Sr Data Scientist Prod AI&ML

Johnson & Johnson Innovative Medicine

2d

About The Position

Johnson & Johnson Innovative Medicine’s Productivity AI/ML team is recruiting a Senior Scientist in Data Science to use generative AI, machine learning, and natural language processing to advance data-driven and automated clinical operations across therapeutic areas. The role develops and extends methods and pipelines that support global clinical operations, including enrollment forecasting, cost optimization, and country and site selection. The primary location is Hyderabad, India; Bangalore, India, Spain, and the East Coast of the United States are also listed as potential locations.

Johnson & Johnson Innovative Medicine develops treatments across areas including oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, neuroscience, and infectious disease. The role works on AI/ML solutions for clinical trial operations and communicates technical methods and findings to diverse audiences and partners to support decision-making.

Requirements

• Ph.D. in a quantitative discipline such as computer science, statistics, biostatistics, health economics, biomedical informatics, epidemiology, applied mathematics, or a similar field.
• At least 2 years of industry experience delivering data science projects using predictive technologies, forecasting, multi-objective optimization, natural language processing, artificial intelligence, or machine learning.
• Hands-on experience with LLM application frameworks and tools such as DSPy or LangChain, clinical or medical LLMs, and fine-tuning techniques.
• Proficiency in Python and SQL.
• Passion for using data to drive scientific innovation.
• Excellent interpersonal, communication, and presentation skills.

Nice To Haves

• Familiarity with MLOps practices and tools.
• Demonstrated experience in at least one of these domains: real-world data such as EHR, insurance claims, or registry data; patient cohort building; enrollment modeling; or clinical trial analytics.
• Experience working with healthcare professionals.
• Ability to communicate technical work effectively to a wide audience.

Responsibilities

• Conceive, develop, and implement generative AI and machine learning solutions for clinical trial operations.
• Fine-tune and adapt large language models for applications such as comparative analysis of clinical trial protocols, trial similarity assessment, clinical trial data harmonization and standardization, and eligibility criteria evaluation.
• Use operational data sources and optimization techniques to develop cost and enrollment scenarios and provide supporting real-world data insights.
• Contribute to patient modeling and enrollment simulations to produce accurate enrollment completion projections.
• Clearly communicate technical methods and results to diverse audiences and partners to support decision-making.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree