Computational Biologist (AI / ML)

A company is looking for a Computational Biologist (AI / ML).

Key Responsibilities

Develop and evaluate computational methodologies integrating multi-omic datasets for predictive models in translational biology

Lead projects applying AI models to challenges in disease biology, biomarker discovery, and target exploration

Collaborate with AI companies to co-develop foundation models for drug discovery

Required Qualifications

PhD in computational biology, AI / ML, applied statistics, biophysics, or MS with relevant professional experience

5 years of experience in applied computational biology and multi-omic dataset integration, with 2 years in a startup environment

2 years of experience in translational science, focusing on target identification, biomarker discovery, or patient stratification

Proven ability to implement and evaluate computational methodologies using machine learning and AI for biological research

Excellent coding skills in Python and experience with relevant ML / AI libraries