Senior Scientist, Discovery Data Science - (1 Of 2 Positions)

Johnson & Johnson Innovative Medicine is recruiting for a Senior Scientist, Discovery Data Science to help advance Artificial Intelligence/Machine Learning (AI/ML) for Drug Discovery. The preferred location for this position is our R&D site in La Jolla - CA. Consideration may be given to candidates located near other R&D sites in Spring House, PA or Beerse, Belgium. Remote work options in the US may be considered on a case-by-case basis and if approved by the Company.

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/.

Within Janssen R&D, the Therapeutics Discovery organization is continuing to build the key scientific expertise to bring ground-breaking new medicines to patients; we invest in medicinal chemistry, screening, and pharmacology, and in the computational and data science fields that inspire and inform them.

Many aspects of the drug discovery process are being partially virtualized: modelling methodologies prescreen existing or virtual molecules (including antibodies, degraders, etc.) for relevant properties, and focusing experimental bandwidth to make and test those molecules that hold the most promise.

The Senior Scientist will invent, internalize, and apply creative yet scientifically sound data science solutions to virtually assess molecules in the broadest possible sense. The position's scope includes methodological innovation as well as crafting data generation, acquisition, and alliance strategies.

The successful candidate will be actively involved in method development and project support in collaboration with data science teams, computational and experimental protein scientists, computational and medicinal chemists, project biologists, toxicology and pharmacokinetics and IT colleagues.

Key responsibilities include:

• Contribute to developing data science applications with a focus on antibodies and targeted protein degradation discovery across different therapeutic areas and projects.

• Bridge between experimental and groundbreaking digital technologies, expertise in machine learning and artificial intelligence (AI) as applied to drug discovery.

• Interact in a team environment built on trust and collegiality.

• Communicate effectively and encourage colleagues to do so.

• Evaluate and make recommendations regarding the internalization, conceptualization and development of building of innovative technologies.

• Impact sound application of science within the company and beyond.

• Publish in peer-reviewed journals and present at scientific meetings.