- Perform statistical and data analyses to support lab teams: method validations, design of experiments, interactive data visualizations, statistical interpretation of results.

- Apply data science analyses on specific R&D project datasets: dataset preparation and quality checks ; data visualization ; unsupervised exploratory analysis ; predictive model building.

- Communicate results and findings to multidisciplinary R&D project teams and discuss next steps. Write reports on work performed ; document software code.

- Hold the role of data steward: help teams apply our entitys Data Governance, apply and teach recommended data management practices.

- In close association with our entitys data engineers, monitor and develop labs data management infrastructure: automated instrument data capture flows, data visualiztion services.

- Coordinates all stakeholders involved in their study.

- Reports research results in writing and/or through internal/external presentations

- Proposes new data tools.

- Actively contributes to the exchange of ideas.

Purpose :

- Conduct the Project's R&D activities in accordance with the multi-year program defined and approved by the project manager and program manager.

- Carry out the various actions under their responsibility.

- Contribute to resolving standard problems in accordance with the R&D project objectives and to the transfer of knowledge to the Researchers.

- Actively contribute to the technical development of their field, relying on proven and innovative methods and their technical expertise.

- Share their technical skills to advance their team and the R&D projects they contribute to.

- Adapt their skill level understanding the needs.