AI Internship - Deep learning for biology

Job description

About

Created in 2021 by Camille Bouget, Vincent Bouget et Julien Duquesne, Scienta Lab is a deeptech company harnessing artificial intelligence to transform the drug discovery and development process in immunology and inflammation.
With its unique and proprietary technology based on a foundation model, Scienta Lab leverages multimodal data to accelerate the discovery of new therapeutic targets and the development of personalized treatments. The company’s research activities, led in partnership with top-tier academic institutions across Europe, are regularly featured in medical journals and international congresses.
Scienta Lab is based in Biolabs Hôtel Dieu and has been selected amongst the 2023 edition of the Future 40 program which rewards the most promising startups of Station F each year. In December 2023, the company announced a seed round of 4M from CentraleSupélec Venture and a team of world-class business angels and is thus seeking for top talents to accelerate its development.
Join us and be a part of our exciting journey to unravel the mysteries of the immune system!
Discover who we are and what we value here .

Job Description

We are seeking a motivated and talented AI Research Intern to join our AI team. This internship offers a unique opportunity to work at the forefront of AI applications in drug discovery and development, focusing on immunology and inflammation. You will work on biological data (genomics, transcriptomics, epigenomics) coupled with clinical patient characteristics to develop multimodal models predicting medical outcomes and discovering associated biomarkers.

Main missions:

-       Participate in the development of our deep foundation model for multi-omics data by integrating new data modalities or supporting its explainability capacities

-       Leverage our foundation models in applied biological projects to unravel new biomarkers

-       Contribute to our publications on our last AI-driven medical discovery  

-       Engage in literature reviews to stay updated on the latest advancements in AI for drug discovery

Preferred Experience

-       Currently pursuing a Master's or Ph.D. in Computer Science, Artificial Intelligence, Bioinformatics, or a related field

-       Strong background in deep learning, machine learning, deep learning, and data analysis

-       You like coding and learning new good practices in Python.

-       Professional working proficiency in English.

Additional Information

·  Contract Type: Internship (Between 6 and 6 months)
·  Location: Paris
·  Occasional remote authorized