Postée il y a 2 jours
A propos d'Inria
Inria est l'institut national de recherche dédié aux sciences et technologies du numérique. Il emploie 2600 personnes. Ses 215 équipes-projets agiles, en général communes avec des partenaires académiques, impliquent plus de 3900 scientifiques pour relever les défis du numérique, souvent à l'interface d'autres disciplines. L'institut fait appel à de nombreux talents dans plus d'une quarantaine de métiers différents. 900 personnels d'appui à la recherche et à l'innovation contribuent à faire émerger et grandir des projets scientifiques ou entrepreneuriaux qui impactent le monde. Inria travaille avec de nombreuses entreprises et a accompagné la création de plus de 200 start-up. L'institut s'eorce ainsi de répondre aux enjeux de la transformation numérique de la science, de la société et de l'économie.
Machine learning engineer in digital health research
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Le descriptif de l'offre ci-dessous est en Anglais
Type de contrat :
CDD
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
The 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 dierent 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.
Contexte et atouts du poste
The position will BE located within the Inria-Inserm team COMPO (COMputational Pharmacology in Oncology) in the La Timone health campus in Marseille. 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.
The position is funded by the France 2030 Digital Health PEPR research program, under the project Pharmacological Digital Twins (DIGPHAT). This consortium brings together methodological teams in machine learning, statistics, bioinformatics and mechanistic modeling (at Inria : COMPO, HeKA, PreMeDICaL, as well as at CEA) and clinical pharmacology teams (CHUs in Limoges, Toulouse, Grenoble, and others).
Mission confiée
The recruited person will BE in charge in supporting the research activities of the consortium with software development.
Principales activités
The main tasks include :
- Developing and maintaining machine learning code libraries in collaboration with consortium partners.
- Developing code for generating synthetic data from real databases.
- Creating unified databases from public multi-omics datasets.
- Exploring hybrid modeling approaches that combine AI and mechanistic methods, such as neural ODEs, discovering the analytical form of ODEs using methods like D-CODE, or approaches based on LLMs.
Main activities :
- Machine learning (unsupervised and supervised)
Additional activities :
- Data exploration and visualization
- Biostatistics (e.g. statistical tests, survival analysis)
- Statistical reporting (notebooks, apps (e.g., shiny))
- Analyze the requirements of the project partners
- Write synthetic and meaningful reports and scientific publications
Compétences
Skills required :
- Excellent programing skills (R/python)
- Familiarity with real-world data analysis
- Ability to communicate with healthcare practitionists
- Strong background in statistics
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 € gross monthly (according to degree and experience).