Machine learning engineer in digital health research

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Contract type : Fixed-term contract

Renewable contract : Yes

Level of qualifications required : Graduate degree or equivalent

Other valued qualifications : PhD thesis

Fonction : Temporary scientific engineer

About the research centre or Inria department

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 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.

 

 

Context

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).

Assignment

The recruited person will be in charge in supporting the research activities of the consortium with software development.

Main activities

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 :

  • 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 :

  • 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

 

Skills

Skills required :

  • Excellent programing skills (R/python)
  • Familiarity with real-world data analysis
  • Ability to communicate with healthcare practitionists
  • Strong background in statistics

 

Benefits package

  • 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)

Remuneration

From 2692 € gross monthly (according to degree and experience).