Data Architect

present of AI; Greater London; Hybrid; GBP 65,000 - 90,000; Full time

Job summary

Lindus Therapeutics seeks a seasoned Clinical Data Manager to own a clinical study database from planning to lock, designing how data is captured on the trial platform and ensuring it remains clean and analysis-ready.

The ideal candidate has several years in clinical data management or trial platform design, knows edit checks and validation, understands CDISC and CDASH, and can work with external data transfers and reconciliation, while applying GCP and 21 CFR Part 11.

Qualifications

• This role requires multiple years in clinical data management or trial platform design.
• Strong knowledge of CDISC and CDASH.
• Experience with external data transfers and reconciliation.

Responsibilities

• Own the study database from planning to lock and ensure data capture is robust.
• Design data capture and validation processes for analysis readiness.
• Maintain data quality and readiness for statistical analysis.

Tools

Python

R

SQL

Job description

This role asks for someone who can own a clinical study database from planning all the way to lock, designing how data is captured on a trial platform and making sure it stays clean and analysis ready. A strong candidate brings several years of clinical data management or trial platform design, knows edit checks and validation, understands CDISC and CDASH, and can work with external data transfers and reconciliation. Comfort with code such as Python, R or SQL matters, and the person should be able to apply regulations like GCP and 21 CFR Part 11 in daily choices.

How it fits the AI era

AI is woven into the daily work here, used to help translate protocol requirements into database specifications and to automate data review and flag anomalies earlier. What stays human is expert judgment: signing off that a design meets the protocol, weighing risk to data integrity and participant safety, and deciding how automation is applied responsibly under regulated standards. The role rewards people who can pair tooling with careful oversight rather than lean on either alone.

How it builds AI experience

Working here means gaining hands on practice applying AI and automation inside a regulated clinical data setting, on a platform built specifically for trial operations. A candidate can build this by getting comfortable scripting data review in Python, R or SQL and by learning how automated checks fit within validation and audit expectations. Familiarity with how AI assisted design and anomaly detection are reviewed and signed off would translate directly to the Citrus work.

Worth showing

• Clinical data management


• CDISC and CDASH


• Python R SQL scripting


• GCP and Part 11

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Lindus Therapeutics

Lindus Therapeutics develops an artificial intelligence clinical trial operating system called Citrus to accelerate drug development pipelines, according to the company.