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United States

Internship

Remote

Intern

Johnson & Johnson is hiring a Summer Intern in its Innovative Medicine R&D Data, Data Science, and AI organization. The intern will apply data science and analytics to research questions and develop solutions involving wearable sensor and neuroimaging data, digital biomarkers, and disease modeling.

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Responsibilities

In this role, you will work with colleagues in the J&J Innovative Medicine R&D Data, Data Science, and AI (DDSAI) organization and partner with key businesses across J&J Innovative Medicine to apply advanced data science and analytics to answer key research questions
You will be a member of a dynamic team comprising data scientists and subject matter experts to create and iterate on data science solutions
Projects include, but are not limited to, processing and analysis of wearable sensor and neuroimaging data, development of machine learning models for digital biomarker discovery, validation of digital health endpoints, generation of insights from real-world physiological and behavioral data, modeling and prediction of disease severity and progression, and discovering of disease subtypes

Qualification

Required

Currently pursuing a PhD degree in Biomedical Engineering, Electrical Engineering, Neuroscience, Applied Mathematics, Statistics, Data Science, or a related quantitative discipline
Strong working knowledge of AI and machine learning
Advanced in Python or R
Strong skills in predictive modeling, statistics, and analysis of large datasets
Strong technical communication and presentation skills
Basic knowledge of data cleaning and data quality
Permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually requires future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship

Preferred

Experience with processing and analyzing sensor, wearable device, clinical records, and/or medical imaging data
Proficiency with pytorch
Experience with semi-supervised and/or self-supervised learning
Experience with Foundation Models