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 DESCRIPTION:

Senior Scientist on AI/ML for Drug Design - Data Sciences Analytics & Insights, Data Sciences, Johnson & Johnson Innovative Medicine
Johnson & Johnson Innovative Medicine is recruiting for a Senior Scientist - AI/ML to help advance AI/ML for Drug Design. The primary location for this position is UK/Europe.
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 Scientist who will work at the intersection of AI/ML and Drug Design.

QUALIFICATIONS

• Ph.D. in EE/CS/Statistics/Applied math/Computational Biology or related majors
• Strong background in artificial intelligence / machine learning with an established track record (publication in top-tier conferences/journals, 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 Bayesian Optimization / Bayesian Deep Learning / Probabilistic Machine Learning, Causal Inference and discovery
• 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
• Familiarity with and exposure to drug discovery and clinical development processes is a plus
• Hands-on technical data analysis, cloud computing (AWS, Azure), and dockerization is a plus

• Conceive, develop, and implement AI/ML solutions applied to drug design problems, including but not limited to, molecule structure generation/prediction and molecular property prediction, to help identify molecules that have the potential to become effective drugs
• 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
• 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