.​ 

Role and Responsibilities

The Clinical Modeling & Analytics Innovation Lead

• ​​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 etc.
• 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 contribute 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 establish thought leadership through publications, presentations, and industry collaborations.

Essential 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 pharma/biotech, CROs or healthcare settings.
• Deep expertise and strong hand-on experience of modeling and simulation techniques and AI/ML in predictive modeling, trial simulation, or trial operational analytics.
• Proficiency in R, Python, SAS, and relevant simulation platforms.
• Experience and knowledge with various data sources (i.e., clinical trials, RWD, industry benchmark data), and relevant data standards (CDISC, OMOP, CTMS etc.) in clinical development and operations.
• Track record of leveraging advanced analytics, modeling and AI/ML to drive measurable impacts in drug R&D and life sciences

Strong communication skills and experience to develop collaboration and partnership ​ 

Preferred Qualifications

• Experience with development and deployment of generative AI solutions (i.e., LLMs or foundational models), digital twins or medical imaging analytics etc.
• Recognized contributions and quantitative expertise in advanced analytics, modeling & simulation and AI/ML, i.e., with top-tier publications and presentations
• Experience with MLOps and workflow development within cloud platforms (Azure, AWS, GCP etc.)

Why Astellas

• We're seeking passionate individuals who thrive in dynamic environments, embrace new ideas and aren't afraid to take intelligent risks. 
• People who act with unwavering integrity and are deeply committed to making a tangible impact. 

Learn more at Astellas.com

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Benefits

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