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Data Science Co-op

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Johnson & Johnson

6d ago

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    Software Engineering
  • Danvers

AI generated summary

  • You must be a senior/grad student in relevant fields, with machine learning and deep learning skills, coding proficiency in Python, stats knowledge, and experience in medical devices and big data.
  • You will assist in designing and training Machine Learning models, contribute to process improvements, analyze data, and present findings to the Engineering team.

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
  • 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

Responsibilities

  • 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

FAQs

What is the main focus of the Data Science Co-op position at Abiomed?

The main focus is to support early-stage research and development programs by solving data science and data analytics problems, designing algorithms, building machine learning tools, and conducting data analysis.

What type of student is preferred for this co-op position?

The preferred candidate is a Senior or Graduate student pursuing a degree in data science, computer science, computer engineering, software engineering, AI, or statistics.

What programming languages are required for the position?

Proficiency in at least one programming language is required, with Python being the preferred language.

What kind of machine learning experience is required for this position?

A strong machine learning background is required, specifically with Deep Learning experience using frameworks like TensorFlow, Keras, or PyTorch, along with time series modeling experience.

Are there any preferred qualifications for applicants?

Yes, preferred qualifications include experience with Large Language Models, knowledge of data science/machine learning libraries, experience in signal processing, and familiarity with big data/cloud technologies.

Will the co-op be involved in presenting analysis results?

Yes, the co-op will be responsible for analyzing data and presenting results to the larger Engineering team.

Is previous experience in the medical device industry important for this role?

While it is not mandatory, displayed interest in the medical device industry is preferred for this position.

Are there opportunities for process development and improvement in this role?

Yes, the co-op will provide input into process development and improvement as part of their responsibilities.

What kind of communication skills are important for this position?

Demonstrated communication skills, both written and verbal, are important for effectively conveying findings and collaborating with the team.

Does Abiomed have a commitment to diversity?

Yes, Abiomed is committed to a diverse workforce and maintains an equal opportunity employment policy.

Johnson & Johnson

Hospitals and Health Care

Science & Healthcare
Industry
10,001+
Employees

Mission & Purpose

Profound Change Requires Boldness. Johnson & Johnson is the largest and most diversified healthcare products company in the world. We’re producing life-changing breakthroughs every day, and have been for the last 130 years. The combination of new technologies and your expertise enables amazing things to happen. Those working in medical devices are 3-D printing artificial joints personalized for each patient, while researchers in pharmaceuticals use AI to discover lifesaving drugs. Imagine what the rest of our team of 134,000 people at 260 companies in more than 60 countries across the world is accomplishing. We redefine what it means to be a big company in today’s world.