Summary of Job Responsibilities:

• Develop and/or apply ML/AI models, algorithms, and analytics to extract insights from complex, large-scale datasets including foundation models.
• Communicate analysis and results to key stakeholders across the organisation
• Keep up with the latest advancements in data science, machine learning, and AI and implement appropriate new techniques.
• Review and contribute to study reports and statistical sections of regulatory dossiers and intellectual property submissions.
• Interact with other associates who are encoding and generating user-friendly graphical interfaces to facilitate work with biologists/physiologists.
• Develop strong collaboration and communication with academic support networks and cross-functional teams.

Qualifications and Experience:

• Master or PhD in data science (statistics, data mining, machine learning, AI) or computer science
• Minimum Work Requirements:
• Highly proficient with Python/PySpark and a standard set of libraries for machine learning and AI.
• Experience in using AI frameworks (TensorFlow, PyTorch), data viz tools and the Linux environment.
• Experience with git, github, and release management tools.
• Ideally, would also :
• Have knowledge of omics data (e. g. next generation sequencing, metagenomics, transcriptomics, metabolomics, etc.)
• Have knowledge of database encoding and graphical interface.

Skills:

• Proficient at adapting his knowledge to various needs.
• Works in autonomy, well-organized, of high-quality, meeting timelines. Able to balance concurrent tasks and responsibilities.
• Works effectively in international teams and with multi-disciplinary groups.
• Brings creative ideas and makes suggestions for optimization.
• Able to adapt and improve your skills to the constant evolution of your field
• Has good communication skills, team spirit and high motivation
• Fluent in French and English

Location: Toulouse, France

Start: as soon as possible

Contract type: CDI