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:
Career Programs
Job Sub Function:
Post Doc - Data Analytics & Computational Sciences
Job Category:
Career Program
All Job Posting Locations:
High Wycombe, Buckinghamshire, United Kingdom, Leiden, Netherlands, Leiden, South Holland, Netherlands, Mechelen, Antwerp, Belgium, Zug, Switzerland
Job Description:
Postdoctoral Scientist - AI/ML for Drug Design - Data Sciences Analytics & Insights, Data Sciences, Johnson & Johnson Innovative Medicine
Johnson & Johnson Innovative Medicine is recruiting for a Postdoctoral Scientist - AI/ML to help advance AI/ML for Drug Design. The primary location for this position is High Wycombe, UK, or in Switzerland, Netherlands, Belgium, Germany and France, with up to 10% travel.
Remote working options will be considered on a case by case basis.
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 disease areas, including oncology, cardiovascular and metabolic disorders, immunology, neuroscience, and infectious disease. We are looking for a highly motivated and innovative Postdoctoral Fellow who will work at the intersection of AI/ML and Drug Design.
Key Responsibilities:
* Conceive, develop, and implement AI/ML solutions applied to drug design problems, including molecule structure prediction and molecular property prediction, to help identify potential effective drugs.
* Collaborate with AI/ML scientists, imaging experts, structural biologists, and computational chemists to design computational approaches, analyze results, and communicate findings through presentations, conferences, and publications.
* Participate in cross-functional collaborations with external companies, academia, and internal teams.
* Engage in hands-on coding and contribute to platform development.
* Communicate technical methods and results to diverse audiences and partners to support decision-making, through publications and conferences.
Qualifications:
* Ph.D. in EE/CS/Statistics/Applied Math or related fields.
* Deep expertise in causality, Bayesian methods, or related areas.
* Strong background in probabilistic models such as Gaussian processes, Bayesian deep learning, or dynamical systems.
* Publication record in top machine learning conferences or journals.
* Proficiency in programming languages like Python or C++, and frameworks such as PyTorch or TensorFlow.
* Excellent communication skills.
* Ability to work independently and collaboratively.
* Familiarity with drug discovery and clinical development is a plus.
* Experience with cloud computing and containerization is a plus.
Training Opportunities:
* Gain experience in the pharmaceutical industry.
* Navigate and work within a matrix environment.
* Enhance communication and presentation skills for diverse audiences.
For more information on company benefits, visit https://www.careers.jnj.com/employee-benefits
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