Autolus is a biopharmaceutical company, advancing innovative therapies at both clinical and commercial stages of development, focused on next-generation, programmed T cell therapies for the treatment of cancer. Using a broad suite of proprietary and modular T cell programming technologies, the company is engineering precisely targeted, controlled, and highly active T cell therapies designed to better recognize cancer cells, break down their defence mechanisms, and eliminate these cells. Autolus has a pipeline of product candidates in development for the treatment of haematological malignancies, solid tumours, and autoimmune diseases.
Why Autolus
Our team is passionate in the pursuit of excellence and in pushing the boundaries of cancer therapy and autoimmune diseases to deliver life-changing treatments to patients. Whilst working at Autolus you will enjoy a flexible, diverse, and dynamic working environment which actively promotes creativity, leadership and teamwork. In addition to this Autolus is proud to offer a competitive salary, performance related bonus as well as private medical insurance, life assurance, and pension.
Our Promise
Autolus is developing complex, breakthrough therapies for a globally diverse market and equally recognises that diversity amongst our people is critical to our mission. As we draw on our differences, what we’ve experienced, and how we work, we celebrate diversity and are committed to creating an inclusive environment for all employees.
The Data Solution Architect is responsible for designing end-to-end data solutions across Autolus' enterprise data capabilities, including data integration, data warehouse, master data management, data governance, and analytics.
Working closely with the Data Product Owner and technical leads, this role translates approved business requirements into detailed solution designs, including data architecture, data models, data flows, integration patterns, and governance requirements. The role ensures solutions are scalable, reusable, secure, governed, and aligned with the overall enterprise data architecture before development begins.
This is an opportunity to influence the data architecture of a rapidly evolving biotech organization from the ground up.