Description

Janssen Research & Development, L.L.C., a division of Johnson & Johnson's Family of Companies is recruiting for a Principal Scientist, Generative Biologics Design and Optimization , located in Spring House, PA.

At the Janssen Pharmaceutical Companies of Johnson & Johnson, we are working to build a world without disease. Transforming lives by finding new and better ways to prevent, intercept, treat and cure disease inspires us. 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.

This is a technical position in the Integrated Platform Optimization team within the In Silico Discovery organization, which provides computational support to accelerate and enhance discovery of the best drug candidates across all therapeutic modalities. This role will specifically interact with several functional groups across the Biologics Discovery organization to support the discovery and optimization of protein-based therapeutics. The successful candidate will work collaboratively between our functional groups and across organizations, including Biologics Discovery and Data Sciences, to develop deep generative modeling platforms that leverage large-scale datasets to accelerate our protein engineering and optimization workflows.

Qualifications

Required:

• Ph.D. in Computer Science, Bioinformatics, Computational Biology or related field with at least 5 years of experience directly applied to problems in the Biotechnology and Pharmaceutical sectors
• Proven track record of developing and applying tools from generative deep learning to model complex biological systems
• Proficient in building customized deep learning models using libraries such as PyTorch, Keras/TensorFlow
• Strong working knowledge of protein structure-function relationships and state-of-the-art deep learning-based approaches for protein structure prediction and optimization

Preferred:

• Experience in using cloud-based and GPU-accelerated compute platforms
• Strong statistical understanding of advanced topics in machine learning and artificial intelligence
• Ability to work in multi-disciplinary teams, excellent interpersonal skills
• Excellent organization and communication skills, with the ability to convey complex computational concepts effectively to a non-expert audience
• Experience with tools for complex data visualizations (e.g. Spotfire, Vortex, Tableau)
• Hands-on wet lab experience, design of experiments

Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit www.careers.jnj.com (http://www.careers.jnj.com).