Working with Us
Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: .
We are seeking a Senior Data Engineer to design, develop and support a variety of internally developed applications, tools and platforms focused on research data management. This will include Enterprise Data Lake, research data repositories, data ingestion tools, data quality frameworks and technologies that include for example AWS EC2, AWS API Gateway, AWS Lambdas, AWS Glue, S3, RDS, Data Zone, Data Bricks, Apache Spark, and Python.
The candidate will provide leadership and oversight to ongoing Data Operations activities focused on onboarding external labs and integrating biomarker datasets with data lake and other clinical systems.
The candidate will influence ongoing data management processes with automations fueled by AI/ML, utilizing GenAI, Agentic AI and emerging LLM models. The candidate will lead development of productivity tools used by the data operations team including AI based ETL pipeline generation, AI driven data quality assessment of externally acquired datasets as well development of data products for efficient distribution of commonly used research datasets.
The candidate will design and develop data pipelines, implement necessary integration work, and will manage electronic data collection and access, all in accordance with BMS policies and project expectations. The scope of work includes development and testing data pipelines, metadata management, lifecycle management, data quality assurance, data management (parsing, transformations, extraction), data enrichment through scripting, as well as contributing to solution design.
This role requires innovative thinking to identify automation opportunities to improve productivity of various data management and data governance processes. The candidate will be an integral part of a small team focusing exclusively on Research scientific data and will contribute to the Research portfolio of projects.
Key Responsibilities
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