Lead Data Scientist
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Job Location:
Zug - Switzerland
Monthly Salary:
Not Disclosed
Posted on:
12 hours ago
Vacancies:
1 Vacancy
Job Summary
At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are 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 more at
Job Function:
Data Analytics & Computational SciencesJob Sub Function:
Data ScienceJob Category:
Scientific/TechnologyAll Job Posting Locations:
Zug SwitzerlandJob 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 & 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 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.
- Experiment 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.
- Continuously review and analyze academic research and industry publications evaluate state-of-the-art AI/ML methodologies and prototype innovative solutions to address real-world business problems.
- 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:
- Bachelors degree in statistics applied mathematics computer science engineering or a related quantitative discipline is required.
- Masters 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.
- 46 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:
- Advanced knowledge of traditional machine learning and deep learning foundations and algorithms including classification regression clustering transformer reinforcement learning and anomaly detection.
- Solid understanding of Natural Language Processing (NLP) techniques and Generative AI (GenAI) applications.
- Strong hands-on experience with Python and relevant packages (e.g. Transformers LangChain LangGraph AG2 vLLM pydantic etc.).
- Excellent communication and presentation skills with the ability to convey complex technical concepts to both technical and non-technical audiences.
- Excellent problem-solving skills and ability to work collaboratively in a team setting.
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
Required Skills:
Preferred Skills:
Advanced Analytics Business Intelligence (BI) Coaching Collaborating Critical Thinking Data Analysis Database Management Data Privacy Standards Data Reporting Data Savvy Data Science Data Visualization Econometric Models Process Improvements Technical Credibility Technologically Savvy Workflow AnalysisRequired Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
About Johnson & Johnson A t Johnson & Johnson, we believe good health is the foundation of vibrant lives, thriving communities and forward progress. That’s why for more than 130 years, we have aimed to keep people well at every age and every stage of life. Today, as the world’s larges ... View more
