Data Science Engineer - Statistical Learning For Lung Cancer Screening H/F INRIA

Data science engineer - Statistical learning for lung cancer screening
Le descriptif de l'offre ci-dessous est en Anglais
Contrat renouvelable : Oui

Niveau de diplôme exigé : Bac +5 ou équivalent

Autre diplôme apprécié : PhD thesis

Fonction : Ingénieur scientifique contractuel

A propos du centre ou de la direction fonctionnelle

Inria is the French National Institute for Research in Digital Science, of which the Inria Côte d'Azur University Center is a part. With strong expertise in computer science and applied mathematics, the research projects of the Inria Côte d'Azur University Center cover all aspects of digital science and technology and generate innovation. Based mainly in Sophia Antipolis, but also in Nice and Montpellier, it brings together 47 research teams and nine support services. It is active in the fields of artificial intelligence, data science, IT system security, robotics, network engineering, natural risk prevention, ecological transition, digital biology, computational neuroscience, health data, and more. The Inria Center at Université Côte d'Azur is a major player in terms of scientific excellence, thanks to the results it has achieved and its collaborations at both European and international level.

Contexte et atouts du poste

The engineer position will take place in the environment of a newly created Inria-Inserm team COMPO (COMputational Pharmacology in Oncology), located in the La Timone health campus. The team is composed of mathematicians, data scientists, pharmacists and clinicians and is a unique multidisciplinary environment focused on developing novel computational tools for decision-making in clinical oncology.

Specifically, the project is funded by the french NationalResearch AgencyRHU LUCA-PI (lung cancer prevention and intervention) PI-ed by COMPO member Pr David Boulate.

Mission confiée

The recruited person will be in charge of the biostatistical analysis and machine learning engineering ofthe data collected during the study.

Principales activités

Main activities :

- Data exploration and visualization
- Biostatistics (e.g. statistical tests, survival analysis)
- Statistical reporting (notebooks, apps (e.g., shiny))
- Machine learning (unsupervised and supervised)

Additional activities :

- Review the literature
- Analyze the requirements of the project partners
- Write synthetic and meaningful reports and scientific publications

Compétences

Technical skills and level required :

- Excellent programing skills (R/python)
- Familiarity with real-world data analysis
- Strong background in statistics
- Ideally, experience in mixed-effects modeling

Avantages

- 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
- Professional equipment available (videoconferencing, loan of computer equipment, etc.)
- Social, cultural and sports events and activities
- Access to vocational training
- Contribution to mutual insurance (subject to conditions)

Rémunération

From 2692 euros gross monthly (according to degree and experience)