Summer Intern - AI Computational Biologist

Remote Full-time
Insmed is a global biopharmaceutical company dedicated to transforming the lives of patients with serious and rare diseases. They are seeking a Summer Intern - AI Computational Biologist to help design, analyze, and interpret biological datasets using computational methods, while supporting the development and application of AI/ML models for 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 BioSpace is the leading online community for industry news and careers for life science professionals. It was founded in 1988, and is headquartered in San Francisco, California, USA, with a workforce of 11-50 employees. Its website is Company H1B Sponsorship BioSpace has a track record of offering H1B sponsorships, with 2 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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