- The Senior Analyst role in Bristol Myers Squibb's Trial Analytics, Insights, and Planning (TAIP) unit is an excellent opportunity for professionals with approximately 3-6 years of experience in consulting, life sciences analytics, or clinical trial operations to step into an internal consulting environment that directly accelerates drug development.

- Senior Analysts join one of two tracks based on their background and preference.

- The Analytical track focuses on forecasting, data modelling, dashboards, and site performance analytics.

- The Scientific track focuses on protocol logic, patient population sizing, eligibility criteria, and feasibility planning.

- Regardless of track, you will gain exposure to both domains and are expected to develop strong, well-rounded expertise in scientific and analytical areas over time.

- As a Senior Analyst, you will be embedded in a specific clinical trial team and work under the guidance of more senior team members to deliver core analytics workstreams that support smarter, faster trial execution.

- This includes taking ownership of trial forecasting models, feasibility analyses, and protocol analytics always with the goal of helping bring therapies to patients more effectively.

- You are not expected to be a therapeutic area or protocol expert on day one, but you will be expected to build domain knowledge over time, apply structured thinking to complex trial problems, and deliver high-quality, consistent outputs.

- You'll also be part of a global, cross-functional team, working closely with peers across time zones to - deliver with speed and precision.

Key Responsibilities:

- Own key trial-level analytics workstreams (enrollment forecasting, feasibility analysis, protocol input).

- Translate structured study requirements into analytical deliverables in collaboration with more senior TAIP colleagues.

- Work within a specific clinical trial context, gaining exposure to operational strategy, protocol logic, and real-world trial planning challenges.

- Build therapeutic area knowledge over time, contributing to more targeted and scientifically grounded analyses.

- Ensure accuracy, consistency, and clarity in data models, dashboards, and insights shared with the study team.

- Collaborate across geographies, coordinating with other analysts and team members globally.

- Contribute to cost-related analyses, such as country mix optimization and study design trade-offs.

- Support study optimization by analyzing site and patient burden, competitor activity, and external data sources.

- Coordinate with field-based colleagues to integrate local insights into feasibility and planning analytics.

- Utilize trial analytics platforms and tools to generate, structure, and communicate data-driven insights.

- Support analytics that may inform clinical supply forecasting or site-level supply considerations.

- Applies critical thinking to analyze complex data, challenge assumptions, and generate strategic, evidence-based recommendations.

Qualifications & Experience - Education Preferred advanced degree ( MSc, MPH, PharmD, PhD, MBA) in a relevant field.

Experience:

- 3-6+ years of experience in consulting, healthcare analytics, life sciences strategy, or clinical trial planning and delivery is required.

- Proven ability to manage and deliver complex analytical projects in fast-paced environments.