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:
Data Analytics & Computational Sciences
Job Sub Function:
Data Science
Job Category:
Scientific/Technology
All Job Posting Locations:
Titusville, New Jersey, United States of America
Job Description:
Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine .
Johnson & Johnson Innovative Medicine Supply Chain (IMSC) Data Science and AI group is seeking a skilled and motivated Lead Data Scientist to play a key role in our transformation journey. In this position, you will apply innovative analytics to drive business improvement and create a competitive advantage, enhancing data-driven decision-making across the supply chain and beyond. The ideal candidate will work closely with business stakeholders to understand requirements, explore and experiment with cutting-edge AI/ML solutions, and clearly communicate methodologies and results to both technical and non-technical audiences.
This hybrid position may be based at any Johnson & Johnson office in New Jersey (Titusville, Horsham, or Raritan) in USA, Switzerland (Zug, or Schaffhausen), Ireland (Cork), Netherlands (Leiden) and Belgium (Beerse). If you are passionate about leveraging data science to address real-world challenges and foster innovation in a global environment, we encourage you to apply.
Key Responsibilities:
Collaborate with cross-functional teams to understand business challenges and requirements, identify AI-driven opportunities, and ensure effective deployment of AI solutions.
Research, experiment with, and implement cutting-edge AI/ML solutions (such as natural language processing, deep learning, and predictive analytics, graph) to transform structured and unstructured data into business-critical insights.
Evaluate and refine AI models to enhance accuracy, efficiency, trustfulness and business impact in decision-making processes.
Clearly articulate methodologies, results, and insights to non-technical users and stakeholders, and present AI-driven recommendations to senior leadership to ensure strategic alignment and impact.
Education and Experience:
Bachelor's degree in statistics, applied mathematics, computer science, engineering, or a related quantitative discipline is required.
Master's or PhD in a quantitative field such as statistics, applied mathematics, computer science, engineering, or a related discipline from an accredited college or university is preferred.
4-6 years of industry experience solving business problems through the application of statistical modeling, machine learning, deep learning, generative AI, and Retrieval-Augmented Generation (RAG) techniques.
Qualifications:
Excellent problem-solving skills and ability to work collaboratively in a team setting.
Solid understanding of Natural Language Processing (NLP) techniques and Generative AI (GenAI) applications.
Advanced knowledge of machine learning algorithms, including classification, regression, clustering, reinforcement learning, and anomaly detection.
Excellent communication and presentation skills, with the ability to convey complex technical concepts to both technical and non-technical audiences.
Strong hands-on experience with Python and relevant packages (e.g., Transformers, LangChain, LangGraph, ag2, vLLM, etc.).
Preferred Qualifications:
Deep understanding of agentic AI approaches, including the development of AI agents
Exposure to containerization technologies (e.g., Docker) and cloud platforms (e.g., Azure) is a plus.
Working knowledge of vector databases (e.g., Elasticsearch, Pinecone, FAISS, Weaviate) for information and knowledge retrieval.
Strong familiarity with Git and version control best practices, with the ability to write clean, maintainable, and well-documented code.
Solid understanding of RESTful API design principles and web service architecture.
Other
May require up to 10% of domestic and international travel
The anticipated base pay range for this position is :
124,950 - 169,050
Additional Description for Pay Transparency:
The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. - Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. - Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). - Employees are eligible for the following time off benefits: o Vacation - up to 120 hours per calendar year o Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington - up to 56 hours per calendar year o Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year - Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits
