Bristol Myers Squibb (BMS) is looking to solve the problem of efficiently managing and analyzing scientific data to accelerate drug discovery and development. This involves building, deploying, and enhancing innovative scientific data management and analytical platforms, leveraging modern cloud-based technologies and advancements in Large Language Models (LLMs).
Requirements
- Experience building and maintaining cloud-native applications using core AWS services such as IAM, S3, Athena, Glue, Batch, Lambda, Fargate, API Gateway, Bedrock, etc.
- Advanced proficiency with Python, SQL, R, database design, and at least one front end development framework (React, Angular, Streamlit, or similar).
- Experience with large-scale scientific systems design and integration patterns, including mapping use cases to best practice architectural and integration patterns.
- Ability to deliver performance evaluations, benchmarking, and troubleshooting of AI or LLM-based applications.
- Familiarity with containerization approaches, agile methodologies, and cloud-native development patterns.
- Experience building or enhancing a laboratory informatics system (LIMS), specifically in a research or drug development context.
- Ability to explore and pilot innovative technology solutions, including LLM technologies.
Responsibilities
- Collaboratively develop new data engineering approaches to accelerate data discovery, delivery and analysis, including the use of LLMs.
- Provide thought leadership on emerging LLM and AI models and capabilities and drive experimentation in service to BMS use cases.
- Evaluate third party data engineering and LLM solutions and manage vendor contracts.
- Collaborate closely with IT to perform risk assessments on new or existing cloud architectures and vendor solutions to identify cost, scalability, or any other infrastructure management concerns.
- Provide guidance to development teams on the appropriate selection of programming languages, evaluation frameworks, security and testing methodologies, and system scalability strategies.
- Provide oversight and guidance regarding regulatory requirements for custom developed, commercial and/or open-source systems, including 21 CFR Part 11, HIPAA, GDPR, GxP, etc.
- Experience building and maintaining cloud-native applications using core AWS services such as IAM, S3, Athena, Glue, Batch, Lambda, Fargate, API Gateway, Bedrock, etc.
Other
- Director of Research Engineering is a service-oriented, forward-thinking team leader who is responsible for overseeing a team engaged in the collaborative design, development and implementation of scientific use-case driven, experimental, innovative, scientific data management and analytical platforms, within the Informatics and Predictive Sciences (IPS) department at Bristol Myers Squibb (BMS).
- This position oversees work performed within the Research Engineering team that works closely with scientific subject matter experts, product and program managers, and Research and Enterprise IT teams to ensure that architectural design, resourcing, product development and delivery align with business objectives, scientific needs, and technical best practices.
- Collaborate with Research leadership to ensure clear communication, tracking and delivery of shared Research objectives.
- Ensure that staffing objectives are met through onboarding and mentorship for Research Engineering full-time talent, as well as oversight of consulting resources across multiple vendors.
- Participate in organizational budget planning and management and provide leadership for budgeting decisions for Research Engineering.
