Senior Principal Scientist, AI/ML for Drug Discovery and Development - Data Sciences Analytics & Insights, Data Sciences

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 https://www.jnj.com

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

New Brunswick, New Jersey, United States of America, Spring House, Pennsylvania, United States of America

Job Description:

J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. 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 Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/ 

Johnson & Johnson Innovative Medicine is recruiting for a Senior Principal Scientist - AI/ML  to help advance AI/ML for Drug Discovery and Development. The primary location for this position is USA (Spring House PA, New Brunswick NJ, Titusville NJ).

At Johnson & Johnson Innovative Medicine, we are working to create a world without disease—transforming lives by finding new and better ways to prevent, intercept, treat and cure disease. We bring together the best minds and pursue the most promising science. We are Johnson & Johnson Innovative Medicine. We collaborate with the world for the health of everyone in it.

The Data Science Analytics & Insights team within Johnson & Johnson Innovative Medicine develops innovative solutions using a variety of data sources across multiple different disease areas, encompassing oncology, cardiovascular and metabolic disorders, immunology, neuroscience, and infectious disease. We are looking for a highly motivated and innovative Senior Principal Scientist who will work at the intersection of AI/ML and Life Science.

Key Responsibilities:

• Conceive, develop, and deploy AI/ML models for applications such as multimodal biology, molecular property prediction, drug safety, generative molecule design, and AI-driven experimental design.

• Work closely with a cross disciplinary team of AI/ML scientists, imaging experts, structural biologists, and computational chemists to design and implement computational approaches, analyze and interpret results, and communicate findings through internal presentations, conferences and scientific publications

• Manage and mentor junior scientists and lead/manage project initiation and execution

• Participate in cross-functional collaborations with external companies, academia, and internal scientific and data science teams

• Extensive hands-on coding and actively contribute to platform development

• Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making findings through peer-reviewed publications and/or scientific conferences

Qualifications

• Ph.D. in Electrical Engineering, Computer Science, Statistics, Applied Mathematics, or related field, with at least four years of post-graduate experience.

• Strong background in artificial intelligence / machine learning with an established track record (publication in top-tier conferences/journals e.g. ICML, ICLR, AAAI, NeurIPS, CVPR etc, awards, patents, white papers)

• Proficiency with one or more programming languages such as Python or C++. Proficiency in one or more AI frameworks such as PyTorch or Tensorflow

• Extensive experience with one or more AI/ML fields including Generative Modeling/Geometric Deep Learning/Computer Vision/LLM/Bayesian Optimization / Bayesian Deep Learning / Causal AI etc

• Extensive experience and familiarity with drug discovery and clinical development processes

• Demonstrated proficiency in working with Foundation Model