Data Scientist for Systems Biology

Data Scientist for Systems Biology

78350 Jouy en Josas

INRAE presentation

The French National Research Institute for Agriculture, Food, and Environment (INRAE) is a major player in research and innovation. It is a community of 12,000 people with 272 research, experimental research, and support units located in 18 regional centres throughout France. Internationally, INRAE is among the top research organisations in the agricultural and food sciences, plant and animal sciences, as well as in ecology and environmental science. It is the world’s leading research organisation specialising in agriculture, food and the environment. INRAE’s goal is to be a key player in the transitions necessary to address major global challenges. Faced with a growing world population, climate change, resource scarcity, and declining biodiversity, the Institute has a major role to play in building solutions and supporting the necessary acceleration of agricultural, food and environmental transitions.

Work environment, missions and activities

Context

We are currently in search of a motivated individual with a background in Biophysics or System Biology or Data Science to contribute to our ongoing efforts in developing cellular models (doi:10.1038/s41467-023-40380-0). The candidate will participate in projects funded by the French funding research agency (ANR) and a European Project (BIOS) at the MICALIS institute.  MICALIS (INRAE & University of Paris Saclay, https://www.micalis.fr) is a research unit of more than 350 researchers developing multidisciplinary approaches and promoting the development of synthetic biology applications for health and biotechnology. Within MICALIS , the recruiting research team (~20 staff spread into wet and dry labs www.jfaulon.com) specializes in developing computer-aided design tools for biotechnology. The candidate will closely collaborate with software developers and interact with Research and Data Scientists, Engineers, and Ph.D. fellows.

Mission(s)

Embark on an exciting journey working with novel AI-driven whole-cell models designed to facilitate the study of transcription, translation, and metabolism. You will undertake the following tasks:

• Benchmark existing mechanistic methods to model the kinetics of transcription, translation and metabolism.
• Contribute to the development of hybrid neural-mechanistic models based on physics informed neural networks and/or graph neural networks.
• Benchmark the hybrid models with experimental measurements collected by project partners or generated in the hosting lab.
• Propose a strategy to use the hybrid models for cell engineering.

The Micalis unit is a restricted zone, and recruitment must be approved by the Ministry. 

Training and skills

PhD

• Ph.D. degree in Physics or Biophysics or System Biology or Data Science with a background in Physics
• Prior knowledge in machine learning libraries (Scikit-learn, TensorFlow, PyTorch).
• Strong programming skills (Python, C++).
• Good knowledge of Unix-like OSs, testing practices, and Git versioning.
• Knowledge of continuous integration paradigms is a plus.

INRAE's life quality

By joining our teams, you benefit from (depending on the type of contract and its duration):

- up to 30 days of annual leave + 15 days "Reduction of Working Time" (for a full time);
- parenting support: CESU childcare, leisure services;
- skills development systems: training, career advise;
- social support: advice and listening, social assistance and loans;
- holiday and leisure services: holiday vouchers, accommodation at preferential rates;
- sports and cultural activities;
- collective catering.

INRAE - National Research Institute for Agriculture, Food and the Environment

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Deadline: 2024-05-18
Location: France, Jouy en Josas
Categories: Biophysics, cell and systems biology, Data Science, Physics, Programming,

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