Johnson & Johnson's Critical Care team (Applied Sciences & AI) is looking for a Data Science Co-op to support early-stage research and development programs by solving data science and data analytics problems.
Requirements
- Strong Machine Learning background with experience in Deep Learning (along with tools like Tensorflow, Keras, Pytorch), time series modeling, LLMs, natural language processing.
- Proficient in at least one programming language (Python preferred) and solid understanding of data structures & algorithms.
- Solid understanding of statistics, strong analytical skills
- Demonstrated experience with tuning and evaluating Large Language Models on variety of tasks including Named Entity Recognition and Question-Answering
- Knowledge in Data Science / Machine Learning libraries (numpy, pandas, matplotlib, sklearn, nltk)
- Experience in signal processing
- Big data / cloud experience (AWS, Azure, Google Cloud, Hadoop, Spark, Hive)
Responsibilities
- Implement machine learning for new or existing algorithms
- Design and translate algorithms for products and internal analysis tool
- Research in new applications of data science within the company
- Conduct data analysis for internal or external groups
- Assist in the design and training of Machine Learning models for Clinical Decision Support
- Analyze data and present results to larger Engineering team
Other
- Senior, Master's or PhD student pursuing a degree in Data Science, Computer Science, Computer Engineering, Software Engineering, AI, or Statistics
- Self-motivated, execute tasks in a timely manner
- Demonstrated communication skills, both written and verbal
- Displayed interest in medical device industry
- 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.
