The Discovery Sciences organization within Janssen R&D is continuing to build key scientific expertise in screening, pharmacology and chemistry to develop groundbreaking peptide-based medicines in the areas of Oncology, Immunology, Neuroscience, Cardiovascular, and Infectious Diseases.

We are exploring novel physics-based and machine learning-based methods for modeling peptide conformation and physico-chemical properties, including cyclic peptides incorporating non-canonical amino acids.

AS A POST-DOCTORAL FELLOW IN THE COMPUTATIONAL CHEMISTRY GROUP, YOU WILL:

• Be part of an industry leading peptide discovery and development group and have an opportunity to influence the evolution of this emerging and rapidly growing therapeutic modality.
• Develop novel algorithms based on physics-based biomolecular simulations and machine-learning for high throughput prediction of conformational landscape of cyclic peptides with non-canonical amino acids.
• Survey the literature to curate datasets of peptide structures and physico-chemical properties and identify gaps where additional data is likely to improve models. 
• Develop statistical and machine learning models for prediction of physico-chemical properties of peptides and benchmark the models on internal and literature data.
• Clearly communicate the results through oral presentations and written manuscripts.

TASKS/DUTIES/RESPONSIBILITIES

• Literature survey and development of datasets
• Method development and application
• Publications
• Professional development

QUALIFICATIONS

Required Minimum Education: PhD

Required Knowledge, Skills and Abilities:

• A PhD in Computational Chemistry or related field is required
• Strong understanding of statistical thermodynamics underlying molecular dynamics and Monte Carlo based biomolecular simulation approaches
• Hands-on experience of application of enhanced sampling MD methods and/or Rosetta to biomolecules
• Hands-on experience of scientific computing in python and lower-level languages; experience of developing molecular visualization code is desirable
• A track record of publications in peer-reviewed journals is preferred
• Highly motivated, curious, and collaborative
• Excellent written and verbal communication skills are required

PRIMARY LOCATION

United States-Pennsylvania-Spring House-Welsh & McKean Roads

ORGANIZATION

Janssen Research & Development, LLC (6084)

JOB FUNCTION

R&D

REQUISITION ID

2105983583W

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