
Novogaia
14. 6. 2024
Martin Štípala
Our mission
- Novogaia is an early-stage techbio company based in San Francisco with a presence in Prague and Amsterdam.
- At Novogaia, we’re building machine learning models to rapidly screen fungi and identify novel bioactive small molecules for applications in pharma and agriculture.
What we're looking for
- We are looking for two full-time summer interns. Working alongside our CTO, David Kubánek, you’ll be helping us build best-in-class models for predicting the properties of molecules produced by fungi based on their DNA and mass spectra.
- The first role would best suit a bioinformatician with knowledge in genetics and metabolomics.
- The second role would best suit an machine learning research engineer with experience building transformer models, looking to get exposure to datasets and modelling in biology and chemistry.
- Ideal candidates will be pursuing a masters or a phD in a relevant discipline, looking to get practical experience at a startup and make real-world impact.
- Duration of internship is 2-4 months from July to October, start and end dates are flexible. Preferred location is Prague but we can also discuss a remote option.
Bioinformatician
Responsibilities
- Developing proprietary algorithms and bioinformatics workflows
- 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 genomics such as HMMER, BUSCO, BLAST
- Experience using bioinformatics tools in metabolomics such as MS2Prop, CSI:FingerID, Spec2Vec
- Experience using Python
- Understanding of microbial genetics
- Nice-to-have
- Understanding of the biosynthesis of secondary metabolites in microorganisms
- Experience with genome mining tools (antiSMASH, GATOR-GC, funARTS)
- Experience with cloud environments
ML Research Engineer
Responsibilities
- Developing proprietary algorithms and bioinformatics workflows
- Sourcing and integrating open source tools with in-house data
- Running computational experiments and visualizing findings for analysis
Competencies
- Core
- Experience building transformer models in Python
- Experience with cloud environments
- Nice-to-have
- Experience with computational metabolomics
- Experience with ML models in biology and chemistry (AlphaFold2, AutoDiff)
Benefits
- A compensation of $800 per month
- Ownership of ambitious, mission-driven work with real-world impact
- Innovative & supportive work environment with a committed team
How to Apply
Does this role sound like a good fit? Email your CV to david@novogaia.bio