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Cytel Tech Stack

Clinical trial analytics and adaptive design software for pharma and biotech

Pharmaceutical Manufacturing Cambridge, MA 1,001–5,000 employees Founded 1987 Privately Held
cytel.com LinkedIn

Cytel operates as a data-science CRO serving the full drug development lifecycle—from adaptive trial design through regulatory submission and real-world evidence. The stack is heavily weighted toward statistical programming (SAS, Phoenix WinNonlin, GraphPad Prism, WinBUGS) and clinical data standards (CDISC SDTM, ADaM), with emerging adoption of modern tools like Python and Shiny. The hiring surge is concentrated in data and research roles at senior and principal levels, paired with active projects in SDTM/ADaM dataset generation and statistical analysis—signaling expansion in quantitative capacity to handle larger, more complex pharma engagements.

Tech Stack 27 technologies

Core StackSAS Python Salesforce React Angular C# JavaScript PostgreSQL Jira Confluence Bitbucket Visual Studio HubSpot CDISC SDTM CDISC CDISC ADaM Medidata Rave Phoenix WinNonlin Shiny Blackboard Collaborate Visual Basic for Applications VBA GraphPad Prism Phoenix WinNonLin NET Core Visual Studio Code WinBUGS

What Cytel Is Building

◆Challenges

  • Supporting complex clinical development projects
  • Migrating legacy datasets to standards
  • Ensuring consistent high-quality data summaries
  • Meeting challenging timelines
  • Expanding large pharma client base
  • Reducing effort and time for repeated use
  • Process improvement to enhance speed, quality, efficiency
  • Analyzing complex manufacturing data
  • Managing data discrepancies
  • Ensuring data accuracy and completeness

▲Active Projects

  • Phase i-iv clinical trials
  • Sales strategy development for regional teams
  • Statistical analysis and reporting deliverables for drug/vaccine trials
  • Regulatory submission support
  • Ad-hoc report generation
  • Sdtm and adam dataset generation
  • Clinical trial data manipulation and reporting
  • Rfp/rfi response development
  • Development of study protocols and analysis plans leveraging large rwd sources
  • Analytical method validation

Hiring Activity

Accelerating70 roles · 60 in 30d

Department

Data
36
Research
17
Healthcare
6
Sales
6
Consulting
2
Ops
2
Executive
1
Finance
1

Seniority

Senior
32
Principal
23
Director
8
Mid
4
VP
3
Lead
1
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About Cytel

Cytel is a contract research organization specializing in data science and clinical trial software for pharmaceutical and biotech companies. The company provides end-to-end services across trial design, biometrics, statistical analysis, regulatory submission support, and real-world evidence generation. With over 2,000 employees across North America, Europe, Asia, and multiple hiring markets, Cytel serves large pharma, mid-market biotech, and development-stage sponsors navigating preclinical research through commercialization. Active projects span Phase I–IV trials, adaptive design methodology, dataset standardization (SDTM/ADaM), and protocol development informed by real-world data sources.

HeadquartersCambridge, MA
Company Size1,001–5,000 employees
Founded1987
Hiring MarketsUnited States, India, Ukraine, France, Canada, Romania, South Africa, Poland

Frequently Asked Questions

What tech stack does Cytel use for clinical trials?

Core stack includes SAS, Phoenix WinNonlin, CDISC SDTM/ADaM standards, GraphPad Prism, and WinBUGS for statistical analysis. Modern additions include Python, Shiny, React, PostgreSQL, and Salesforce for analytics and business operations.

Where is Cytel headquartered and how many employees?

Headquartered in Cambridge, MA, Cytel employs 2,000+ staff across North America, Europe, and Asia with active hiring in the United States, India, Ukraine, France, Canada, Romania, South Africa, Poland, Italy, Singapore, Netherlands, and Bulgaria.

How this profile is built

Cytel's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.