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Latest — 28 Sep 2025

Apprenticeship Works

We welcome applicants with backgrounds in statistics, biology, or computer science to join our 90-day program. You’ll build new skills, earn industry credentials, and produce clinical study reports that prove you’re ready for full-time roles.

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QC Planning and Oversight

We approach quality control proactively by employing event-driven architecture. Our leads see project plans come to life as developers leave audit trails, update live views, and invite comments. Track your deliverables in real-time with EDA.

Dataset Viewer

Our Dataset Viewer allows teams to visualize and interact with clinical research data in formats such as JSON, XPT, and XLSX. Users can perform comparisons, check conformance with data models, and add review comments to support faster cycles and higher-quality reporting.

Synthesizing data

Synthesizing data from study build casebooks involves systematically generating, combining, and analyzing data from these forms to derive meaningful relationship, which can be part of a preliminary dry run or benchmark.

Statistical Programming

We transform raw clinical and real-world data into standardized, analysis-ready formats. Our programmers implement CDISC (SDTM, ADaM) for trial data and FHIR/OMOP for RWD, producing the tables, listings, and figures that communicate study results.

Clinical Trials in the Real World, September 18th, Pittsburgh, PA

This PHUSE Single Day Event will bring together the region's academic leaders, technology officers, biostatisticians, and more to advance the use of real-world data in traditional clinical trials.

Python & Clinical Research, December 3rd, Pittsburgh, PA

How does Python turn patient data into clinical research? At PyData Pittsburgh’s year-end event, EDA apprentices share findings from a summer study and discuss trends in web development, digital health, and open-source tools shaping pharma’s future.

Update 2025 Week 38

This week start at Monday, September 15, 2025 to Sunday, September 21, 2025

Protocol Workspace

Protocol Workspace combines our Mapper, Viewer, and Library into a single environment for protocol management. It helps teams structure legacy documents and prepare for the Digital Data Flow initiative so that protocols are reusable and aligned with modern data standards.

Structuring protocols

Clinical trial protocols remain document-first, driving costly delays and amendments. Our USDM→M11 converter is the final step to structuring previously unstructured protocols. Our goal is to cut weeks from study startup while improving quality, automation, and compliance.