Data Science, AI/ML Intern H/F - 2406161665W

　　Description

　　Data Science, AI/ML Intern

　　Laboratoires Janssen groupe Johnson & Johnson

　　Position based in Issy-les-Moulineaux

　　Starting between Feb-April 2024

　　MISSION :

　　In this role, you will work with colleagues in JNJ Innovative Medicine's Data Science and Digital Health R&D organization and partner with key JNJ Innovative Medicine (formerly Janssen) businesses to apply science and analytics data advances to answer key research questions. As an intern, you will have the opportunity to work on cutting-edge problems at the intersection of artificial intelligence and drug discovery. You will be part of a dynamic team of data scientists and subject matter experts to create and iterate on data science solutions. Projects include, but are not limited to, the development and application of predictive and generative artificial intelligence methods for the prediction and generation of molecular properties with the ultimate goal of drug discovery. Some responsibilities include :

　　Development and evaluation of predictive and generative machine learning algorithms to analyze molecular datasets for drug discovery.

　　Collaborate closely with other machine learning scientists, computational biologists and chemists to develop and execute the research project.

　　Document and disseminate research findings internally and externally (e.g.- publishing in top-tier ML conferences/journals).

　　Qualifications

　　MINIMUM QUALIFICATIONS:

　　Currently pursuing a Masters, or PhD degree in Data Science, Computer Science, Electrical Engineering, Statistics, or related quantitative discipline.

　　Strong working knowledge of machine learning with demonstrated research experience, as evidenced by publications, public code contributions, etc.

　　Proficiency in Python and hands-on experience with Deep Learning frameworks such as PyTorch or TensorFlow to tackle scientific problems.

　　Strong technical communication and presentation skills.

　　Ability to understand and write academic research papers.

　　PREFFERED QUALIFICATIONS:

　　Experience in one or more of the following:o Extensive research experience working with sequence models (e.g.- with Large Language Models (LLMs)) and/or Graph Neural Networks (GNNs).

　　o Familiarity with Equivariant Geometric Deep Learning and/or state space sequence modelling is a plus.

　　Good verbal and written English communication skills.For more than 130 years, diversity, equity and inclusion (DEI) has been part of our company culture and how we do things every day at Johnson & Johnson. Our commitment to respecting the dignity and diversity of all is anchored in our Credo. We know that the success of our business depends on having the best talent on our teams who must reflect the diversity of the markets, customers, patients and consumers we serve around the world. This is why, in France, we work to create an inclusive environment where diverse backgrounds, perspectives and experiences are valued and where each of our employees feels like they belong and can realize their full potential. It doesn't matter who they are. Diversity, Equity and Inclusion at Johnson & Johnson means “You Belong!” »

　　#JnJEMEAStudentCareers#JnJEMEAJanssen#JNJEMEAMasters#JnJEMEAStage

　　Primary Location Europe/Middle East/Africa-France-Haute-de-Seine-Issy Les Moulineaux

　　Organization Janssen Cilag S.A.S. (7825)

　　Job Function Non-LDP Intern/Co-Op

　　Req ID: 2406161665W