SOLUTIONS
One foundation. Built for the way you research.
From pharma R&D to academic medical centers to research institutions, the same DataJoint foundation codifies the scientific work that produces every result. Different audiences, different stakes, same architecture underneath.
Pharma R&D
Commercial
Academic Medical Centers
Translational
Research Institutions
Discovery
Adjacent Industries
Beyond
THE FOUNDATION ACROSS R&D.
Four sectors. Same science holds up across all of them.
The science gets harder. The foundation doesn’t. Whether you’re driving a pharma program, running translational research, advancing fundamental science, or solving R&D problems beyond life sciences, the same architecture holds up underneath.
Solutions For
Pharma R&D
From target identification through manufacturing, DataJoint codifies the scientific work behind every program. The lifecycle stays on one foundation, discovery to design, imaging to manufacturing, so the science holds up at every decision gate.
Built for 21 CFR, SOC 2 Type II, HIPAA, GDPR, and GxP-ready deployment patterns.
01
Discovery & Disease Understanding
Target identification, disease biology research, and multi-omics analysis are the first questions of any R&D program.
DataJoint codifies these foundational experiments, so the hypothesis, the data, and the analysis travel together into every downstream program.
WHAT DATAJOINT POWERS HERE
Human Disease Biology Research
Codified experimental design for translational studies across patient cohorts and disease models.
Discovery Biology & Target Validation
Reproducible target identification pipelines with full lineage from hypothesis to validated candidate.
Integrated Multi-Omics Analysis
Transcriptomics, proteomics, single-cell, and spatial data unified on one foundation with full provenance.
PROOF POINT
Active pilots at top-10 pharma in immunology, codifying flow cytometry and MSD workflows end-to-end across discovery programs.
02
Design, Build & Engineer
Biotherapeutic design, molecular engineering, and cell engineering produce iterative cycles of experimental work.
DataJoint codifies each Design-Build-Test-Learn cycle so the next iteration starts where the last one ended, not from scratch.
WHAT DATAJOINT POWERS HERE
Biotherapeutic Discovery & Optimization
Antibody design pipelines, molecular property optimization, and lead candidate selection with full reproducibility.
Molecular Design-Build-Test-Learn (DBTL)
Every DBTL cycle codified as reusable experimental workflows. The next iteration builds on the last.
Cell Engineering
iPSC differentiation, organoid generation, and synthetic biology workflows with versioned protocols and parameter tracking.
PROOF POINT
Cell engineering pipelines that previously took months to reproduce across teams now run as forkable, versioned workflows, shared across sites and CRO partners with zero rebuild.
03
Imaging, Phenotyping & AI
Multimodal imaging and high-content phenotypic data are where most R&D programs accumulate the largest volume and the messiest provenance.
DataJoint codifies these pipelines so imaging analyses are rerunnable, comparable across cohorts, and trustworthy as AI training inputs.
WHAT DATAJOINT POWERS HERE
Multimodal Analytic Pipelines
Time-aligned integration of imaging, omics, functional assays, and phenotypic data into one coherent scientific record.
High-Content Imaging & Phenotypic Screening
AI-enabled image analysis with traceable training data, parameters, and lineage. Audit-ready by default.
Oncology Tumor Microenvironment Mapping
Multimodal spatial omics, imaging, and immune profiling across oncology cohorts, codified end-to-end.
PROOF POINT
Proven on petabyte-scale connectomics imaging at MICrONS, the $100M Apollo Project for the Brain, published in Nature with 16 peer-reviewed papers.
04
Manufacturing, Quality & Governance
Manufacturing readiness and regulatory submission demand the same scientific rigor as discovery, with the added requirement of provable lineage.
DataJoint codifies the science that feeds bioprocess decisions, QC analytics, and AI model governance, turning the audit from a fire drill into a query.
WHAT DATAJOINT POWERS HERE
Bioprocess Development & Scale-Up
Process parameters, sensor data, and yield analytics codified across scale-up runs. Decisions defensible to manufacturing review.
Product Quality Control & Release Analytics
QC pipelines with full provenance from raw analytics through release decisions. ALCOA+ aligned, GxP ready.
AI Model Governance & Regulatory Readiness
Every AI model traceable to its training data, parameters, and code version. 21 CFR aligned for regulatory submission.
PROOF POINT
Built for 21 CFR, SOC 2 Type II, HIPAA, GDPR, and GxP-ready deployment patterns. Audit-ready provenance is structural, not bolted on.
Gold Standard Science, By Policy And Design
Reproducibility and transparency are the first two pillars of the new US policy on the conduct and management of scientific activities.
Executive Order, Restoring Gold Standard Science § 3(a)(i)-(ii), May 23, 2025
Read the Executive Order →From the Lab
Trusted by the researchers running the science.
Real labs. Real work. Real outcomes.
I am really happy with DataJoint support. We've tested our pipelines with real data, and my lab can take it from here.
With DataJoint, we save months of compute time. Without DataJoint, some of our experiments are not even doable.
There's more willingness today to do the work for better data management and sharing, far more than four years ago. We need to be clear to the NIH that we're serious about that.
It's not easy to jump on someone else's experiment. When a student leaves the lab, it takes many meetings and calls to locate and make sense of the code and the data they left behind. With DataJoint, we are building a process where the data and code are managed jointly and readily understood by everyone else in the lab.
We are biologists, not IT professionals. A lot of scientists like us are struggling with this kind of data.
Solutions For
Academic Medical Centers
Translational research between bench and bedside demands rigorous reproducibility, multi-site coordination, and regulatory-aligned governance.
DataJoint codifies the experimental work so translational findings move forward with defensible evidence at every stage.
Explore solutions for AMCs →WHAT DATAJOINT POWERS HERE
Translational Research Pipelines
Codified protocols bridging preclinical research to clinical workflows, with full lineage preserved.
Multi-Site Coordination
Versioned pipelines shared across academic sites and clinical partners with identical reproducibility.
Regulatory-Aligned Governance
21 CFR, ALCOA+ aligned workflows for translational and clinical work.
PROOF POINT
Active programs at top-tier academic medical centers supporting translational research across imaging, omics, and multimodal data pipelines.
Solutions For
Research Institutions
University labs, NIH-funded programs, and multi-institutional consortia produce the most complex scientific work in the world.
DataJoint was built inside this environment and remains the foundation modern research institutions trust for reproducibility at scale.
Explore solutions for research institutions →WHAT DATAJOINT POWERS HERE
Fundamental Research Pipelines
Reusable, peer-reviewable workflows for electrophysiology, calcium imaging, behavioral analysis, and more.
Consortium Collaboration
Forkable pipelines and shared schemas across multi-institutional research programs. Built for NIH-scale collaboration.
Publication-Ready Provenance
Complete lineage from raw data to published finding. Defensible to peer reviewers, funders, and your future self.
PROOF POINT
Proven across 100+ labs at MICrONS, BRAIN Initiative, Allen Institute, and leading research universities, published in Nature with 16 peer-reviewed papers and 3,000+ citations.
Solutions For
Adjacent Industries
The same codification problem extends beyond life sciences. R&D environments that depend on multimodal data, computational reproducibility, and defensible decisions, wherever they are, face the upstream challenge DataJoint solves.
Oil & Gas
Exploration data, reservoir modeling, and reproducible analytics for upstream decisions.
Utilities
Grid analytics, sensor networks, and AI-ready data for energy and water operations.
Materials Science
Multimodal characterization, formulation experiments, and chemistry workflows codified end-to-end.
Semiconductor R&D
Process development, fabrication analytics, and yield optimization with full experimental lineage.
Exploring DataJoint for a research environment we haven’t named here? We’d like to hear from you.
Start a conversation →BY AUDIENCE
One foundation. Five seats at the table.
Different roles ask different questions of R&D infrastructure. DataJoint answers each one with the same foundation.
R&D / TRANSLATIONAL LEADERS
Faster decisions on stronger scientific evidence.
Turn fragmented experimental work into reusable evidence and AI-ready scientific assets, so your portfolio decisions are built on a defensible foundation.
CODE-FORWARD SCIENTISTS
Less workflow plumbing. More repeatable science.
Codify experiments and pipelines once, then reuse them with confidence. Reduce brittle infrastructure work and make science easier to rerun, fork, and extend.
DATA / PLATFORM OWNERS
Stronger inputs for the platforms you already run.
Governed, provenance-rich scientific data products feeding your lakehouse, catalog, and AI tools.
SECURITY, COMPLIANCE & LEGAL
Traceable science you can actually audit.
Lineage and reproducibility are structural, not bolted on. Clear answers to who did what, when, and on which data.
INSTITUTIONAL SPONSORS
Strategic foundation your investments compound on.
The scientific foundation beneath every R&D and AI initiative, turns one-off pilots into compounding assets.
FREQUENTLY ASKED
Solutions, in practice.
Common questions from teams evaluating DataJoint across different sectors. More answers on the full FAQ.
Most R&D organizations span multiple sectors. A pharma company may have academic medical center collaborators and research institution partners. DataJoint’s foundation is the same across all of them, so the architecture stays consistent even as your audiences and stages evolve.
Yes. DataJoint Elements is a library of reusable schemas and pipelines for common scientific domains, electrophysiology, calcium imaging, pose estimation, transcriptomics, and more. These accelerate time-to-value while remaining fully customizable to your team’s exact protocols.
Versioned, forkable workflows are core to the platform. Pipelines codified once can be shared across sites and CRO partners with identical reproducibility. The same scientific data foundation extends across your internal teams and external collaborators.
The foundation is the same. Regulated deployments add 21 CFR, GxP-ready patterns, ALCOA+ alignment, and SOC 2 Type II compliance on top of the base architecture. Provenance and lineage are structural, meaning regulated deployments don’t require additional governance work.
Active programs span all four sectors at varying scale. Pharma R&D pilots in top-10 immunology programs. Translational research at academic medical centers. Multimodal imaging and connectomics at MICrONS-scale research institutions. Adjacent industries exploring DataJoint for materials science and semiconductor R&D.
READY TO BRING ONE FOUNDATION TO YOUR R&D WORK?