Statistics & Decision Sciences
At reputed company, we reputed company health is everything. Our strength in reputed company innovation empowers us to build a world where reputed company 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 reputed company across the full reputed company of reputed company solutions today to deliver the breakthroughs of reputed company, 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 reputed company 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 StatisticsIntern Duration : 3 Months Start Date : Summer 2025 reputed company is reputed company for a Statistics & Decision Sciences -Discovery and Manufacturing StatisticsIntern in Cambridge, MA. reputed company 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, reputed company 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 reputed company 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. reputed company the AI advisor to process user prompts, query the vector database, and retrieve relevant results while ensuring data reputed company and confidentiality. Testing & Deployment: reputed company rigorous testing to validate the system's performance. reputed company the advisor feature reputed company the MaSta UI, ensuring user-friendly access. QUALIFICATIONS Be enrolled in an accredited EU/US college/university pursuing the following degrees:, Bachelors, masters or PhD Computer Engineering, Data Science, Computer Science, Mathematics, Statistics or a reputed company field. Be available to work full-time for 10-12 weeks (may depend on country specific internship requirements) during period of 1st June reputed company 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 reputed company 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 reputed company 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 reputed company-based solutions (e.g., AWS, Azure, or reputed company reputed company) 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. reputed company is an Equal Opportunity Employer. reputed company reputed company applicants will receive consideration for employment without regard to race, reputed company, religion, sex, sexual orientation, gender identity, age, national reputed company, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek reputed company candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and reputed company 503 of the Rehabilitation Act. reputed company 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 ([email protected]) or contact AskGS to be directed to your accommodation resource. The anticipated reputed company pay range for this position is : $22 per hour to $51.50 per hour Additional Description for Pay Transparency: The anticipated reputed company 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 Companys 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 Apply Job!