Postdoctoral Scientist (NLP/ML) Full Time

J&J Innovative Medicine – R&D Data Science Analytics & Insights team is recruiting a Postdoctoral Scientist. The successful candidate will play a role in applying machine learning (ML) and natural language processing (NLP) methodologies to promote data-driven and automated clinical operations across various therapeutic areas. The candidate will leverage, adapt, and extend ML and NLP techniques to build pipelines supporting global clinical operations including site selection. The location for this position is flexible – either; Titusville, NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; New York City, NY; San Diego, CA; South San Francisco, CA; Beerse, Belgium; remote may also be considered.

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:// https://www.jnj.com/innovative-medicine

Key Responsibilities

• Conceive, develop, and implement ML and NLP solutions to high-priority scientific problems,
• Fine tune and adapt large language models (LLMs) to support clinical trial operation including conducting comparative analytics on clinical trial protocols, trial similarity assessment and eligibility criteria evaluation,
• Leverage operational data sources and optimization techniques to create tools for developing scenarios with cost and enrollment optimization and deliver related real-world data insights,
• Contribute to patient modeling and enrollment simulations to have accurate projections for completion of enrollment,
• Shape internal/external collaborations and define the scope of research questions,
• Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making.
• A Ph.D. degree in a quantitative field (e.g., computer science, statistics, biostatistics, health economics, biomedical informatics, epidemiology, applied mathematics, or similar),
• Experience with ML, NLP, and optimization techniques,
• Hand-on experience with clinical/medical LLMs and fine-tuning techniques,
• Proficiency with programming languages Python and SQL,
• Passionate about using data to drive scientific innovation,
• Excellent interpersonal, communication, and presentation skills.

Preferred qualifications:

• Experience delivering on Data Science projects using predictive technologies, forecasting, multi-objective optimization, natural language processing, artificial intelligence, or machine learning,
• 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.

Expected Base Salary: $95,000

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.

Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

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