Heading
Cambridge, MA
Internship
Remote
Intern
Johnson & Johnson develops medical devices, pharmaceuticals, and consumer packaged goods. They are seeking a Data Science Intern to work on advanced data science and analytics projects, focusing on machine learning applications in healthcare.
Apply NowResponsibilities
- Work with colleagues in the JNJ Innovative Medicine R&D Data Science & Digital Health organization
- Partner with key businesses across JNJ Innovative Medicine to apply advanced data science and analytics to answer key research questions
- Work on cutting-edge problems at the intersection of machine learning and healthcare
- Be a member of a dynamic team comprising data scientists and subject matter experts to create and iterate on data science solutions
- Development of applied natural language processing (NLP) tools
- Leveraging Large Language Models (LLMs) for clinical information extraction
- Clinical code mapping from unstructured documents
- Time-series predictive modeling for enrollment forecasting using advanced machine learning techniques
Qualification
Required
- Currently pursuing a master’s or PhD degree in Computer Science, Electrical, Computer, or Biomedical Engineering, or a related quantitative discipline.
- Strong working knowledge of conventional machine learning techniques and advanced NLP tools, including Large Language Models (LLMs).
- Experience conducting systematic experimentation and comparative analysis in machine learning, including ablation experiments.
- Strong coding abilities with proficiency in Python and SQL.
- Strong technical communication and presentation skills.
- Must be 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. Students currently on CPT, OPT, or STEM OPT usually requires future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.
Preferred
- Experience in applied machine learning in healthcare.
- Prior work conducting systematic experimentation and comparative analysis between language models including LLMs for medical entity recognition and clinical code classification.