Statistical Analyst for Longitudinal Medical Data

il y a 1 mois


Paris, Île-de-France INRIA Temps plein

Context and Advantages of the Position

You will work in the context of the REWIND project, a multicentric project granted via the "Investissement d'avenir" PEPR Santé Numérique. The project will focus on the development of new mathematical and statistical approaches for the analysis of multimodal multiscale longitudinal data. These models will be designed, implemented as prototypes and then transferred to an easy-used-well-documented platform where researchers from diverse communities, in particular physicians, will be able to analyze their own data set.

In this context, you will work in two Inria teams: HeKA and ARAMIS lab. You will be strongly involved in scientific aspects of the work, such as discussion of methodological issues and interpretation of results. You will interact locally with the PhD students, postdoctoral fellows and engineers. You will take part in the communications and publications resulting from the use of the software.

Key Responsibilities

  • Development of new features (implementation of new models, algorithms, metrics, visualizations)
  • Software maintenance
  • User support and animation of the community

You will also be presenting the software at international scientific conferences and other events. Finally, you will contribute to ambitious medical studies, by using Leaspy on large databases of patients, contributing to the interpretation of results and providing assistance to users (internal to the lab and external collaborators).

Required Skills

  • PhD degree or master + experience in the field of statistical analysis
  • Strong programming skills in Python
  • Experience working with Git/GitHub on open-source projects would be a plus
  • Excellent relational and communication skills to interact with users and lab members
  • Good writing skills (documentation, website, scientific articles)

Benefits

  • Subsidized meals
  • Partial reimbursement of public transport costs
  • Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
  • Possibility of teleworking and flexible organization of working hours (after 12 months of employment)
  • Professional equipment available (videoconferencing, loan of computer equipment, etc.)
  • Social, cultural and sports events and activities
  • Access to vocational training
  • Social security coverage


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