For more than 20 years, our global network of passionate technologists and pioneering craftspeople has delivered cutting‑edge technology and game‑changing consulting to companies on the brink of AI driven digital transformation. Since 2001, we have grown into a full service digital consulting company with 5500+ professionals working on a worldwide ambition. Driven by the desire to make a difference, we keep innovating. Fuelling the growth of our company with our knowledge worker culture. When teaming up with Xebia, expect in-depth expertise based on an authentic, value‑led, and high quality way of working that inspires all we do.
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At Xebia, we put ‘People First’—committed to attracting diverse talent and fostering an inclusive, respectful workplace where everyone is valued for their contributions. We welcome all individuals and evaluate solely on the quality of their work and teamwork.
About the role
We are seeking a highly skilled
Senior Project Manager
with strong experience in life‑sciences data platforms—specifically
Datavisynand Causal Bio (Causaly). The ideal candidate will lead cross‑functional teams to deliver complex biomedical data‑driven projects, oversee stakeholder alignment, and drive successful implementation of advanced scientific analytics solutions.
Responsibilities
Partner with R&D, data science, and informatics teams to translate scientific requirements into actionable project plans.
Oversee integration of Datavisyn's visual analytics capabilities into customer workflows, supporting interactive exploration of large, multi‑source biomedical datasets.
Manage deployment and adoption of Causaly’s AI‑powered knowledge graph, ensuring teams leverage causal inference and advanced information retrieval for scientific decision‑making.
Facilitate cross‑functional communication, manage risks, dependencies, and timelines, and ensure high‑quality deliverables.
Provide technical oversight during solution design, data integration, and platform customization.
Prepare project documentation, governance frameworks, and progress reporting for stakeholders.
Drive continuous improvement, including evaluation of emerging analytics and AI technologies relevant to biomedical R&D.
Required Qualifications
Bachelor’s or Master’s degree in Life Sciences, Bioinformatics, Data Science, or related field.
5–10+ years
of project management experience within pharmaceutical, biotech, or scientific software environments.
Demonstrated experience delivering projects involving:
Datavisyn data‑visualization platforms
such as Ordino or Aevidence.
Causal Bio (Causaly) AI platforms, including use of knowledge graphs, scientific RAG, or AI copilots for biomedical research.
Proven ability to manage complex multi‑stakeholder projects with technical and scientific components.
Strong understanding of drug discovery processes, biomarkers, target identification, or disease‑mechanism analysis.
Exceptional communication, leadership, and organizational skills.
Preferred Qualifications
Experience in data integration across heterogeneous biomedical sources.
Familiarity with visual analytics, knowledge‑graph‑based reasoning, or AI governance frameworks. xpzdshu
PMP, Agile/Scrum, or other project management certifications.
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