Senior Computational Medicinal Chemist – Data Science Lead

Novartis Group Companies; San Diego (CA); Hybrid; USD 126,000 - 257,400; Full time

Job summary

Novartis Group of Companies in San Diego, CA, is seeking a Senior Expert I/II, Data Science to advance computational drug discovery using ML, SAR, and physics-based CADD. You will collaborate with scientists to craft inventive solutions for drug targets and lead optimization across multiple modalities.

The role emphasizes predictive modeling, lead characterization and screening, and cross-disciplinary work in a hybrid setting with competitive compensation and US benefits.

Qualifications

• PhD in medicinal chemistry, computational chemistry, computational biology, or related field; MS with pharma/biotech experience considered.
• 3+ years in a drug discovery environment with project teams.
• Strong publication history and familiarity with computational drug design tools.

Responsibilities

• Design medicinal chemistry efforts using SAR, structure-based and ligand-based design, and PK/PD concepts.
• Apply machine learning, active learning, and physics-based CADD for small molecule discovery.
• Collaborate with interdisciplinary teams to drive lead identification and optimization.
• Develop predictive models from high-content and time-resolved screening data, including imaging.

Skills

Machine learning

Team collaboration

Data visualization

Python

Education

PhD in medicinal chemistry or related field

MS with pharma/biotech experience

Tools

Schrödinger

OpenEye

CCG

Job description

Novartis Group of Companies in San Diego, CA, is seeking a Senior Expert I/II, Data Science to advance computational drug discovery using ML, SAR, and physics-based CADD. You will collaborate with scientists to craft inventive solutions for drug targets and lead optimization across multiple modalities.

The role emphasizes predictive modeling, lead characterization and screening, and cross-disciplinary work in a hybrid setting with competitive compensation and US benefits.