Johnson & Johnson
Data Science Coop
Johnson & Johnson, Danvers, Massachusetts, us, 01923
2406212661W
Description
Abiomed, part of Johnson & Johnson MedTech, is a leading provider of medical devices that provide circulatory and respiratory support, with a mission of recovering hearts & saving lives. Abiomed's "Patients First!" culture drives our skilled workforce and strong relationships with clinicians. Our innovative product portfolio and robust pipeline provide us the incredible opportunity to bring lifesaving technology to more patients around the world than ever before. Founded in 1981, Abiomed has a proven track record for growth, integrity and innovation.
Patients First | Innovation | Winning Culture | Heart Recovery
POSITION SUMMARY
The Applied Research - Critical Care team is looking for a co-op or intern to support our early-stage research and development programs. The candidate will be involved in solving data science and data analytics problems. With defined requirements, the candidate will be responsible for designing algorithms for products, building machine learning tools and doing data analysis.
Implement machine learning for new or existing algorithms
Design and translate algorithms for products and internal analysis tools
Research in new applications of data science within the company
Conduct data analysis for internal or external groups
KEY RESPONSIBILITIES
The student will:
Assist in the design and training of Machine Learning models for Clinical Decision Support
Provide input into process development and improvement
Analyze data and present results to larger Engineering team
Qualifications
REQUIREMENTS
Senior or Grad student pursuing a degree in data science, computer science, computer engineering, software engineering, AI, or statistics.
Strong machine learning background with Deep Learning Experience (Tensorflow, Keras, Pytorch), Time series modeling experience.
Proficient in at least one programming language (Python preferred) and solid understanding of data structures & algorithms.
Solid understanding of statistics, strong analytical skills
Self-motivated, execute tasks in a timely manner
Demonstrated communication skills, both written and verbal
PREFERRED
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)
Displayed interest in medical device industry
Abiomed, part of Johnson & Johnson Medtech, is an Equal Opportunity Employer committed to a diverse workforce. Abiomed maintains a drug-free workplace.
#J-18808-Ljbffr
Description
Abiomed, part of Johnson & Johnson MedTech, is a leading provider of medical devices that provide circulatory and respiratory support, with a mission of recovering hearts & saving lives. Abiomed's "Patients First!" culture drives our skilled workforce and strong relationships with clinicians. Our innovative product portfolio and robust pipeline provide us the incredible opportunity to bring lifesaving technology to more patients around the world than ever before. Founded in 1981, Abiomed has a proven track record for growth, integrity and innovation.
Patients First | Innovation | Winning Culture | Heart Recovery
POSITION SUMMARY
The Applied Research - Critical Care team is looking for a co-op or intern to support our early-stage research and development programs. The candidate will be involved in solving data science and data analytics problems. With defined requirements, the candidate will be responsible for designing algorithms for products, building machine learning tools and doing data analysis.
Implement machine learning for new or existing algorithms
Design and translate algorithms for products and internal analysis tools
Research in new applications of data science within the company
Conduct data analysis for internal or external groups
KEY RESPONSIBILITIES
The student will:
Assist in the design and training of Machine Learning models for Clinical Decision Support
Provide input into process development and improvement
Analyze data and present results to larger Engineering team
Qualifications
REQUIREMENTS
Senior or Grad student pursuing a degree in data science, computer science, computer engineering, software engineering, AI, or statistics.
Strong machine learning background with Deep Learning Experience (Tensorflow, Keras, Pytorch), Time series modeling experience.
Proficient in at least one programming language (Python preferred) and solid understanding of data structures & algorithms.
Solid understanding of statistics, strong analytical skills
Self-motivated, execute tasks in a timely manner
Demonstrated communication skills, both written and verbal
PREFERRED
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)
Displayed interest in medical device industry
Abiomed, part of Johnson & Johnson Medtech, is an Equal Opportunity Employer committed to a diverse workforce. Abiomed maintains a drug-free workplace.
#J-18808-Ljbffr