Intern Data Sciences LLM

Found in: beBee jobs US - 1 week ago


Hopewell Township, United States Johnson & Johnson Full time
Johnson & Johnson is recruiting for a Data Science Intern at Data Science and Digital Health (DSDH) located in listed New York, NY; Titusville, NJ (USA) or Remote in USA, UK, Switzerland, Germany, or Belgium.

Caring for the world, one person at a time has inspired and united the people of Johnson & Johnson for over 130 years. We adopt research and science -- bringing innovative ideas, products and services to advance the health and well-being of people.

The Machine Intelligence (MI) organization at J&J Data Science and Digital Health (DSDH) are hiring a student intern enrolled in educational programs in STEM areas. We are recruiting the interns for Summer 2023 or one school semester/quarter and expect the interns to conduct a research study for a given topic, explore data analysis followed innovative modeling and write a conference paper, white paper, or blog post based on J&J publication policy.

The interns will be supervised and mentored by at least one JnJ Scientist with relevant background.

We consider applicants with the following background as preferred candidates:
  • Natural language processing (NLP), understanding (NLU), and generation (NLG)
  • Bioinformatics and Computational Biology
  • Machine learning and statistics

Basic Qualifications

Education:

Currently enrolled in degree program (BS, MS, or Ph.D.) or a post-graduate non-degree program in Bioinformatics, Electrical Engineering, Computer Science, Mathematics, or related field with specialization in computational biology, ML, NLP, Deep Learning, data science or related fields.

Experience and Skills:
  • Strong understanding of programming languages such as Python and Scala or R and ML libraries and frameworks such as NumPy, SciPy, PyTorch and TensorFlow.
  • Knowledge of SQL and relational databases or XML and XPATH
  • Practical ML experience
  • Familiarity working with cloud computing environment such as Azure, AWS, or GCP

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