Degree in Artificial intelligence- AI
Degree in Biomedical Engineering
Aartificial intelligence, Computer Vision (CV), Deep Learning, Effective communication skills, Machine learning techniques, Python Programming, PyTorch, TensorFlow
With $85.2 billion in consolidated sales for 2023, Johnson & Johnson is the world's most comprehensive and broadly based manufacturer of health care products, as well as a provider of related services, for the consumer, pharmaceutical, and medical devices and diagnostics markets. There are more than 250 Johnson & Johnson operating companies employing approximately 130,000 people in 60 countries throughout the world.
The Data Science Analytics & Insights team 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 Postdoctoral Fellow who will work at the intersection of AI/ML, Computer Vision/Bioimaging, Multi-task Prediction and Molecule Design .
Key responsibilities:
QUALIFICATIONS
Qualifications:
Salary: The US base pay for this position is $90,000
Benefits: Employees may be eligible to participate in Company employee benefit programs such as health insurance, savings plan, pension plan, disability plan, vacation pay, sick time, holiday pay, and work, personal and family time off in accordance with the terms of the applicable plans. For additional general information on company benefits, please go to: https://www.careers.jnj.com/employee-benefits
Johnson & Johnson (J&J) is an American multinational healthcare company specializing in pharmaceuticals, medical devices, and consumer health products. Founded in 1886 and headquartered in New Brunswick, New Jersey, it owns brands like Tylenol, Band-Aid, and Neutrogena. J&J is a global leader in drug development, surgical innovations, and health solutions, shaping modern medicine.
Rhein-Kreis Neuss, Germany
0-2 year
High Wycombe, UK
2-4 year