Massachusetts Education Jobs

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:

Boston, Massachusetts, United States of America, Cambridge, Massachusetts, United States of America, Lexington, Massachusetts, United States of America, Minneapolis, Minnesota, United States of America, New Brighton, Minnesota, United States of America, Plymouth, Minnesota, United States of America, Raritan, New Jersey, United States of America, Shoreview, Minnesota, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

Statistics & Decision Sciences - Discovery and Manufacturing Statistics Intern

Duration : 3 Months

Start Date : Summer 2025

Johnson & Johnson is recruiting for a Statistics & Decision Sciences - Discovery and Manufacturing Statistics Intern in Cambridge, MA.

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 EU/US 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 EU/US, 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.

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.

The anticipated base pay range for this position is :

$22 per hour to $51.50 per hour

Additional Description for Pay Transparency:

The anticipated base pay for this position is between $22 per hour and $51.50 per hour but will be based on candidate's program year, discipline, degree and/or experience. This position is overtime eligible. Intern/Co-ops may be eligible to participate in Company employee benefit programs such as medical insurance, sick time, holiday pay, and the Company’s consolidated retirement plan in accordance with the terms of the applicable plans. Housing stipend will be offered for those that qualify. This position is ineligible for severance. For additional general information on Company benefits, please go to: https://www.careers.jnj.com/employee-benefits