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Statistics & Decision Sciences and Manufacturing and Applied Statistics Intern

Min Experience

0 years

Location

Leiden, South Holland, Netherlands

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

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:

BE009 Turnhoutseweg 30, CZ005 Walterovo Namesti, GB006 High Wycombe, NL021 Leiden Emmy Noetherweg

Job Description

Duration: 3-4 Months

Location: Belgium, Czech Republic, Netherlands, United Kingdom

Start Date: Summer 2025

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

Johnson & Johnson is the world's most comprehensive and broadly-based manufacturer of health care products, as well as a provider of related services, for the consumer, pharmaceutical, and medical devices markets. There are more than 250 Johnson & Johnson operating companies employing over 125,000 people and with products touching the lives of over a billion people every day, throughout the world. If you have the talent and desire to touch the world, Johnson & Johnson has the career opportunities to help make it happen.

J&J Innovative Medicine Research & Development, L.L.C, a member of Johnson & Johnson's Family of Companies, is recruiting for Manufacturing and Applied Statistics (MAS) and Statistics & Decision Sciences (SDS) Summer across multiple European locations. Virtual internships are potentially available. For MAS and SDS, summer internships are available for graduate students working towards a degree in Computer Science, Data Science, Statistics, or a related field. There are up to 2 positions available.

Students will have the opportunity to work with practicing statisticians and computing science specialists and to learn about practical, applied AI and statistical needs and solutions specific to clinical or nonclinical pharmaceutical industry settings. Our teams benefit from the student's academic training and in turn contribute to the further professional development of the student as well as have a first-hand opportunity to evaluate the student's potential for future employment.

Role Overview

In this role, students will be involved in activities such as:

LLM Fine-Tuning

  • Fine-tune a pre-trained LLM on historical pre-PPQ and PPQ data using supervised learning.
  • Explore the use of embedding-based vector search to enable accurate document retrieval.

Microservices Development

  • Implement the advisor functionality as RESTful APIs/microservices.
  • Ensure seamless integration with the MaSta UI and other JnJ applications/platforms.

Database Integration

  • Convert Truvault documents (stability analysis, pre-PPQ, and PPQ reports) from PDF/DOCX into text, generate word embeddings, and store them in a vector database for efficient semantic search.
  • Enable the AI advisor to process user prompts, query the vector database, and retrieve relevant results while ensuring data security and confidentiality.

Testing & Deployment

  • Perform rigorous testing to validate the system's performance.
  • Deploy the advisor feature within the MaSta UI, ensuring user-friendly access.

Qualifications

  • Be enrolled in an accredited European college/university pursuing the following degrees:, Bachelor’s, master’s or PhD Computer Engineering, Data Science, Computer Science, Mathematics, Statistics or a related field.
  • Be available to work full-time for 10-12 weeks (may depend on country specific internship requirements) during period of 1st June till 30th September.
  • You are legally authorized to work permanently in both the European Union and countries in Europe that are not part of the European Union, and not require sponsorship for employment visa status now or in the future.
  • Solid understanding of natural language processing (NLP) concepts, including transformer-based models (e.g., BERT, GPT).
  • Experience with data preprocessing techniques, including converting unstructured data (e.g., PDF/DOCX) into structured formats.
  • Familiarity with deep learning frameworks such as TensorFlow or PyTorch for fine-tuning and deploying language models.
  • Proficiency in Python, with experience in working with libraries for NLP, vector databases, and microservices development.
  • Practical experience with version control systems like Git for collaborative development.
  • Awareness of cloud-based solutions (e.g., AWS, Azure, or Google Cloud) for scalable model training and deployment is desirable.
  • Strong problem-solving skills and the ability to work independently and collaboratively in a team environment.
  • Effective communication skills in English, both written and verbal.

About the company

Johnson & Johnson is the world's most comprehensive and broadly-based manufacturer of health care products, as well as a provider of related services, for the consumer, pharmaceutical, and medical devices markets. There are more than 250 Johnson & Johnson operating companies employing over 125,000 people and with products touching the lives of over a billion people every day, throughout the world.

Skills

natural language processing
nlp
data preprocessing
pdf
docx
deep learning
tensorflow
pytorch
fine-tuning
language models
python
nlp
vector databases
microservices
git
cloud
aws
azure
google cloud