Job description

Company Description

At Novogaia, we are accelerating the discovery of natural products from fungi using machine learning and metabolomics analysis. Our mission is to build machine learning models that can rapidly screen the chemical space of fungi and identify novel bioactive small molecules for drug discovery.

Role Description

Working alongside our CTO, David Kubánek, you’ll be helping us build computational models for predicting the properties of molecules produced by fungi based on their DNA and mass spectra.

The role would best suit a machine learning engineer/researcher with knowledge in computational metabolomics, looking to work in a fast paced, high-conviction environment with real-world impact.

The starting date of this role is as soon as possible. This role includes stock options (equity).

Responsibilities

• Developing proprietary machine learning algorithms to analyze mass spectra to efficiently source novel active molecules
• Building and fine-tuning foundational models for downstream prediction tasks
• Running computational experiments and visualizing findings for analysis
• Sourcing and integrating open-source tools with in-house data

Competencies

Core

• Experience with building & fine-tuning ML models in Python (e.g., in pytorch) for the analysis of mass spectra
• Experience analyzing large biochemical datasets including molecules and mass spectra
• Experience with collaborative work in cloud environments and high-performance computing
• Master’s or PhD degree in a relevant quantitative discipline with a strong computational component, or equivalent experience
• Thriving in an environment with ambiguity where you can adapt quickly
• Ability to work independently and in a team setting