Astellas Pharma
Clinical Modeling & Analytics Solution Scientist
Astellas Pharma, Northbrook, Illinois, us, 60065
Clinical Modeling & Analytics Solution Scientist
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Clinical Modeling & Analytics Solution Scientist
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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. 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. Responsibilities and Accountabilities
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 Qualifications
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 programming (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 Qualifications
Deep understanding of clinical development process, trial planning and execution. Exposure to AI/ML tools or frameworks (PyTorch, Scikit‑learn) and knowledge of AI/ML concepts applied to clinical trial use cases. Salary Range
$125,000 – $170,000 Benefits
Medical, Dental and Vision Insurance Generous Paid Time Off options, including Vacation, Sick time, and national holidays. 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 Referral bonus program Astellas is committed to equality of opportunity in all aspects of employment. EOE including Disability/Protected Veterans. Seniority Level
Not Applicable Employment Type
Full‑time Job Function
Health Care Provider Industries
Biotechnology Research, Pharmaceutical Manufacturing, and Research Services
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Join to apply for the
Clinical Modeling & Analytics Solution Scientist
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. 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. Responsibilities and Accountabilities
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 Qualifications
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 programming (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 Qualifications
Deep understanding of clinical development process, trial planning and execution. Exposure to AI/ML tools or frameworks (PyTorch, Scikit‑learn) and knowledge of AI/ML concepts applied to clinical trial use cases. Salary Range
$125,000 – $170,000 Benefits
Medical, Dental and Vision Insurance Generous Paid Time Off options, including Vacation, Sick time, and national holidays. 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 Referral bonus program Astellas is committed to equality of opportunity in all aspects of employment. EOE including Disability/Protected Veterans. Seniority Level
Not Applicable Employment Type
Full‑time Job Function
Health Care Provider Industries
Biotechnology Research, Pharmaceutical Manufacturing, and Research Services
#J-18808-Ljbffr