Data analyst jobs in Los Angeles, CA

About the role

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 R&D BI&T 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. Where you work matters – because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities. Learn more at https://careers.bms.com/ways-of-working.

What you'll bring

• Bachelor's or Master's 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 FDA's Real-World Evidence Program or similar initiatives
• Should have strong inclination to automate tasks and highlight avenues for cost optimization
• 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

Locations