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Project Manager/RTE&Scrum Master - AI-Driven Clinical Data …, Basel

Project Manager/RTE&Scrum Master - AI-Driven Clinical Data …, Basel
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Project Manager/RTE&Scrum Master - AI-Driven Clinical Data Management Function:

Project Management and Business Analysis

Quasi remote:

Hybrid

Background:

We are looking for a Project Manager who also serves as Scrum Master for three delivery teams within a strategic programme that applies agentic AI and rule-based automation to clinical trial data review. The programme is in active build with a fixed MVP deadline, a distributed team of approximately fifty people across five delivery teams, and GxP regulatory requirements.

Programme level:

Deliver execution - planning, tracking, risk management, dependency resolution, stakeholder communication.

Team level:

Facilitate agile ceremonies, coach teams on effective ways of working, remove impediments for cross‑functional delivery teams. Work alongside a Product Manager (vision and prioritisation) and a Solution Architect (technical decisions).

The perfect candidate:

Pragmatic, hands‑on servant leader that thrives in ambiguity, maintains high‑trust psychologically safe environment, remains firm on scope and commitments, balances detail and high‑level perspective; comfortable shaping strategy while also diving into trenches to update a RAID log or fix a Jira filter.

General Information Start date: asap

Latest start date: 01.07.2026

Planned duration: 30.11.2027

Extension: not planned

Workplace: Basel

Workload: 100%

Home office: 50%

Tasks&Responsibilities

Own the delivery plan across multiple parallel teams from current state through MVP and subsequent releases

Drive PI‑level planning, manage cross‑team dependencies, and resolve blockers before they hit the critical path

Maintain the RAID log with clear owners, deadlines, and recommendations

Enforce scope discipline through a structured requirements intake and triage process

Release management: develop and maintain a release calendar and schedule, coordinating with development, QA, and operations teams on timelines; lead post‑implementation reviews to identify release cycle process improvements

Facilitate sprint planning, daily stand‑ups, reviews, and retrospectives for the three delivery teams

Shield teams from external disruptions and remove impediments quickly

Coach team members on agile practices and continuous improvement

Track sprint health (velocity, burndown, blocked items) and surface concerns early

Support Product Owners with backlog refinement, story breakdown, and Definition of Done compliance

Facilitate Scrum of Scrums, PO sync, and dependency resolution sessions across all five delivery teams

Manage Jira ALM project structure as the single source of truth for programme status and ensure consistent Jira hygiene across all teams (issue types, labels, linking, workflows)

Enable effective collaboration between co‑located (Basel) and virtual (US, India) team members

Provide transparent status reporting to leadership, coordinate stakeholder expectations around MVP scope and post‑MVP deferrals, and coordinate with adjacent programmes and platform teams on integration dependencies

Must Have (Qualifications)

7+ years of project management experience in software delivery, including 3+ years managing programmes with multiple parallel teams

Demonstrated Scrum Master experience– facilitation of agile teams, not only observation

Pharmaceutical or Life Sciences industry experience with understanding of GxP requirements and inspection readiness

Hands‑on Jira experience – configuration and management of Jira projects; Xray test management experience preferred

Experience with scaled agile delivery (SAFe or similar) and ability to adapt the framework pragmatically

Strong risk and dependency management skills with a bias toward action

Experience managing distributed hybrid teams across multiple time zones

Fluent English communication– written and verbal

Nice To Have (Qualifications)

Clinical data management domain familiarity– understanding of CRFs, EDC systems, data queries, and data review processes

Experience with AI/ML product delivery, especially challenges of validating non‑deterministic systems

GxP validation experience for AI/ML or software systems in pharma

Experience with clinical data systems (Medidata Rave, CDMS, RBQM tools)

CSM, PSM, SAFe SM/RTE, PMP, or equivalent certification

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