Sr Data Scientist Prod AI&ML

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.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, neuroscience, and infectious disease. Our goal is to help people live longer, healthier lives.

About the role

The Productivity AI/ML team is recruiting a Senior Scientist - Data Science. The successful candidate will play a crucial role in utilizing Generative AI (GenAI), machine learning (ML), and natural language processing (NLP) methodologies to promote data-driven and automated clinical operations across various therapeutic areas. The ideal candidate will leverage, adapt, and extend ML and GenAI techniques to create pipelines supporting global clinical operations including enrollment forecasting, cost optimization, and country/site selection.

Primary locations: Hyderabad, India (Bangalore may be considered). Spain and the East Coast of USA are potential options.

Responsibilities

• Conceive, develop, and implement GenAI and ML solutions to support clinical trial operations.
• Fine tune and adapt large language models (LLMs) to create solutions including conducting comparative analytics on clinical trial protocols, trial similarity assessment, clinical trial data harmonization and standardization, and eligibility criteria evaluation.
• Leverage operational data sources and optimization techniques to create tools for developing scenarios with cost and enrollment optimization and deliver supporting real-world data insights.
• Contribute to patient modeling and enrollment simulations to have accurate projections for completion of enrollment.
• Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making.

Qualifications

• A Ph.D. degree in a quantitative discipline (e.g., computer science, statistics, biostatistics, health economics, biomedical informatics, epidemiology, applied mathematics, or similar).
• 2+ years of industry experience delivering on Data Science projects using predictive technologies, forecasting, multi-objective optimization, natural language processing, artificial intelligence, or machine learning.
• Hands-on experience with LLM application framework and tools (e.g., DSPy, LangChain), clinical/medical LLMs, and finetuning techniques.
• Proficiency with programming languages Python and SQL.
• Passionate about leveraging data to drive scientific innovation.
• Excellent interpersonal, communication, and presentation skills.

Skills

• Preferred: Familiarity with MLOps practices and tools.
• Preferred: Demonstrated experience in one of the following domains: real-world data (EHR, insurance claims, registry data), building patient cohorts, enrollment modeling, clinical trial analytics.
• Preferred: Experience working with healthcare professionals.
• Preferred: Ability to effectively communicate technical work to a wide audience.
• Advanced Analytics, Business Intelligence (BI), Coaching, Collaboration, 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.