Summer Intern - AI Computational Biologist
Insmed Incorporated is a global biopharmaceutical company dedicated to transforming the lives of patients with serious and rare diseases. The Summer Intern - AI Computational Biologist will help design, analyze, and interpret biological datasets using computational methods while supporting the development and application of AI/ML models to accelerate discovery in drug development and rare disease research.
Responsibilities
- Collect, clean, and harmonize multi-omics, clinical, or experimental datasets for downstream analysis and model training
- Perform statistical and computational analyses on biological data (e.g., gene expression, proteomics, pathway enrichment, or molecular interaction networks)
- Work with AI scientists to prepare biologically meaningful datasets for machine learning workflows (feature engineering, embeddings, annotations)
- Assist in building or evaluating predictive models for target discovery, biomarker identification, or patient stratification
- Implement and document reproducible pipelines for biological data processing using Python or R
- Translate biological insights into computational terms and interpret model outputs back into biological context
- Use NLP tools or APIs to extract biological or clinical insights from publications and databases
Skills
- Current student working on a Master's or PhD degree in Computational Biology, Bioinformatics, Data Science, Computer Science, Biostatistics, Systems Biology, or related field
- Proficiency in Python or R (experience with pandas, NumPy, scikit-learn, or Bioconductor)
- Familiarity with machine learning libraries (e.g., PyTorch, TensorFlow, or XGBoost)
- Experience with data formats and tools such as FASTA/FASTQ, GSEA, Ensembl, UniProt, or GEO
- Skills with matplotlib, seaborn, ggplot2, or Plotly
- Knowledge of cloud computing environments (GCP, AWS, or Azure)
- Experience using SQL or Graph databases (Neo4j, RDF)
- 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
Benefits
- 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
Company Overview
Company H1B Sponsorship