InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Kigali, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. 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. Our recent acquisition by BioNTech has further solidified our commitment to leading the industry.
Join us to be a part of the AI revolution!
InstaDeep, recently acquired by BioNTech, is a pioneering AI company at the forefront of innovation. Working hand-in-hand with laboratory teams at BioNTech, our research teams across InstaDeep are advancing the state-of-the art in biological deep learning. Our work advances human understanding of biology and enables BioNTech to maintain their world leading position in the field of RNA therapeutics. As an Applied Research Scientist you will take a lead role in this mission, with a focus on the application of deep learning explainability methods to biological models. Working with diverse, expert teams, our state-of-the art proprietary models, and a supportive, modern, world-class research and engineering culture, this is an exceptional opportunity to join our mission to develop life changing treatments. We are passionate about science to help people and to advance human knowledge. Our culture is highly collaborative and focuses on team success over individual achievement.
- Apply deep learning explainability methods to guide research and uncover new fundamental science, particularly in the domain of DNA/RNA/protein biology.
- Promote awareness of explainable AI techniques among colleagues and mentor/advise in their use.
- Develop new explainability techniques and application methods to achieve scientific objectives.
- Assist in the interpretation of explainability results and their implications.
- Present findings effectively to clients and internal stakeholders.
- Undertake other activities in biological deep learning as required.
- PhD in Deep Learning or a related scientific field, or equivalent experience.
- 3 or more years of experience with deep learning explainability methods.
- Expert skills in practical application of diverse explainability methods and understanding of explainability theory.
- Demonstrated ability to successfully undertake high-quality research, for example through the publication of high impact scientific papers in journals or conferences or successfully commercialised patents.
- Strong interest in biochemistry and awareness of fundamental concepts.
- Ability to write high quality code in Python.
- Excellent verbal and written communication skills in English.
- Published research in the field of explainable AI.
- Research or commercial experience in biochemistry.
- Experience with explainability applied to transformer architectures or biological models.
- Experience working in clinical or pharmaceutical contexts.
- Right to work: Please note you will require the legal right to work in the location you are applying for.
Our commitment to our people
We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we’re proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this than by joining our team? We operate on a hybrid work model with guidance to work at the office at least 2 to 3 days per week to encourage close collaboration and innovation. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds.
Right to work: Please note that you will require the legal right to work in the location you are applying for.