Sr Data Scientist Prod AI&ML

Johnson & Johnson Co.; Nandigama; Sur place; INR 1 500 000 - 2 600 000; Plein temps

Résumé du poste

Johnson & Johnson Innovative Medicine’s Productivity AI/ML team seeks a Senior Scientist - Data Science in Hyderabad, India. The role focuses on GenAI, ML, and NLP to drive automated clinical operations across therapeutic areas, with Hyderabad as primary location and optional roles in Bangalore, Spain, or East Coast USA.

The candidate will leverage ML/GenAI to support enrollment forecasting, cost optimization, and country/site selection, collaborating with cross-functional teams to translate

Qualifications

• PhD in a quantitative discipline.
• 2+ years industry experience delivering Data Science projects.
• Hands-on experience with LLM application frameworks (e.g., DSPy, LangChain).
• Proficiency with Python and SQL.
• Strong communication and presentation skills.

Responsabilités

• Conceive and implement GenAI and ML solutions to support clinical trial operations.

Connaissances

Python

SQL

LLM frameworks

Communication

Team collaboration

Formation

PhD in quantitative discipline

Outils

DSPy

LangChain

Description du poste

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. Learn more at jnj.com.

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.

Job Function

Data Analytics & Computational Sciences

Job Sub Function

Data Science

Job Category

Scientific/Technology

All Job Posting Locations

Bangalore, Karnataka, India, Barcelona, Spain, Cambridge, Massachusetts, United States of America, Madrid, Spain, PENJERLA, Telangana, India, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description

Job Summary: Postdoctoral Scientist (AI/ML)

J&J Innovative Medicine - 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. The primary location for this position is Hyderabad, India, with Bangalore, India may be considered. Spain and the East Coast of USA are potential options.

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. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market – from patients to practitioners and from clinics to hospitals. To learn more about J&J Innovative Medicine, visit https://www.jnj.com/innovative-medicine

Key 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.

Required 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,
• Hand-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.

Preferred Qualifications

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

Thriving on a diverse company culture and celebrating the uniqueness of our employees, we are committed to inclusion. We are proud to be an equal opportunity employer.

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Preferred Skills

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