Run research where the clinical data already lives
Run your own analyses. Validate models. Generate real-world evidence. Evaluate clinical trial feasibility. Identify patients for recruitment.
Use the same source-connected infrastructure without rebuilding the data relationship for every new research need.
A source-connected healthcare research network for pharma, biotech, AI developers, CROs, researchers, health systems, and specialty practices.
One source-connected network.
Multiple ways to use it.
Tamarin lets researchers run approved computation against source-connected healthcare data for retrospective research, model validation, real-world evidence, and clinical trials.
Research & Model Validation
Bring Your Own Code and run custom Python analyses and validate proprietary models against clinical populations without acquiring the underlying patient-level dataset.
Explore Bring Your Own Code →
Trial Feasibility & Site Discovery
Turn protocol criteria into executable queries to evaluate patient populations, size cohorts, and identify promising clinical trial sites.
Explore Trial Feasibility and Site Discovery →
Clinical Trial Enablement
Use the same source-connected network to support patient identification, site-controlled recruitment, and study-specific analyses.
Explore Clinical Trial Enablement →
Built for both sides of healthcare research.
For Researchers
Get closer to the source. Bring a research question, protocol, or your own Python code. Tamarin helps connect you with relevant clinical data and participating healthcare organizations.
Run retrospective analyses
Validate proprietary models
Generate real-world evidence
Evaluate trial feasibility
Identify potential sites and patient populations
For Healthcare Organizations
Participate in paid research and clinical studies while maintaining control over your data and deciding which opportunities you accept.
Paid data analyses
External model validation
Real-world evidence studies
Clinical trial feasibility
Sponsored clinical trial opportunities
No cost to join the network.
Research Areas
Research demand doesn’t fit neatly into a static data catalog.
Tamarin builds research capacity around the questions researchers are actually trying to answer.
We are currently active in:
Women’s & Reproductive Health
Longitudinal reproductive aging, ovarian reserve, menstrual health, menopause, and related women’s health research.
Fertility & IVF
Fertility treatment, IVF outcomes, model validation, retrospective research, and prospective clinical studies.
Ophthalmology & Glaucoma
Model validation, longitudinal glaucoma research, treatment analysis, clinical trial feasibility, and recruitment.
Metabolic, Hormone & Wellness
Weight management, hormone care, outpatient treatments, longitudinal patient journeys, and clinical research opportunities.
Looking for something else?
Tell us the population or data you need. Tamarin can work with existing partners and source additional healthcare organizations for specific funded studies.
A different model for healthcare research
Data is licensed or moved
Healthcare organizations physically hand over their data
Research is constrained by the available dataset
The source organization is separated from downstream research
Clinical trial recruitment becomes a separate workflow
Traditional data access
Query moves
Healthcare organizations maintain physical ownership of their data
Researchers can bring custom Python analyses
The same network can support retrospective and prospective research and recruitment
Data Owners decide which projects they participate in
Tamarin
The query moves. The data doesn’t.
Researcher submits an analysis or protocol
Python code, model, research question, or eligibility criteria.
It runs against approved data at the source
Participating healthcare organizations maintain control over their data.
Research moves forward.
Researchers receive approved results. For clinical trials, participating sites can use eligible patient populations to support recruitment.
Built on breakthrough privacy-preserving technology.
Tamarin’s technology was generously funded by the National Science Foundation and is designed to enable research collaboration without making permanent patient-level data transfers the default.
This recognition underscores both the novelty of our approach and the strength of our team.