Clinical Modeling & Analytics Solution Scientist

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 www.astellas.com.

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 Solution Scientist is a technical contributor who supports the development of clinical modeling prototypes, analytics platforms, and operational tools. This role focuses on implementing solutions, creating dashboards, and refining models to meet the evolving data needs of clinical operations teams. The Solution Scientist will collaborate across the business to execute projects that improve usability and reliability of clinical trial insights.

Responsibilities and Accountabilities:

The Clinical Modeling & Analytics Solution Scientist:

• Supports and implements analytics and modeling prototypes and solutions and collaborates with team members and stakeholders for refinement and improvement.
• Develops user-friendly dashboards and tools that provide operational and feasibility insights to assist trial planning and execution.
• Contributes to the development of portfolio-level clinical trial operational data & analytics solutions to meet specific project needs and supports efforts to maintain adaptability and reliability of the solutions.
• Enables automated data aggregation, executes technical workflows for analytics tools and pipelines, collaborating with team members to improve operational use.
• Supports secure implementation of analytics workflows to meet scalability and security objectives.
• Contributes to development of operational data governance standards and best practices, and ensures compliance with clinical operation data integrity and company policies.

Qualifications:

Required

• Master’s or Bachelor’s degree in Computer Science, Data Science, Data Engineering, Statistical Programming or related disciplines.
• MS with minimum 6+ years of experience or Bachelor with minimum 9+ years of experience, preferred in pharma/biotech, CROs or healthcare settings
• At least 5+ years of experience in data engineering, modeling, analytics, or solution architecture.
• Proven record in developing data architecture, tools and platforms to support modeling, visualization, and real-time analytics.
• Strong hands-on with programming (i.e., Python, R, SQL etc.), application development (Shiny, Streamlit etc.) and data visualization tools (Tableau, Spotfire, Qlik etc.)
• Exposure to cloud platforms (AWS, Azure, Google Cloud) for implementing data workflows and analytics solutions.
• Familiarity with clinical trial and RWD data standards (CDISC, OMOP, CTMS etc.), EDC systems, and regulatory requirements for clinical trial data
• Strong problem-solving abilities to tackle challenges in clinical trial data analytics, and able to manage multiple projects and deadlines in a dynamic environment

Preferred:

• Deep understanding of clinical development process, trial planning and execution
• Exposure to AI/ML tools or frameworks (e.g., PyTorch, Scikit-learn) and knowledge with AI/ML concepts applied to clinical trial use cases

Salary Range

$122,500 – $192,500  (Final compensation will be determined based on a variety of factors, including but not limited to skills, experience and organizational equity considerations)

Benefits:

• Medical, Dental and Vision Insurance
• Generous Paid Time Off options, including Vacation and Sick time, plus national holidays including year-end shut down
• 401(k) match and annual company contribution
• Company paid life insurance
• Annual Corporate Bonus and Quarterly Sales Incentive for eligible positions
• Long Term Incentive Plan for eligible positions
• Company fleet vehicle for eligible positions
• Referral bonus program

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