Your responsibilities:

Translate the AI Control Towers functional and technical requirements into detailed, traceable test cases and scenarios.
Plan, execute, and document test cycles across the PoC (installation, functional, integration, performance, and security testing).
Validate vendor self-assessment responses against the requirements checklist and flag gaps or discrepancies.
Support and verify endpoint installation testing across the pilot user cohort (up to 50% of end users during PoC).
Test and confirm core governance capabilities — runtime AI governance, risk/impact evaluation, monitoring and observability — behave as specified.
Log, prioritize, and track defects and issues through resolution, coordinating directly with vendors technical teams.
Coordinate with dependent teams within RO to align on resource needs and testing dependencies after each submission milestone.
Contribute to defining the Definition of Done (DoD) and Definition of Ready (DoR) for the team's Kanban board.
Support User Acceptance Testing (UAT) with the pilot end-user cohort and capture structured feedback.
Verify that audit trails, logs, and compliance reporting outputs meet Roche's evidentiary and regulatory needs.
Prepare clear, concise QA status reporting for AI Control Tower stakeholders, procurement, and leadership."

We are looking for you, if you have:

Must have - hands-on experience in testing AI/SaaS platforms.
Bachelor degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent practical experience).
3+ years of QA / software testing experience, ideally involving enterprise platform rollouts or vendor PoCs.
Demonstrated experience writing test plans and test cases directly from functional and technical requirements.
Working experience with defect/issue tracking tools (e.g., Jira) and Kanban-based ways of working.
Strong analytical skills with high attention to detail and clear written documentation.
Fluent English, written and spoken; comfortable working with cross-functional and multi-vendors teams.
Test planning, execution, and requirements traceability.
Defect management and root-cause coordination with vendors.
Stakeholder communication across business, procurement, and technical teams.
Structured, evidence-based reporting.
Comfort operating with ambiguity in a fast-moving, PoC-stage environment.

Nice to have:

Prior exposure to AI/ML systems, AI governance, or model-risk testing.
Familiarity with recognized AI governance frameworks
Experience in a regulated industry (e.g., pharmaceutical)
Experience testing endpoint-deployed software across a large, distributed user base.
Agile/Scrum or Kanban delivery experience within a small, cross-functional team.

We offer:

We reserve the right to contact the selected candidates.

Research Scientist, Kaggle

Senior Test Lead