Lead the Bengaluru GCM team responsible for study execution support and strategic communications coordination, including internal study execution support, study development design support, and handoffs into dissemination or evidence communication workflows.
Ensure study execution and study development outputs are delivered with appropriate quality, documentation, reproducibility, and escalation to enable Global Evidence Generation teams to retain accountability for study strategy, methodology, interpretation, scientific authorship, and final approval.
How You Will Contribute
Study Execution Team Leadership
•Manage workflow, capacity, prioritization, and quality across Study Design & Execution Leads supporting internal study execution and study development design.
•Establish operating standards for study setup, execution documentation, quality-control evidence, status logs, version control, and handoff requirements.
•Support clear handoffs between study development, internal study delivery, strategic communications planning, and scientific review.
•Monitor workload, backlog, risks, dependencies, and cross-functional blockers across assigned study-execution workstreams.
•Study Delivery Oversight
•Oversee internal study execution support, including data inputs, analysis workflows, milestone tracking, documentation, routine analyses, and final execution-package preparation.
•·Ensure outputs include documented methods, assumptions, limitations, quality-control evidence, reproducibility records, and open interpretation questions.
•Escalate methodology changes, scientific interpretation questions, quality findings, data issues, and strategic decision points to Global Evidence Generation owners.
•Study Development and Strategic Communications Coordination
•Oversee support for evidence-source landscaping, protocol and synopsis drafting, comment collation, review packages, and cross-functional alignment documentation.
•Coordinate with Content Factory, Dissemination, R&D, Market Access, Scientific Communications, local operating companies, and Global Evidence Generation when study outputs move toward dissemination.
•· Maintain documentation of review history, decision rationale, handoffs, and final approved materials.
•Team and Stakeholder Management
•· Coach and develop Manager-level staff; support onboarding, capability building, and adherence to study-execution standards.
•· Provide regular reporting on capacity, service-level performance, quality issues, transition readiness, and process-improvement opportunities.
•· Support standardization of templates, output shells, study trackers, SOP materials, and training resources.
•Digital, Automation, and AI-Enabled Ways of Working
•· Use approved digital, automation, and AI-enabled tools to improve workflow coordination, documentation quality, status monitoring, and repeatable study-support activities.
•· Ensure appropriate human review, traceability, privacy, quality, scientific integrity, and compliance controls for AI-enabled outputs.
•· Identify opportunities to standardize and responsibly automate recurring study execution and strategic communications activities.
•Skills and Qualifications
Experience
•·More than 5 years of related work experience and more than 4 years of experience in the biopharmaceutical industry.
•Experience in evidence generation, real-world evidence, HEOR, clinical operations, study execution, medical affairs, or scientific communications is preferred.
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•Experience managing teams or senior individual contributors is preferred.
Technical and Functional Skills
•Familiarity with real-world data, HEOR analyses, clinical trial data, protocol and synopsis workflows, study reporting, and dissemination handoffs.
•Ability to manage quality, timelines, documentation, and escalation across analytical and study-execution workstreams.
•Strong stakeholder-management skills across Global Evidence Generation, R&D Centers of Excellence, R&D, DD&T, Market Access, Scientific Communications, Content Factory, and local operating companies.
•Strong people-leadership, organizational, problem-solving, documentation, and communication capabilities.
Education and Languages
•A degree in a scientific, medical, life sciences, pharmacy, public health, epidemiology, biostatistics, data science, or health economics discipline is required; an advanced degree is preferred.
