AI Research Engineering Intern – Translational Genomics & Multi-Omic Data Platforms – Translational Genomics, Multi-Omic Data

Job Description

AI Research Engineering Intern – Translational Genomics & Multi-Omic Data Platforms | Multiple Myeloma Research Foundation – MMRF

The Tone:
This is an internship at the Multiple Myeloma Research Foundation (MMRF), located remotely. The MMRF is a nonprofit organization dedicated to accelerating a cure for multiple myeloma, leveraging data and driving the development of next-generation therapies. This role is crucial for advancing health equity by introducing AI applications to the Virtual Lab platform, enhancing capabilities for scientists to explore and analyze large-scale genomic and clinical datasets. The intern’s contributions will directly support the mission of improving patient outcomes and accelerating research discoveries.

The TL;DR
• Role: Internship
• Location: Remote

• Team: Translational Research engineering team, reports to Director of Translational Research
• Mission: Prototype an AI-assisted research interface within the Virtual Lab platform to enable intuitive natural language exploration of large-scale patient-derived clinical and multi-omic cancer datasets.
• Tech Stack: Gen3 data commons framework, AWS, Python, Git, Docker, LLMs, RAG, platform APIs, cloud-native analytical workflows

What You’ll Actually Do
• Project Engagement: Engage with a project focused on introducing AI applications to the Virtual Lab platform.
• Platform Enhancement: Work directly with the Translational Research engineering team to enhance the platform and prototype new analytical capabilities.
• Technical Expansion: Expand the technical foundation that supports large-scale biomedical data analysis within the platform.
• AI Integration: Explore the integration of large language models (LLMs), retrieval-augmented generation (RAG), platform APIs, and cloud-native analytical workflows.
• Prototype Delivery: Deliver a prototype AI-assisted research interface that demonstrates natural language-driven exploratory analysis capabilities within the MMRF Virtual Lab platform.

The Must-Haves
• Background: Currently pursuing a Master’s or PhD in Computer Science, Software Engineering, Data Science, Computational Biology, or a related technical discipline.
• Experience: 3+ years of strong programming ability in Python or another modern programming language; 1-2 years of experience with cloud computing environments (e.g., AWS, GCP, Azure) and containerization (Docker).
• Skills: Familiarity with software engineering best practices and version control systems (e.g., Git); strong problem-solving ability; intellectual curiosity and interest in applying technology to advance biomedical research.
• Bonus: Exposure to data analysis, scientific computing, or machine learning tools; familiarity with genomics, bioinformatics workflows, biomedical datasets, or research software development; experience building APIs or data visualization tools.