Real World Data Analyst II

Job Summary

At Bristol Myers Squibb, our employees often ask, Who are you working for -a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.

At BMS, digital innovation and Information Technology are central to our vision of transforming patients lives through science. To accelerate our ability to serve patients around the world, we must unleash the power of technology. We are committed to being at the forefront of transforming the way medicine is made and delivered by harnessing the power of computer and data science, artificial intelligence, and other technologies to promote scientific discovery, faster decision making, and enhanced patient care.

If you want an exciting and rewarding career that is meaningful, consider joining our diverse team! As an RD BIT RWD Analyst II based out of our BMS Hyderabad you are part of the Portfolio and Strategy Operations Real-World Data Strategy and Operations team that delivers data and analytics capabilities for Research and Development functions. The ideal candidate will have a strong background in RWD functional domain, data engineering and reporting operations and will be comfortable working with both structured and unstructured data. The role involves working with cross-functional teams to ensure that solutions are delivered on time and within budget.

Key Responsibilities

• Collaborate with cross-functional teams, including researchers, clinicians, market access and regulatory stakeholders, to understand data and platform needs and objectives for RWD analysis
• Identify relevant real-world data from various sources, such as electronic health records (EHRs), claims databases, registries and other healthcare databases
• Clean, transform, and preprocess real-world data to ensure data quality, consistency, and compatibility for analysis and downstream consumption
• Apply appropriate techniques to analyze real-world data and generate insights on research questions or business objectives.
• Oversee and conduct observational studies, comparative effectiveness research (CER), patient outcomes research and other types of RWD analysis to evaluate treatment outcomes, safety profiles, and healthcare utilization patterns
• Interpret and communicate findings from RWD analysis through reports, presentations and visualizations to stakeholders
• Collaborate across BMS to design RWD studies, including protocol development, data collection and analysis
• Stay updated and compliant with the regulatory landscape related to real-world data analysis
• Accountability of RWD strategies and best practices within BMS
• Train, guide and mentor junior team members and business stakeholders as required

Qualifications Experience

• Bachelors or Masters degree in a relevant field, such as Biostatistics, Epidemiology, Health Informatics, or a related discipline
• Proven experience (typically 5+ years) in real-world data, platforms and analysis, within the biopharma or healthcare industry is a must
• Experience with Python, R or SAS, Domino and data visualization tools, such as Tableau and Power BI, is a must
• Strong understanding of real-world data sources, such as electronic health records (EHR), claims databases, registries and other healthcare databases is a must
• Proficiency in data pre-processing, cleaning and transformation techniques to ensure data quality and compatibility for analysis is a must
• Understanding data pipelines and operations for RWD is a must
• Understanding of regulatory requirements and guidelines related to real-world data use, such as FDAs Real-World Evidence Program or similar initiatives
• Should have strong inclination to automate tasks and highlight avenues for cost optimization
• Working knowledge, inclination and ability to learn and implement new tools and AI use cases is preferred
• Familiarity with methodologies and study designs used in real-world data analysis is preferred
• Excellent problem-solving skills and the ability to derive meaningful insights from complex real-world data sets
• Excellent communication and presentation skills to effectively convey complex concepts and findings
• Ability to work collaboratively in cross-functional teams and manage multiple projects simultaneously
• Strong attention to detail and accuracy in data analysis and interpretation