CMC Data & AI Summer Intern

Disc Medicine is a clinical-stage biopharmaceutical company committed to discovering, developing, and commercializing novel treatments for patients who suffer from serious hematologic diseases. We are building a portfolio of innovative, first-in-class therapeutic candidates that aim to address a wide spectrum of hematologic diseases by targeting fundamental biological pathways of red blood cell biology, specifically heme biosynthesis and iron homeostasis. Disc Medicine values collaboration, professional development, and scientific integrity and promotes an inclusive company culture that empowers and inspires.

We are seeking a highly motivated intern to support the application of data science and AI tools within CMC Drug Substance Technical Operations. The intern will work alongside process development, manufacturing, and quality teams to develop AI‑enabled decision‑support tools that improve knowledge access, trend identification, and scientific insight.

This role is focused on responsible, explainable AI in a regulated biopharmaceutical environment.

• →Analyze structured and unstructured CMC data (development reports, batch data, stability data)
• →Develop AI‑enabled tools for:
  • →Knowledge retrieval and synthesis
  • →Process trend and drift detection
  • →Pattern recognition in deviations or investigations
• →Translate scientific and process problems into data‑driven approaches
• →Build and document prototypes using Python and standard data science libraries
• →Partner with DS, DP, and Quality SMEs to validate outputs

• Currently pursuing a degree in:
  • Chemical Engineering
  • Biochemical Engineering
  • Biotechnology
  • Data Science
  • Applied Statistics or related field
• Working knowledge of:
  • Python (pandas, numpy, basic visualization)
  • Data analysis concepts
• Strong analytical and problem‑solving skills
• Ability to understand and work within regulated environments
• Excellent written and verbal communication skills

• Exposure to:
  • Biopharmaceutical manufacturing or development
  • Statistics or machine learning coursework
  • Natural language processing (NLP)
• Experience with:
  • Jupyter notebooks
  • Data visualization libraries
• Interest in AI governance, traceability, and explainability

• Hands‑on experience applying AI in real‑world CMC settings
• Exposure to Drug Substance and Drug Product development
• Understanding of Quality and regulatory expectations for AI
• Opportunity to deliver a visible, high‑impact project