Data Science Intern at Data Science and Digital Health (DSDH)

CH002 Gubelstrasse, Zug, Switzerland

Johnson & Johnson

Johnson &Johnsonis a leading wholesale broker with commercial and personal lines expertise.

View all jobs at Johnson & Johnson

Apply now Apply later

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com

Job Function:

Career Programs

Job Sub Function:

Non-LDP Intern/Co-Op

Job Category:

Career Program

All Job Posting Locations:

Zug, Switzerland

Job Description:

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.

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 2025 or one school semester/quarter and expect the interns to conduct research and development of genAI based automation systems, write 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 R and data manipulation libraries such as NumPy and pandas.
  • Knowledge of SQL and relational databases
  • Practical ML experience
  • Familiarity working with cloud computing environment such as Azure, AWS, or GCP

Preferred Qualifications

  • Understanding of state machines such as AWS Step, Langgraph or similar frameworks
  • Strong command of and interest in Biomedicine
  • Research experience related to ML, deep learning (DL), NLP, CV and general DS
  • Published and/or presented papers at any recognized conferences or journals
  • Contributions to open-source projects and/or ML competitions

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.


Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center  (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource.

Apply now Apply later
Job stats:  6  1  0

Tags: AWS Azure Bioinformatics Biology Computer Science Deep Learning Engineering GCP Generative AI Machine intelligence Machine Learning Mathematics NLG NLP NLU NumPy Open Source Pandas Python R RDBMS Research SQL Statistics STEM

Perks/benefits: Career development Conferences

Region: Europe
Country: Switzerland

More jobs like this