Founded in 2014, InstaDeep, a leader in cutting-edge decision-making AI solutions, is revolutionising industries across the EMEA region. With offices strategically located in major cities worldwide, including London, Paris, Berlin, Tunis, Lagos, Cape Town, Boston, and San Francisco, InstaDeep is at the forefront of the AI revolution.
At InstaDeep, we foster a culture of innovation and collaboration, empowering our talented team to tackle complex challenges using state-of-the-art technologies. By partnering closely with diverse enterprise clients, we consistently deliver groundbreaking solutions for the most intricate industrial problems.
Our recent acquisition by BioNTech has further solidified our commitment to leading the industry. We have formed strategic partnerships with global giants like Google DeepMind and prestigious educational institutions such as MIT, Stanford, Oxford, UCL, and Imperial College London. These collaborations allow us to leverage an extensive network, driving continuous innovation and maintaining our competitive edge. As a Google Cloud Partner and one of a select few NVIDIA Elite Service Delivery Partners, we have established ourselves as trusted technical and implementation experts.
InstaDeep\'s excellence has been recognised consistently by industry experts. We have been listed among notable players in AI, fast-growing companies, and Europe\'s 1000 fastest-growing companies in 2022 by Statista and the Financial Times. Additionally, we secured a place on CB Insights\' AI 100 ranking for three consecutive years. These accolades underscore our exceptional growth trajectory and position us alongside other renowned businesses in the industry.
Join us as we continue on our journey to transform industries, push the boundaries of AI innovation, and deliver unparalleled value to our clients.
In the BioAI department, we advance the boundaries of healthcare and medical science through a combination of biology and artificial intelligence expertise. We are expanding a portfolio of successful initiatives across drug discovery, design, and protein engineering. Notably, we are developing the next-generation vaccines and biopharmaceuticals for cancer treatment and prevention and therapy of infectious diseases, including SARS-CoV-2.
In collaboration with scientists, engineers and biologists from InstaDeep and BioNTech, you will be contributing to the development of new approaches in molecular modelling, protein interactions, protein designs and other related domains, by applying your technical, analytical, and research skills. You will understand the underlying bioinformatics and business problems and follow the latest developments in both machine learning and biology to identify and harness the right technologies to solve the problems, improve the existing solutions and participate in the commercial deployment of their solution. You will collaborate with a multi-functional team, experiment with different approaches, analyze and communicate the results, in order to deliver proof of concepts, and minimum viable products, and ensure continuous improvement and maintenance for industrialized solutions. You will also be responsible for writing high-quality, maintainable, well-documented, and modular software libraries. You will also have the opportunity to contribute to scientific papers regarding the research and applications in leading conferences and journals.
Specifically, we are currently working on multiple research directions around cellular and humoral immune systems, with direct applications in the prevention, vaccination and treatment of infectious diseases and cancers.
Protein Folding: We are designing, utilizing and improving the state-of-the-art protein folding models (e.g. AlphaFold 2, RFDiffusion, etc.) to investigate protein structural conformation and its distribution. These folding models are being used to understand protein functionalities, estimate protein stability, and study protein mutations and structural changes.
Protein Design: We are leveraging structural modelling, protein language models, protein folding models and quality-diversity methods to perform protein design, especially with experimental feedback from wet labs.
Protein-protein Interactions: We are developing predictive models, based on molecular dynamic simulations and protein folding models, to study protein-protein interactions, dissociation kinetics, binding affinity enhancements and immune response activation.
Infectious Disease Modelling: We are actively monitoring the evolution of SARS-CoV-2 using structural modelling, DNA/protein language models, and protein folding models, with a direct impact on epidemiological studies and vaccine developments. \
Responsibilities
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