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Lindus

AI-assisted CRO with integrated trial platform

Data Architect

Clinical Research OperationsConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Around 5 or more years of experience across clinical data management and/or trial platform design, including hands-on study setup, data review, and database lock.
  • Ability to design study data capture on an electronic data capture platform and define its specification, including edit checks and validation, while anticipating downstream data-quality impacts.
  • Ability to work with data programmatically, or build that skill quickly; Python, R, or SQL are used daily and can be learned on the job.
  • Working knowledge of CDISC standards, particularly CDASH; familiarity with SDTM is a plus, and designs should account for analysis-ready data.
  • Experience with external data transfers and reconciliation.
  • Understanding of GCP, ICH E6, and 21 CFR Part 11, and ability to apply them in day-to-day decisions.
  • Ability to apply AI and automation responsibly to improve data-work quality and speed in a regulated setting.
  • Ability to work across functions, especially Clinical Operations, Biostatistics, Programme Directors, and Product.
  • Ability to operate with high agency and a bias for action in a startup environment.

Responsibilities

  • Own assigned studies end-to-end, from defining critical data items and the data management plan through database lock.
  • Design assigned studies on Citrus, using AI combined with expert review to translate protocol requirements into specifications and edit-check logic that capture clean, analysis-ready data, and sign off that the design meets the protocol before go-live.
  • Assess feasibility and flag complexity and risk early when design choices could affect data integrity, participant safety, or study endpoints.
  • Manage the full query lifecycle from generation through resolution, working directly with sites.
  • Lead proactive, risk-based data review, automating it where possible to keep key study milestones on track and building repeatable checks rather than one-off reports.
  • Use scripting and AI tooling day-to-day to automate data review, flag anomalies, and surface issues earlier within validation, GCP, and 21 CFR Part 11 expectations.
  • Own fixes and change requests on assigned studies during conduct, assessing their impact and required testing and sign-off.
  • Perform ongoing safety data review and facilitate medical coding (MedDRA, WHODrug) with the medical team.
  • Build reports using programmatic data access (Python, R, SQL), delivering them accurately and on schedule.
  • Conduct activities in line with relevant regulations and Lindus SOPs; maintain study documentation to audit or inspection standards and support auditors and inspectors on assigned studies when needed.
  • Report bugs and usability issues, and provide operational insight to Product to improve how Citrus supports data delivery.

Desired Qualifications

  • Familiarity with SDTM.

About the Company

Lindus

AI-assisted CRO with integrated trial platform

Lindus is a contract research organization that provides AI-assisted clinical trial operations through Citrus, an operating system that connects patient IDs from about 40 million electronic health records to full trial execution in the US and UK. The system surfaces risks early by unifying recruitment, study operations, and clinical data in a real-time view for sponsors and internal teams, giving a single partner clear accountability from study design to database lock. It has completed 45+ trials across cardiometabolic, respiratory, psychiatry, dermatology, women’s health, and diagnostics, and when Lindus owned enrollment, 82% met or beat the proposed timeline (vs. ~20% industry average). Its milestone-based payments align incentives with timely delivery and budget discipline, and it supports decentralized trial approaches to improve reliability and accountability.

Company size
51-200
Company stage
Series B
Total funding
$78.7M
Headquarters
London, United Kingdom
Founded
2021

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