Data Scientist for Private and Decentralized Machine Learning in Medicine

il y a 9 heures


Villeneuved'Ascq, Hauts-de-France Inria Temps plein

We are seeking a highly skilled Data Scientist to join our team at Inria University of Lille centre. As a Data Scientist, you will play a key role in the development of the open-source library DecLearn for private and decentralized/federated machine learning and data analysis.

Job Description

The successful candidate will be responsible for consolidating and extending the existing library for decentralized and privacy-preserving machine learning developed in the project. This includes integrating these developments into the information systems of partner hospitals to enable decentralized medical studies. You will also deploy the library in real-world conditions and experiment on synthetic and benchmark medical data, analyzing the benefits and costs compared to a centralized approach. Additionally, you will publish open-source code and integrate it into existing libraries, as well as publish scientific results in medical and computer science conferences.

Key Responsibilities
  • Implement federated and privacy-preserving algorithms for machine learning
  • Identify appropriate multicentric medical studies that fit the decentralized setting
  • Experiment with medical partners
  • Evaluate results
  • Report, disseminate, and present results
Requirements
  • Programming skills, preferably in Python, C/C++, R, Bash scripting
  • Interest in machine learning and medical applications. Good understanding of scientific papers on machine learning
  • Good communication skills; communication and animation of software development communities, git workflow
What We Offer
  • 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
  • Social security coverage
Salary

An estimated salary of €60,000 - €80,000 per annum, depending on experience.



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