Senior Data Scientist

Role Summary

Senior Data Scientist to be located in Titusville, NJ. The role sits within the Commercial Data Sciences & Data Insights team of Johnson & Johnson Innovative Medicine, focused on crafting, developing, and fielding data science and artificial intelligence solutions that drive impact for patients and the company. You will lead data science initiatives, develop algorithms, and collaborate with matrixed teams across business and technology to deliver insights and business value.

Responsibilities

• You will stay on the cutting edge of Machine Learning, Artificial Intelligence, and Data Science. You will conduct research through novel project execution and development of algorithms that influence decisions at various levels in the organization. The role requires broad knowledge of NLP techniques, Machine Learning and AI, 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 an organization that supports multiple therapeutic areas and commercial functions.

Qualifications

• Required: Ph.D. or M.S. with 3+ years of industry experience in Data Science, Computer Sciences, Statistics, Machine Learning & Artificial Intelligence, or a related discipline.
• Required: Strong working knowledge of machine learning platforms/environments.
• Required: Strong working knowledge of machine learning techniques such as regression, decision trees, probability networks, association rules, clustering, neural networks, and/or Bayesian models.
• Required: Proficiency with one or more programming languages such as Python, R, SQL.
• Required: Experience delivering on data science projects using predictive technologies, data mining and/or text mining.
• Required: Strong communication skills and ability to communicate complex methods and results to diverse audiences.

• Preferred: Working knowledge of commercially available healthcare data sets.
• Preferred: Strong working knowledge of machine learning platforms/environments and experience implementing AI driven solutions:
• Preferred: Building end-to-end LLM powered solutions that drive business value
• Preferred: Evaluation, validation, and refinement of LLM frameworks and generative AI applications
• Preferred: Continual learning, prompting, and LLM fine tuning/PEFT
• Preferred: Familiarity with open-source and gated/paid model landscape

Skills

• Required 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 Analysis
• Preferred Skills: [see above for specifics in the preferred qualifications; listed but not duplicated here]