Project Manager/RTE & Scrum Master - AI-Driven Clinical Data Management - 6990Contract Duration: 16 monthsHybrid: 50% home officeOur client is a leading Swiss multinational healthcare company headquartered in Basel, Switzerland. Operating in Pharmaceuticals and Diagnostics, it is one of the world’s largest biopharmaceutical companies and a global leader in in-vitro diagnostics and cancer treatments. Our client is known for its strong focus on innovation, particularly in personalized healthcare, and has played a major role in developing treatments for oncology, immunology, infectious diseases, and neuroscience.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 50 people across 5 delivery teams, and GxP regulatory requirements.The perfect candidateThe perfect candidate is a pragmatic, hands‑on servant leader who thrives in ambiguity and leads by enabling the team rather than controlling them. He maintains a high‑trust, psychologically safe environment while remaining firm on scope and commitments. Balancing a sharp eye for detail with a broad program‑level perspective, he leads by example—equally comfortable shaping high‑level strategy or diving into the trenches to update a RAID log or fix a broken Jira filter.Main ResponsibilitiesOwn the delivery plan across multiple parallel teams from current state through MVP and subsequent releasesDrive PI-level planning, manage cross-team dependencies, and resolve blockers before they hit the critical pathMaintain the RAID log with clear owners, deadlines, and recommendationsEnforce scope discipline through a structured requirements intake and triage processRelease 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.Scrum Master for Three Delivery TeamsFacilitate sprint planning, daily standups, reviews, and retrospectives for the teamsShield teams from external disruptions and remove impediments quicklyCoach team members on agile practices and continuous improvementTrack sprint health (velocity, burndown, blocked items) and surface concerns earlySupport Product Owners with backlog refinement, story breakdown, and Definition of Done complianceFacilitate Scrum of Scrums, PO Sync, and dependency resolution sessions across all 5 delivery teamsManage the Jira ALM project structure as the single source of truth for programme statusEnsure consistent Jira hygiene across all teams (issue types, labels, linking, workflows)Enable effective collaboration between co‑located (Basel) and virtual (US, India) team membersProvide transparent program status reporting to leadershipManage stakeholder expectations around MVP scope and post‑MVP deferralsCoordinate with adjacent programmes and platform teams on integration dependenciesQualifications and Experience7+ years of project management experience in software delivery, including 3+ years managing programmes with multiple parallel teamsDemonstrated Scrum Master experience – you have facilitated agile teams, not just observed them. You know how to run an effective retro and how to coach without directingPharmaceutical or Life Sciences industry experience with understanding of GxP requirements and what inspection readiness means in practiceHands‑on Jira experience – you have configured and managed Jira projects, not just consumed reports. Xray test management experience preferredExperience with scaled agile delivery (SAFe or similar) and the pragmatism to know when to adapt the framework to the situationStrong risk and dependency management skills with a bias toward actionExperience managing distributed hybrid teams across multiple time zonesFluent English communication – written and verbalClinical data management domain familiarity – you understand CRFs, EDC systems, data queries, and the data review process at a working levelExperience with AI/ML product delivery, particularly the challenges of validating non‑deterministic systemsGxP validation experience for AI/ML or software systems in pharmaExperience with clinical data systems (Medidata Rave, CDMS, RBQM tools)CSM, PSM, SAFe SM/RTE, PMP, or equivalent certification
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