Statistical Data Sciences Lead (IC)
Location: India – Mumbai
Job Type: Full Time
Posted: 1 Day Ago
Job ID: 4944673
Department: Medical
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About Pfizer
At Pfizer, we’re in relentless pursuit of breakthroughs that change patients’ lives. Every day, we innovate to make the world a healthier place.
Our Purpose: Breakthroughs that change patients’ lives.
Our Values: Courage, Excellence, Equity, and Joy.
Pfizer R&D: The heartbeat of Pfizer’s innovation, driving a world-class product pipeline to deliver life-changing medicines.
Benefits: Pfizer offers competitive compensation and comprehensive benefits tailored to diverse colleague needs.
Role Summary
The Statistical Data Sciences Lead (IC) is responsible for leading statistical programming activities, overseeing deliverables, ensuring quality standards, and supporting innovative analytics for clinical development. This role involves hands-on programming, technical leadership, project oversight, and mentoring within a dynamic global environment.
Key Responsibilities
Project Leadership & Oversight
Accountable for multiple moderate-complexity projects and workstreams, managing timelines, work plans, and deliverables.
Contribute approximately 70% of time to hands-on programming (SAS, R, or Python), 10% to project/team management, and 20% to learning and development.
Deliver results through a combination of direct programming and oversight of vendors/offshore support.
Collaborate with statisticians and programming teams to establish study strategy, timelines, and resource allocation.
Ensure all deliverables (datasets, tables, listings, figures) meet quality, accuracy, and regulatory standards.
Data Management & Quality
Maintain accurate documentation and quality control across all programming deliverables throughout the study lifecycle.
Verify proper Trial Master File (TMF) filings where required.
Understand and implement study/project/portfolio-level requirements and ensure alignment with global standards.
Anticipate downstream data usage to ensure programming outputs are optimized for multiple applications.
People & Performance Management
Support the Senior Manager in conducting performance reviews and creating career development plans for team members.
Act as a mentor to junior programmers, fostering continuous learning and growth.
Provide guidance and technical leadership across programming, data modeling, and analytics.
Strategic & Technical Excellence
Serve as a Subject Matter Expert (SME) and lead global initiatives (e.g., submission strategies, application management).
Participate in global and local projects contributing to process improvement, innovation, and standardization.
Maintain up-to-date expertise in therapeutic area-specific safety standards and contribute to developing new study-level standards.
Identify business problems, translate them into analytical challenges, and solve them using advanced data science algorithms.
Innovation & Problem Solving
Proactively identify potential issues and communicate them to senior management.
Solve routine and complex problems using technical experience and creative approaches.
Drive innovation in programming practices, tools, and analytics methodologies across the team.
Qualifications
Minimum Requirements
Bachelor’s or Master’s degree in Statistics, Data Science, Computer Science, Mathematics, or related field.
Minimum 7–8 years of relevant experience in a pharmaceutical, biotech, CRO, or regulatory agency environment.
Proficiency in SAS, R, or Python for statistical programming and data analysis.
Strong understanding of statistical methodologies, CDISC standards, and regulatory submission requirements.
Proven experience in project leadership and vendor management.
Excellent problem-solving, communication, and mentoring skills.
Preferred Skills
Experience leading statistical programming for regulatory submissions.
Knowledge of data visualization and machine learning methods.
Demonstrated ability to manage hybrid/global teams effectively.
Familiarity with modern data analytics tools and automation platforms.
Work Environment
Work Location Assignment: Hybrid
Collaboration Model: Combination of remote and on-site work with global cross-functional interaction.
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction where it operates.
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Boise |Illinois :
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Duluth | Eden Prairie | Fridley | Hibbing | Maple Grove | Minneapolis and St. Paul, Minnesota. | Minnetonka | St.Paul |Missouri :
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China | Quarry Bay |Hubei :
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Zaventem |Bosnia and Herzegovina :
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Croatia |Zagreb :
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