Summer 2026 - Research Engineering Internship

Role Summary

Summer internship in the Research Engineering (RE) group within the Informatics and Predictive Sciences (IPS) group at Bristol Myers Squibb. The program is for upper-level undergraduate or graduate students seeking summer opportunities to learn, grow, and collaborate with others across disciplines. The RE group enables and accelerates research analytics through collaborative development of computational data processing, integration, and dissemination platforms, with a focus on applying generative AI, large language models, and AI agents to translational research use cases. The internship will provide exposure to the drug development process and opportunities to network with colleagues across multiple disciplines. The internship duration is June to August 2026.

Responsibilities

• The Summer intern will focus on applying generative AI, large language models, and agentic frameworks to solve practical problems in translational research and drug development at BMS.
• Projects involve building intelligent tools and systems to enhance data accessibility, streamline exploratory analysis, and facilitate integration and quality across core R&D datasets.
• Project assignments will be tailored to align with the intern's background and interests to ensure a meaningful impact.

Qualifications

• Rising Junior and above undergraduate or M.S. or Ph.D. graduate student in Bioinformatics, Computer Science or related field; no work experience required.
• Fluency with Linux-based high-performance computing environments, including Python, Linux shell scripting, R, SSH and git.
• Strong programming background in Python.
• Knowledge of and experience applying generative AI and LLM technologies to practical problems; e.g., development of AI-powered chatbots is a plus.
• Familiarity with AI agent frameworks (e.g., LangGraph, CrewAI, AgentCore, AWS Bedrock Agents) and MCP servers is a plus.
• Web development experience and experience working with AWS technologies such as EC2, Beanstalk, S3, and Bedrock is a plus.
• Strong problem-solving and collaboration skills, and rigorous and creative thinking.
• Excellent written and oral communication skills, including the ability to explain complex ideas to computational scientists, experimentalists, and clinicians.
• The ability to collaborate with diverse groups across the organization and solve problems that will benefit downstream analysts and decision-making teams.
• All candidates must be authorized to work in the US for the duration of the internship; immigration or visa sponsorship is not available.