At Insmed, every moment and every patient counts — and so does every person who joins in. As a global biopharmaceutical company dedicated to transforming the lives of patients with serious and rare diseases, you’ll be part of a community that prioritizes the human experience, celebrates curiosity, and values every person’s contributions to meaningful progress. That commitment has earned us recognition as Science magazine’s No. 1 Top Employer for four consecutive years, certification as a Great Place to Work® in the U.S., and a place on The Sunday Times Best Places to Work list in the UK.
For patients, for each other, and for the future of science, we’re in. Are you?
About the RoleWe’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.
Who You Are
You are a current student working on a Master’s or PhD degree in Computational Biology, Bioinformatics, Data Science, Computer Science, Biostatistics, Systems Biology, or related field.
You are or you have:
- 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.
Nice to have (but not required)
- 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.
Where You’ll Work
This is a hybrid role based out of our Bridgewater, NJ office. You’ll work remotely most of the time, with in-person collaboration when it matters most.
Pay Range$20.00-35.00 HourlyLife 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
Insmed Incorporated is an Equal Opportunity employer. We do not discriminate in hiring on the basis of physical or mental disability, protected veteran status, or any other characteristic protected by federal, state, or local law. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
Unsolicited resumes from agencies should not be forwarded to Insmed. Insmed will not be responsible for any fees arising from the use of resumes through this source. Insmed will only pay a fee to agencies if a formal agreement between Insmed and the agency has been established. The Human Resources department is responsible for all recruitment activities; please contact us directly to be considered for a formal agreement.
Insmed is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, please contact us by email at TotalRewards@insmed.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
Applications are accepted for 5 calendar days from the date posted or until the position is filled.