DATA SCIENCE CO-OP

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 , 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 PREFFERED 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 will not discriminate against any worker or job applicant on the basis of race, color, religion, gender, gender identity, national origin, ancestry, age, sexual orientation, gender identity, marital or civil partnership status, pregnancy, gender reassignment, non-job related mental or physical disability, genetic information, veteran status, military service, application for military service, or membership in any other category protected under law.
Abiomed maintains a drug-free workplace.