We are an interdisciplinary, multi-cultural and science-driven team passionate about leveraging nature’s potential for human health and a sustainable food system. We are leaders in discovery, validation and making of bioactive food peptides and on a mission to improving the lives of billions. We are changing the game and breaking new ground thanks to our unique combination of artificial intelligence, proteomics, biology and manufacturing.


The Role

• Machine Learning / Artificial Intelligence Scientist

• New Dublin-based scientist role in Data Science Team

• Work on cutting-edge machine learning approaches for drug/ingredient discovery from initial concept to final delivery 

• Leverage our libraries of natural compounds and our peptide knowledge base to identify most promising health-beneficial peptides to be developed in our laboratories

• Help expand our knowledge into new therapeutic areas and enhance the accuracy of our predictions

• Contribute to our next-generation peptides and help acceleration from idea to market


• Work with the Data Science/Computational Biology Team to integrate the newly developed algorithms and solutions

• Apply the core technologies of Machine Learning, Deep Learning, and intelligent decision-making in R&D and related projects

• Maintain expert knowledge in state-of-the-art Machine Learning approaches 

• Lead AI projects through each phase, from scoping of the initial solution to development of a Minimum Viable Product


About You

Proven ability to work creatively and analytically in a problem-solving environment

Motivated and proactive, passionate about complex challenges in computer science

Keen to work in a fast paced, growing and dynamic company; start-up experience is a plus

• Skilled in organising and optimising the working environment

• Ability to manage multiple projects and deliver against several deadlines, high sense of accountability

• Excellent communicational skills, both written and verbal, in English

• Ability to communicate with experimental biologists, biochemists, computer scientists and non-scientists


• At least 3 years of professional hands-on experience in a similar role or equivalent combination of education, training, and experience

• Knowledge and good hands-on experience of common Machine Learning frameworks (i.e. TensorFlow, PyTorch, Keras) 

• Experience in applying computationally intensive techniques to model complex biological systems

• Familiar with formats for representation of biological data and with main biological databases (NCBI, Uniprot, RCSB PDB, etc.)

• Strong knowledge of OOP and fluency in scripting languages, Python is a big plus 

• Excellent algorithm design skills and data structure knowledge 

• Experience in Git version control systems is preferred 

Does this sound like you? Then we would love to hear from you! Please apply using the provided link and form, attach your CV and your cover letter, outlining why you feel motivated and qualified for the role. 

Apply for position now

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