Associate Director, TAIP Principal Analyst_Trial Analytics, Insights & Planning (TAIP)

Own study-level analytics planning and delivery from protocol concept through execution Lead a project team of 3-5 analysts and senior analysts within a trial delivery context, ensuring coordinated, high-quality, and timely execution of deliverables Translate study objectives into analytical workstreams, including feasibility, enrollment forecasting, site scoring, and performance dashboards Engage directly with cross-functional study team members (clinical, feasibility, ops, TA leads), ensuring alignment and scientific rigor in all analytics Contribute to cost analysis efforts, including evaluating country mix and protocol design trade-offs Lead study optimization analytics, including assessment of patient and site burden, competitive trial landscape, and other key data sources Coordinate with field-based teams to incorporate on-the-ground insights into feasibility and site strategy Utilize advanced analytics tools and platforms to generate, structure, and communicate trial data Support planning and forecasting activities with implications for clinical supply, patient flow, and site-level requirements Ensure consistency and scalability in tools, assumptions, and outputs across trials and teams Escalate risks and identify opportunities to accelerate trial execution using data-driven insights Provide relevant data and insights to support clinical supply team, ensuring alignment between clinical planning and supply chain requirements Applies critical thinking to analyze complex data, challenge assumptions, and generate strategic, evidence-based recommendations Supporting People with Disabilities Education: Preferred advanced degree (MBA, MSc, MPH, PharmD, PhD, or equivalent) in a relevant field 6-8+ years of experience in clinical analytics, management consulting, or trial strategy is required Prior exposure to clinical trial delivery processes and data-driven decision making Strong therapeutic area knowledge in one or more of: Oncology, Neuroscience, Cell Therapy, Hematology, Immunology, or Cardiovascular Proven ability to lead cross-functional teams and manage multiple priorities Strong structured problem-solving and communication abilities Experience with analytics tools (e.g., Excel, PowerBI, R, Python) a plus Comfort working in fast-paced, matrixed environments with global teams