Senior Scientist, Data Science - AI/ML applied to Drug Design (JRD DS)

Key Skills

Aartificial intelligence, C++, Computer Vision (CV), Data science techniques, Deep Learning, Design, Large Language Models - LLMs, Leadership Skill, Machine learning techniques, Python Programming, PyTorch, TensorFlow

Job Description

Senior Scientist Position on AI/ML applied to Drug Design - Data Science Analytics & Insights, Data Science, Janssen R&D

Janssen Research & Development LLC, a Johnson & Johnson company, is recruiting for a Senior Scientist to help advance AI/ML for Drug Design. The primary location for this position is Titusville, NJ, but exceptionally skilled candidates may be considered for other Janssen R&D Locations such as South San Francisco, CA; San Diego, CA; Spring House, PA; or Cambridge, MA with up to 10% travel.

At Janssen, 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 Janssen. We collaborate with the world for the health of everyone in it. Learn more at www.janssen.com and follow us @JanssenGlobal. Janssen Research & Development, LLC is part of the Janssen Pharmaceutical Companies.

The Data Science Analytics & Insights team within Janssen R&D 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 Scientists who will work at the intersection of AI/ML, Computer Vision and Molecule Design.

Key responsibilities:

• Conceive, develop, and implement AI/ML solutions applied to drug design problems, including but not limited to, processing and analysis of large scale imaging and assay data (e.g. high content imaging, cryogenic electron microscopy, tissue imaging, and medical imaging), molecule structure predictions, molecule property predictions, and AI-based optimization
• Lead design of analytical components and technical execution of a project, and drive end-to-end analyses, including consolidation/packaging
• Work closely with a cross disciplinary team of data and AI scientists, imaging experts, structural biologists, and computational chemists, and leverages cross-domain expertise to contribute to a rigorous scientific evidence package strategically aligned with molecule development cycle
• Leads drafting of scientific publications and patents
• Extensive hands-on coding and actively contribute to platform development
• May supervise contractors, students, and more junior colleagues

Qualifications

• Ph.D. in EE/CS/Statistics/Applied math or related majors, with at least 2 year of relevant industry experience (or highly relevant postdoc experience, on a case-by-case basis)
• Strong technical expertise in AI / deep learning with excellent analytical skills in at least one domain area with proven track records (publication in top-tier journals, awards, patents, white papers)
• Proficiency with one or more programming language such as Python or C++. Proficiency in one or more AI framework such as Pytorch or Tensorflow
• Extensive, hands-on experience in AI/ML in related applications such as AI-based Drug Design / Computer Vision / Large Language Models/ Geometry Learning / and other related field.
• Is able to present analytical results on behalf of the project team to senior leadership
• Can influence or persuade others to accept new ideas, approaches or concepts and on the direction of projects and manage stakeholders through project execution

The anticipated base pay range for this position is 111,000 - 192,000 USD

At Johnson & Johnson, we’re on a mission to change the trajectory of health for humanity. That starts by creating the world’s healthiest workforce. Through cutting-edge programs and policies, we empower the physical, mental, emotional and financial health of our employees and the ones they love. As such, candidates offered employment must show proof of COVID-19 vaccination or secure an approved accommodation prior to the commencement of employment to support the well-being of our employees, their families and the communities in which we live and work.