Principal Scientist, Generative Biologics Design and Optimization

Key Skills

Aartificial intelligence, Bioinformatics, Deep Learning, Design, Effective communication skills, GPUs, Keras software library, Machine learning techniques, Optimization, PyTorch, TensorFlow

Job Description

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.

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