Astellas Pharma
Clinical Modeling & Analytics Solution Lead
Base pay range $155,000.00/yr - $195,000.00/yr
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 Lead plays a pivotal role in architecting and developing clinical modeling and analytics platforms, transforming prototypes into production-ready solutions, and enabling self-service tools to meet the evolving needs of efficient clinical operation and optimal trial planning/design. This position will collaborate across the business to design and deliver innovative solutions that improve accessibility, scalability, and reliability of clinical trial insights.
Responsibilities And Accountabilities
Architects scalable trial operational data and analytics solutions, ensuring reliability and adaptability to meet long-term analytical needs for clinical trial optimization
Develops user-friendly dashboards and analytics tools and platforms for operational and feasibility insights that support key stakeholders across clinical trial portfolio
Translates data modeling and analytics prototypes into production-ready systems, partners with IT and digital teams to automate data & analytics workflows that are accessible to both technical and non-technical users
Implements processes and pipelines for deploying, monitoring, and maintaining data, analytical, forecasting and simulation models at scale
Collaborates with stakeholders to refine and adapt solutions for operational use
Acts as a key point of contact of Clinical Modeling & Analytics team to collaborate with internal technical teams (e.g., clinical data enablement, digital/IT teams), and contributes to the assessment of internal/external solutions
Provides technical leadership and mentorship to junior team members and colleagues involved in clinical modeling data and analytics projects
Develops and implements rigorous data governance practices to maintain compliance, security, and scalability in analytics workflows
Qualifications
Required
Master’s or Bachelor’s degree in Computer Science, Data Science, Data Engineering, Statistical Programming or related disciplines.
MS with minimum 9+ years of experience or bachelor with minimum 12+ years of experience, preferred in pharma/biotech, CROs or healthcare settings
At least 7+ years of experience in data engineering, modeling, analytics, or solution architecture.
Proven track record in developing data architecture, tools and platforms to support modeling, visualization, and real-time analytics.
Proficiency in programming (Python, R, SQL etc.), application development (Shiny, Streamlit, etc) and data visualization tools (Tableau, Spotfire, Qlik etc.)
Strong experience with cloud platforms (AWS, Azure, Google Cloud) and related data and analytics systems for deploying and managing data & analytics solutions
Deep knowledge with clinical trial and RWD data standards (CDISC, OMOP, CTMS etc.), EDC systems, and regulatory requirements for clinical trial data
Strong problem-solving abilities and a strategic mindset to tackle challenges in clinical trial data analytics, and able to manage multiple projects and deadlines in a dynamic environment
Preferred
Experience in systems and workflows deploying AI/ML applications for clinical trials
Solid understanding of MLOps frameworks and AI/ML techniques (e.g., TensorFlow, PyTorch, Scikit-learn)
Experience enabling GenAI or medical imaging pipelines at the infrastructure level.
Salary Range
$155K – $195K (NOTE: Final salary could be more or less, based on experience)
Benefits
Medical, Dental and Vision Insurance
Generous Paid Time Off options, including Vacation, Sick time, plus national holidays including Heritage Days, and Summer and Winter Breaks
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
Category Quantitative Sciences & Evidence Generation
Astellas is committed to equality of opportunity in all aspects of employment. EOE including Disability/Protected Veterans
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
Referrals increase your chances of interviewing at Astellas Pharma by 2x
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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 Lead plays a pivotal role in architecting and developing clinical modeling and analytics platforms, transforming prototypes into production-ready solutions, and enabling self-service tools to meet the evolving needs of efficient clinical operation and optimal trial planning/design. This position will collaborate across the business to design and deliver innovative solutions that improve accessibility, scalability, and reliability of clinical trial insights.
Responsibilities And Accountabilities
Architects scalable trial operational data and analytics solutions, ensuring reliability and adaptability to meet long-term analytical needs for clinical trial optimization
Develops user-friendly dashboards and analytics tools and platforms for operational and feasibility insights that support key stakeholders across clinical trial portfolio
Translates data modeling and analytics prototypes into production-ready systems, partners with IT and digital teams to automate data & analytics workflows that are accessible to both technical and non-technical users
Implements processes and pipelines for deploying, monitoring, and maintaining data, analytical, forecasting and simulation models at scale
Collaborates with stakeholders to refine and adapt solutions for operational use
Acts as a key point of contact of Clinical Modeling & Analytics team to collaborate with internal technical teams (e.g., clinical data enablement, digital/IT teams), and contributes to the assessment of internal/external solutions
Provides technical leadership and mentorship to junior team members and colleagues involved in clinical modeling data and analytics projects
Develops and implements rigorous data governance practices to maintain compliance, security, and scalability in analytics workflows
Qualifications
Required
Master’s or Bachelor’s degree in Computer Science, Data Science, Data Engineering, Statistical Programming or related disciplines.
MS with minimum 9+ years of experience or bachelor with minimum 12+ years of experience, preferred in pharma/biotech, CROs or healthcare settings
At least 7+ years of experience in data engineering, modeling, analytics, or solution architecture.
Proven track record in developing data architecture, tools and platforms to support modeling, visualization, and real-time analytics.
Proficiency in programming (Python, R, SQL etc.), application development (Shiny, Streamlit, etc) and data visualization tools (Tableau, Spotfire, Qlik etc.)
Strong experience with cloud platforms (AWS, Azure, Google Cloud) and related data and analytics systems for deploying and managing data & analytics solutions
Deep knowledge with clinical trial and RWD data standards (CDISC, OMOP, CTMS etc.), EDC systems, and regulatory requirements for clinical trial data
Strong problem-solving abilities and a strategic mindset to tackle challenges in clinical trial data analytics, and able to manage multiple projects and deadlines in a dynamic environment
Preferred
Experience in systems and workflows deploying AI/ML applications for clinical trials
Solid understanding of MLOps frameworks and AI/ML techniques (e.g., TensorFlow, PyTorch, Scikit-learn)
Experience enabling GenAI or medical imaging pipelines at the infrastructure level.
Salary Range
$155K – $195K (NOTE: Final salary could be more or less, based on experience)
Benefits
Medical, Dental and Vision Insurance
Generous Paid Time Off options, including Vacation, Sick time, plus national holidays including Heritage Days, and Summer and Winter Breaks
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
Category Quantitative Sciences & Evidence Generation
Astellas is committed to equality of opportunity in all aspects of employment. EOE including Disability/Protected Veterans
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
Referrals increase your chances of interviewing at Astellas Pharma by 2x
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr