Principal Data Scientist

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 Med Tech, 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.

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Data Analytics & Computational Sciences

Data Science

Scientific/Technology

Titusville, New Jersey, United States of America

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.

We are searching for the best talent for Principal Data Scientist to be located in Titusville, NJ.

The Commercial Data Sciences & Data Insights team within Johnson & Johnson Innovative Medicine Business Technology organization is looking for an extraordinary Data Scientist who is passionate about crafting, developing, and fielding data science solutions that drive impact for patients and for Johnson & Johnson. There are many ways to explore and analyze data, and this powers the excitement and passion of data scientists at Janssen as many business units are eager to use the data to build business value.

In this role you will be someone who stays on the cutting edge of artificial intelligence, data science and advanced analytics research through novel project execution and development of algorithms that influence decisions at various levels in the organization, including but not limited to sales and marketing optimization, patient/payer analytics, commercial strategy, and relate commercially-focused model development. The role requires both a broad knowledge of existing AI-type algorithms and the creativity to invent and customize when necessary.

You will lead and deliver projects and develop solutions that in turn deliver insights. You will lead and work with matrixed teams across business and technology, and be part of a dynamic, accomplished organization that will support multiple therapeutic areas and commercial functions.

• Ph.D. with 3 years of experience, or M.S. with 5+ years of relevant pharma sales & marketing experience, in Computer Sciences, Statistics, Machine Learning & Artificial Intelligence, Physics, Molecular Biology, Bioinformatics, Computational Informatics, Medical Informatics, Computational Biology or a related discipline.
• Strong working knowledge of machine learning platforms/environments.
• Strong working knowledge of AI-type algorithms, including machine learning techniques such as regression, decision trees, probability networks, association rules, clustering, neural networks, and/or Bayesian models.
• Familiarity with large datasets, handling of healthcare relevant datasets and understanding of data analysis workflows.
• Proficiency with one or more programming language such as Python, R, SAS or Java.
• Proficiency with SQL.
• Experience with Pyspark.
• Experience delivering on data science projects using predictive technologies, data mining and/or text mining.
• Familiarity with working in a cloud-based technology stack.
• Familiarity with usage of Generative and Agentic AI for productivity improvement.
• Strong communication skills and ability to communicate complex methods and results to diverse audiences.

• Experience in the commercial pharmaceuticals business.
• Experience with sales and marketing best practices, processes, and related technology.
• Working knowledge of commercially available healthcare data sets.
• Working knowledge of machine learning platforms/environments and experience implementing AI driven solutions.
• Building end-to-end LLM powered solutions that drive business value.
• Evaluation, validation, and refinement of LLM frameworks and generative AI applications.
• Continual learning, prompting, and LLM fine tuning/PEFT.
• Familiarity with open-source and gated/paid model landscape.

Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis.

Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for…