Summer Intern - AI Computational Biologist

Remote Full-time
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 Insmed is a people-first global biopharmaceutical company striving to deliver first- and best-in-class therapies to transform the lives of patients facing serious diseases. It was founded in 1988, and is headquartered in Bridgewater, New Jersey, USA, with a workforce of 1001-5000 employees. Its website is Company H1B Sponsorship Insmed Incorporated has a track record of offering H1B sponsorships, with 20 in 2025, 6 in 2024, 14 in 2023, 8 in 2022, 1 in 2021, 5 in 2020. Please note that this does not guarantee sponsorship for this specific role.
Apply Now

Similar Opportunities

Machine Learning Engineer Intern

Remote

iOS Software Engineer

Remote

Accounting Technician, Assurance & Accounting - China Services

Remote

Population Health Intern

Remote

Travel EP Tech / EP Lab Tech

Remote

Associate Sales Consultant

Remote

[Remote] Student Researcher [Seed LLM Horizon – Async Agent & Proactive Agent] - 2026 Start (PhD)

Remote

[Remote] Business Immigration Consultant (Fluent in Japanese - Remote)

Remote

[Remote] Remote Life Insurance Agent

Remote

[Remote] Remote Premium Auditors

Remote

**Experienced Virtual Receptionist and Data Entry Clerk – Remote Work Opportunity at arenaflex**

Remote

Experienced Part-Time Remote Customer Service Representative – Delivering Exceptional Support and Driving Customer Satisfaction

Remote

Manager, Regulatory Quality Systems

Remote

Experienced Chat Support Agent for Innovative Gig Staffing Platform – Remote Opportunity with Competitive Hourly Rate

Remote

**Experienced Order Processing Information/ Data Entry Specialist – Customer Service Support**

Remote

Experienced Customer Support Representative – Delivering Exceptional Service in a Fast-Paced, Fully Remote Environment for a Leading Insurance Billing Platform

Remote

Experienced Full-Time Remote Customer Service Specialist – Delivering Exceptional Support and Driving Success in a Dynamic Environment

Remote

Account Executive - Large Enterprise - Customer Base

Remote

Experienced Customer Experience Specialist for 2nd and 3rd Shifts – Delivering Exceptional Patient Experiences through Remote Work Opportunities

Remote

Experienced Part-time Remote Customer Service Representative – Inbound Calls, Customer Relationship Management, and Problem-Solving

Remote
← Back to Home