InstaDeep

As we navigate the next 10 years of AI, we continue solving challenges while maintaining a culture of continuous learning and innovation.

We value integrity, diversity, knowledge, and experience, and work with other leading tech and AI partners to make sure we deliver the highest quality in every project.
We prioritise collaboration, knowledge-sharing, and skills development, to help realise the benefits of the latest in AI technology.

We expect strong problem-solving abilities and a positive, helpful demeanour when working collaboratively to solve complex problems.

The BioAI team is made up of scientists, engineers, and biologists, all working to advance the frontiers of healthcare and medical science through our work in biology and artificial intelligence.

Our wide portfolio includes pioneering initiatives in genomics, agri-tech, drug discovery, design, and protein engineering, plus contributing to scientific papers in top conferences and journals.

The team is a critical part of BioNTech's pioneering work in the field of AI-powered drug discovery, design and development, where we innovate on next-generation vaccines, biopharmaceuticals for cancer treatment and prevention, and therapies for infectious diseases.

Our in-house research team bridges machine learning with life sciences, forging new paths in AI.

Over 60 engineers and scientists work on developing the next-generation of deep learning technologies for life science applications in protein sequence and structure predicting, protein inverse folding, ML-enhanced molecular dynamics, and proteomics datasets.

They curate experimental data and computational modelling techniques including homology modelling, molecular dynamics with classical force fields, and quantum chemistry calculations with density functional theory.

They publish open-source tools and present papers at leading conferences, strengthening ID’s commitment to impactful AI research.

The engineering department is focused on the development of Industrial Optimization solutions either for BioNTech, external customers or InstaDeep’s own SaaS offerings.

The team has a deep expertise in using Reinforcement Learning for solving real life problems and has built a deep knowledge of distributed and high performance computing.

The department also serves as the main provider of MLOps support for the other departments of the company.