Head of AI, 100% (all genders)

THE OPPORTUNITY

Biognosys is rooted in proteomics and bioinformatics. We have been using machine learning (ML) at Biognosys for the analysis of proteomics data since the foundation in 2008 with great success and have also a number of publications in that area. Few years ago it became clear that deep learning is very suitable for numerable tasks in proteomics. We started to apply deep learning at Biognosys in 2018 and are proud that already in 2019 our commercial flagship software Spectronaut was released making use of a modern deep neural network in the background. In recent years the number of deep learning publications in proteomics has rapidly increased and in parallel it became clear that the number of applications of deep learning in proteomics are vast. You’ll be responsible to perform research and development of ML models for various applications in proteomics. You’ll collaborate internally with the bioinformatics team as well as the wet lab team. You will communicate selected results at conferences and other events. There is the opportunity to build a small team through 2022 and beyond.

YOUR RESPONSIBILITIES

• Research on ML models with applications in proteomics workflows, particularly also using more modern deep learning approaches and neural network topologies
• Plan, organize and execute projects surrounding ML in proteomics
• Development of ML models that will be deployed with our software or may be used in house
• Build and manage a small team of AI experts
• Interact and coordinate with bioinformatics and proteomics wet lab team in R&D and rest of the company, work on joint projects and share knowledge and experience about ML in proteomics
• Report and present results internally and externally

YOUR PROFILE

• MSc or PhD in computer science, statistics or bioinformatics with a focus on machine learning, particularly also modern machine learning technologies
• 2-5 years of practical ML experience in science or industry is a strong plus
• Good organisatorial and social skills
• Very good knowledge of written and spoken English
• Analytical thinker, goal driven and you pay attention to detail
• You are a team player and you like to share ideas with others
• Experience with biological data, genomics, proteomics and mass spectromertry is a plus but not required