Data science engineer - Statistical learning for lung cancer screening

Data Science Engineer - Statistical Learning for Lung Cancer ScreeningLevel of Qualifications Required: Graduate degree or equivalentOther Valued Qualifications: PhD thesisFunction: Temporary Scientific EngineerAbout the Research Centre or Inria DepartmentThe Inria center at Université Côte d'Azur includes 42 research teams and 9 support services. The center’s staff (about 500 people) is made up of scientists of different nationalities, engineers, technicians and administrative staff. The teams are mainly located on the university campuses of Sophia Antipolis and Nice as well as Montpellier, in close collaboration with research and higher education laboratories and establishments (Université Côte d'Azur, CNRS, INRAE, INSERM ...), but also with the regional economic players.With a presence in the fields of computational neuroscience and biology, data science and modeling, software engineering and certification, as well as collaborative robotics, the Inria Centre at Université Côte d'Azur is a major player in terms of scientific excellence through its results and collaborations at both European and international levels.ContextThe 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 National Research Agency RHU LUCA-PI (lung cancer prevention and intervention) PI-ed by COMPO member Pr David Boulate.AssignmentThe recruited person will be in charge of the biostatistical analysis and machine learning engineering of the data collected during the study.Main ActivitiesMain activities:Data exploration and visualizationBiostatistics (e.g., statistical tests, survival analysis)Statistical reporting (notebooks, apps (e.g., shiny))Machine learning (unsupervised and supervised)Additional activities:Review the literatureAnalyze the requirements of the project partnersWrite synthetic and meaningful reports and scientific publicationsSkillsTechnical skills and level required:Excellent programming skills (R/Python)Familiarity with real-world data analysisStrong background in statisticsIdeally, experience in mixed-effects modelingBenefits PackagePartial reimbursement of public transport costsLeave: 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 hoursProfessional equipment available (videoconferencing, loan of computer equipment, etc.)Social, cultural and sports events and activitiesAccess to vocational trainingContribution to mutual insurance (subject to conditions)RemunerationFrom 2692 euros gross monthly (according to degree and experience)Theme/Domain: Computational Neuroscience and MedicineStatistics (Big Data) (BAP E)Application InstructionsApplications must be submitted online on the Inria website. Collecting applications by other channels is not guaranteed.Defence Security:This position is likely to be situated in a restricted area (ZRR), as defined in Decree No. 2011-1425 relating to the protection of national scientific and technical potential (PPST). Authorisation to enter an area is granted by the director of the unit, following a favourable Ministerial decision, as defined in the decree of 3 July 2012 relating to the PPST. An unfavourable Ministerial decision in respect of a position situated in a ZRR would result in the cancellation of the appointment.Recruitment Policy:As part of its diversity policy, all Inria positions are accessible to people with disabilities.Strong motivation to apply computational methods to concrete health problems.About InriaInria is the French national research institute dedicated to digital science and technology. It employs 2,600 people. Its 200 agile project teams, generally run jointly with academic partners, include more than 3,500 scientists and engineers working to meet the challenges of digital technology, often at the interface with other disciplines. The Institute also employs numerous talents in over forty different professions. 900 research support staff contribute to the preparation and development of scientific and entrepreneurial projects that have a worldwide impact. #J-18808-Ljbffr