Summer Intern - AI Computational Biologist
We're looking for a Summer Intern - Summer Intern - AI Computational Biologist on the Information Technology to help us expand what's possible for patients with serious diseases. In this role, you'll be reporting to the Director, IT Emerging Technologies. The Insmed Summer Internship Program is designed to give you more than just a glimpse into the pharmaceutical industry-it's a chance to make a real impact. Over the course of the summer, you'll gain hands-on experience, contribute to meaningful team projects, and learn directly from skilled professionals who are invested in your growth. The Insmed Summer Internship Program gives students an opportunity to gain hands-on experience in a corporate environment in the pharmaceutical industry, receive mentoring from highly skilled professionals, and work on dynamic team projects. Our 2026 Summer Intern program is a full-time (40 hours per week), paid internship. The internship may present opportunities for rotational assignments within the function, and the intern will be assigned goals and objectives that will support the strategic business plan of the company. What You'll Do: In this role, you'll have the opportunity to help design, analyze, and interpret biological datasets using computational methods, while also supporting the development and application of AI/ML models to accelerate discovery in areas like drug development, genomics, and rare disease research. This position is ideal for someone who understands both biological context and machine learning frameworks, and can translate between the two domains - helping to bridge scientists, data engineers, and AI researchers. You'll also:
- Data Integration & Curation: Collect, clean, and harmonize multi-omics, clinical, or experimental datasets for downstream analysis and model training.
- Computational Analysis: Perform statistical and computational analyses on biological data (e.g., gene expression, proteomics, pathway enrichment, or molecular interaction networks).
- AI/ML Collaboration: Work with AI scientists to prepare biologically meaningful datasets for machine learning workflows (feature engineering, embeddings, annotations).
- Model Development Support: Assist in building or evaluating predictive models for target discovery, biomarker identification, or patient stratification.
- Pipeline Automation: Implement and document reproducible pipelines for biological data processing using Python or R.
- Cross-Disciplinary Communication: Translate biological insights into computational terms and interpret model outputs back into biological context.
- Literature Mining: Use NLP tools or APIs to extract biological or clinical insights from publications and databases.
- Programming: Proficiency in Python or R (experience with pandas, NumPy, scikit-learn, or Bioconductor).
- Data Science: Familiarity with machine learning libraries (e.g., PyTorch, TensorFlow, or XGBoost).
- Bioinformatics Tools: Experience with data formats and tools such as FASTA/FASTQ, GSEA, Ensembl, UniProt, or GEO.
- Data Visualization: Skills with matplotlib, seaborn, ggplot2, or Plotly.
- Knowledge of cloud computing environments (GCP, AWS, or Azure).
- Experience using SQL or Graph databases (Neo4j, RDF).
- Version Control: Familiarity with Git/GitHub workflows.
- Coursework or experience in molecular biology, genomics, AI.
- Exposure to foundation models (LLMs, protein language models, multimodal biomedical models).
- Strong analytical thinking and curiosity for both computational and biological questions.
- Interest or experience in rare diseases, drug repurposing, or AI-driven biomedical discovery.
$20.00-35.00 Hourly Life at Insmed At Insmed, you'll find a culture as human as our mission-intentionally designed for the people behind it. Our internship program reflects that commitment by supporting how you learn, grow, and show up each day while contributing to work that matters. Our internship offerings include:
- Paid company holidays
- Hands-on learning in real-world projects
- Networking opportunities with leaders and social events with your peers
- Mentorship and professional development
- A final presentation to celebrate your contributions
- Access to office amenities for those who are not remote
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