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 applications in pharmaceuticals and agriculture.

Role Description

This is a 40h/week, remote role for a Bioinformatician in Computational Metabolomics at Novogaia. 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 bioinformatician 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, starting as an intern. This role can transition to a full-time role as a founding research engineer including stock options (equity).

Responsibilities

• Developing proprietary algorithms and bioinformatics workflows to analyze fungal biochemistry
• Sourcing and integrating open-source tools with in-house data
• Running computational experiments and visualizing findings for analysis

Competencies

Core

• Experience using bioinformatics tools in metabolomics such as MZMine, SIRIUS, CANOPUS, GNPS, MS2Prop, CSI:FingerID
• Experience analyzing large biochemical datasets
• Bachelor’s degree in Bioinformatics, Computational Biology, or a related field
• Thriving in an environment with ambiguity where you can adapt quickly
• Ability to work independently and in a team setting

Nice-to-have

• Experience building custom computational pipelines in Python for the analysis of mass spectra