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This MedTech aims to become a leader in precision therapies for difficult-to-treat diseases thanks to a breakthrougt in biology that provide more effective treatments to the patients. The startup is an integrated ‘discovery engine’, covering all activities from the generation of the data until their analysis and interpretation. The multidisciplinary teams made of data scientists, clinicians, biologists, focus on understanding the causes of diseases by grasping the heterogeneity of complex biological systems to discover biomarkers and new therapeutic solutions.
With a small team made of three data scientists, under the scientific guidance of Doctor in Biology, the start up has already developed an initial set of proprietary tools, data engineering and analysis pipelines, deployed on a secured cloud infrastructure. Those tools and pipelines constitute the core of our discovery engine, essential to derive biological insights from the vast amount of complex data generated by those single cell technologies.
The structuration of the overall Data team – including:
The management of the Data roadmap and projects across the teams – including:
3. The steering of the Data Engineering activities, providing guidance and technical expertise – initial key areas of expertise should include:
4. The execution of some Data engineering tasks (at least in the initial set up) – could include typically active role in designing, coding and testing solutions
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