Tech Stack

Description

You will support the platform discovery engine for Helicon peptide drugs by applying data science and cheminformatics to enable hypothesis generation and data insights. You'll collaborate with biologists and chemists as part of an integrated team central to Parabilis's innovative discovery platform.

Requirements

• MS or PhD in Data Science, Cheminformatics, or related field with 5+ years pharma/biotech experience
• Proven track record in drug discovery using informatics/computational techniques
• Expertise with cheminformatics (RDKit, ICM, OEChem) and data science toolkits (Pandas, Scikit-Learn, Numpy)
• Strong skills in data analytics, statistics, and data visualization (Vortex, Spotfire, etc.)
• Proficiency in Python and excellent communication skills

Responsibilities

• Provide leadership in data science and cheminformatics for hit identification, library design, and hit-to-lead progression
• Analyze peptide/chemical structure and property space to inform designs
• Develop predictive models using machine learning for Helicon properties
• Implement and develop cheminformatics and research informatics systems
• Contribute to enterprise-level cheminformatics solutions with IT and data engineering