Senior Data Scientist, Computational Chemistry

About the Company

Parabilis Medicines is a clinical-stage biopharmaceutical company dedicated to creating extraordinary medicines for patients with serious diseases by unlocking biologically important targets long considered undruggable. The company has pioneered a new class of alpha-helical peptides – Helicons™ – capable of modulating intracellular proteins that have historically been beyond the reach of conventional medicines.

Responsibilities

• Provide computational expertise towards ternary complex designs for degraders and other proximity-based modalities
• Use multi-objective optimization for hit-to-lead progression
• Identify, implement, and apply 3D modeling techniques for sampling Helicon™ peptide conformations
• Analyze and derive 3D peptide-structure relationships
• Partner across functions to exemplify scientific leadership and interface with internal and external partners

Requirements

• PhD in Computational Chemistry, Protein Engineering, Chemistry, Physics, or related field
• 5+ years of pharma/biotech industry experience in computational rational drug discovery
• Demonstrated experience with ternary complex design, peptide design, or protein engineering
• Mastery of modern computational chemistry including peptide folding, docking, and structure-based design
• Expertise in peptide modeling environments such as ICM, Rosetta, Amber, or GROMACS
• Strong scientific programming skills in Python within a Linux environment
• Demonstrated use of AI tools in current roles

Preferred Qualifications

• Experience with enterprise research informatics systems like Dotmatics
• Familiarity with cheminformatics techniques
• Familiarity with use of LLMs and IDEs like Cursor to enhance workflows