Senior Scientist, In Silico Discovery

At Johnson & Johnson,we believe health is everything.

Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions 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 jnj.com .

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We provide an inclusive work environment where each person is considered as an individual.

At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:
Discovery & Pre-Clinical/Clinical Development

Job Sub Function:
Chemical Research

Job Category:
Scientific/Technology

All Job Posting Locations:
Beerse, Antwerp, Belgium, La Jolla, California, United States of America, Spring House, Pennsylvania, United States of America

Job Description:

Senior Scientist, In Silico Discovery, J&J IM

At Johnson & Johnson,we believe health is everything.

Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions 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.

We have two positions for talented computational Senior Scientists in CADD technology development, joining our cutting-edge In Silico Discovery department within Therapeutics Discovery at J&J.

The CADD technology development group is focused on increasing the impact of advanced physics- and structure-based methods, including MD, FEP, and co-folding, across the portfolio, with particular emphasis on sophisticated workflows and automation efforts.

Belgium is the primary location but California and Pennsylvania will be considered.

The positions involve developing computational methods and workflows in structure-based drug design, physics-based modeling, and co-folding to advance our early drug discovery portfolio.

A particular focus will be structure-based automation within autonomous design-make-test-analyse (DMTA) cycles.

The two scientists will play a major role in building structure-based components and workflows for this automated environment.

Candidates should understand the computational chemistry steps and tools used in structure-based discovery and have strong coding and development skills to accelerate our efforts in this area.

A key objective will be to advance the core automated functionality from its current prototype stage to full portfolio deployment over the coming years.

The scientists will work c...