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

About This Role

This role involves conceiving, developing, and deploying cutting-edge AI/ML models to drive drug discovery and development at Johnson & Johnson Innovative Medicine. The Senior Principal Scientist will lead projects, mentor junior scientists, and collaborate across disciplines to innovate healthcare solutions.

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
• 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

Requirements

• 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 Models and Generative Modeling techniques
• Excellent written and verbal communication skills
• Ability to work independently and as part of a team

Qualifications

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

Nice to Have

• Hands-on technical data analysis
• Cloud computing (AWS, Azure)
• Dockerization

Skills

* Required skills

Benefits