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: .
Software Engineer, Data Capability Group
BMS Hyderabad is an integrated global hub where our work is focused on helping patients prevail over serious diseases by building sustainable and innovative solutions. This important science, technology, and innovation center will support a range of technology and drug development activities that will help us usher in the next wave of innovation.
Purpose
We are seeking a highly motivated Software 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 Data Zone, AWS Services like Lambda, S3, RDS, deployment processes with CFTs, Apache Spark, Hive and Python. The candidate will contribute to ongoing data management processes with automations fueled by AI/ML, utilizing GenAI, Agentic AI and emerging LLM models.
The candidate will develop and support 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 opportunities for leveraging GenAI for all aspects of SDLC to improve productivity. 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.
Experience & Qualifications
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