Data Science / AI Intern - Literature Mining & Graph Modeling 🎓

AstraZeneca is seeking Master’s and PhD students studying Biology, Computer Science, Chemistry, Physics, Engineering, Biomedical Science, Pharmacology, Data Science, Bioinformatics, or a related discipline for a 10-week internship role at our site in Waltham, MA from June 01, 2026- August 07, 2026. This internship sits at the intersection of data engineering, biomedical NLP, and translational science, enabling faster insight generation for R&D teams.

Position Description:

• Build an end-to-end pipeline turning literature (papers, abstracts, patents) into a standardized knowledge graph with contextualized evidence.

• Handle source selection, inclusion/exclusion criteria, updates, and data snapshots.

• Develop NLP for entity recognition, relation extraction, assertion detection, and context tagging (drug, indication, resistance, biomarker, outcome).

• Encode domain relations (e.g., Drug–mechanism→Gene/Pathway; Biomarker–modulates→Outcome; ADC–targets→Antigen).

• Map entities to controlled vocabularies; manage synonyms, disambiguation, and canonical IDs.

• Implement edge-level confidence scoring (source quality, claim type, co-occurrence, citations, model certainty) with full evidence provenance.

• Build graph storage (property graph or RDF) and queryable APIs.

• Deliver interactive visualization (UI or notebook) with filters, context toggles, and evidence drill-down.

• Define metrics, run error analyses, and validate with scientific stakeholders.

• Ensure reproducibility and documentation: version models/data; record architecture, assumptions, benchmarks; provide user guides.

• Present outcomes to data science, oncology, and translational medicine teams.

Position Requirements:

• Master’s and PhD students studying Biology, Computer Science, Chemistry, Physics, Engineering, Biomedical Science, Pharmacology, Data Science, Bioinformatics, or a related discipline.

• Candidates must have an expected graduation date after August 2026.

• US Work Authorization is required at time of application.

• This role will not be providing OPT support.

• NLP and ML: NER, relation extraction, transformers; Python-based workflows.

• Graph/data modeling: experience with Neo4j, NetworkX, or RDF/SPARQL.

• Domain knowledge: genes, pathways, biomarkers, therapeutic modalities (incl. ADCs) preferred.

• Reproducibility: version control, environment management, documentation.

• Soft skills: problem-solving, communication, collaboration.

• Tech stack: Python (spaCy, Hugging Face), scikit-learn; PyTorch or TensorFlow.

• Data & viz: pandas; PySpark or Dask; Plotly/Dash, D3.js, Neo4j Bloom.

• Dev practices: Git, Conda/Poetry, Docker, experiment tracking.

• Ability to report onsite to Waltham, MA site 3-5 days per week.

• This role will not provide relocation assistance.

• Compensation range: $41-$48 per hour