About Bristol Myers Squibb

Bristol Myers Squibb Recruitment

Job Role: Analyst – Trial Analytics

Qualification: Bachelors / Masters Degree

Experience: 0-2 years 

Batch: 2025 / 2024 / 2023 / 2022

Salary: up to ₹9-13 LPA

Job Location: Hyderabad 

Last Date: ASAP

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About the role

The Analyst role is an entry-level position within Bristol Myers Squibb’s Trial Analytics, Insights, and Planning (TAIP) organization — an internal consulting team dedicated to accelerating clinical development through data-driven analytics and trial planning.

As an Analyst, you will be embedded in a project-based delivery team supporting a specific clinical trial. You’ll work under the guidance of more senior team members to help execute feasibility analyses, forecasting models, dashboards, and other core analytics deliverables. You are not expected to be a clinical or therapeutic area expert at the start, but you will be expected to learn quickly, apply structured problem-solving, and contribute to real trial decisions from day one.

This is an ideal role for recent graduates with an advanced degree and a strong analytical or scientific background who are ready to build hands-on experience at the intersection of data, clinical trials, and strategic decision-making.

The Analyst position offers two tracks based on your background:

• The Analytical track focuses on forecasting, data modelling, dashboards, and trial performance analytics.
• The Scientific track focuses on protocol logic, patient population sizing, eligibility criteria, and feasibility support.

While prior clinical trial experience is not required, we’re looking for candidates with a strong analytical mindset, curiosity, and the ability to connect data to strategic decisions that accelerate development.

Key Responsibilities

• Support delivery of analytics for a specific clinical trial, contributing to feasibility, forecasting, and operational planning
• Execute structured analytics tasks using established tools, templates, and inputs under the guidance of senior team members
• Gain exposure to trial protocols and therapeutic area logic, developing domain knowledge over time
• Deliver high-quality, timely analytics outputs (e.g., site tiering, enrollment dashboards, patient population sizing)
• Collaborate with a global, cross-functional team, aligning with peers in different time zones and geographies
• Grow your skills across analytical, scientific, and strategic domains through active participation in delivery and internal capability-building
• 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 (e.g., MSc, MPH, PharmD, PhD, MBA) in a relevant field
• Experience:
  • 0–3+ years of experience in consulting, analytics, clinical research, or healthcare strategy
  • Prior academic or internship exposure to clinical trial data or healthcare analytics is a plus
• Skills:
  • Strong analytical mindset and attention to detail
  • Proficiency in Excel and PowerPoint
  • Strong written and verbal communication skills
  • Curiosity, initiative, and a willingness to learn quickly in a collaborative team environment

Why Join This Team?

• Learn by Doing: Contribute directly to global clinical trials and build real-world experience from day one
• Grow with Purpose: Develop the analytical and scientific capabilities needed to progress within TAIP
• Work in a Consulting-Style Team: Join a dynamic, project-based environment modeled after top-tier strategy firms
• Advance Through a Structured Career Ladder: Follow a transparent growth path with ~2–3 years at each level—designed to build toward strategic leadership roles within TAIP and across BMS
• Accelerate Therapies to Patients: Help bring life-changing treatments to patients through data-driven decision support