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Join the InstaDeep journey

Innovation is at the heart of what we do. We work as a cohesive team that collectively develops real-life decision-making and technology products across various industries. We are always on the lookout for talented minds to join our dynamic team and contribute their unique insights. Be part of a stimulating and collaborative environment where your ideas can make an impact and ignite transformative change worldwide.

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!

As a Research Engineer you’ll be a part of the BioAI department, in collaboration with research engineers and computational geneticists from the BioAI team. You will be contributing to the development of new approaches in; cancer genomics research with deep learning; and possible downstream related domains, by applying your technical, analytical and research skills. You will understand the underlying bioinformatics tools and follow the latest developments in machine learning at scale to identify the right technologies and set the directions to solve the problems, improve the existing solutions and take part in the deployment of their solution. You will collaborate with a multi-functional team, experiment with different approaches, analyse and communicate the results, in order to deliver proof of concepts, and ensure continuous improvement and maintenance for validated solutions. You will also be responsible for writing high-quality, maintainable, well-documented, and modular software libraries.

Keywords: Machine Learning, Deep Learning, Language Models, Graph Neural Networks, Computational Genomics, Statistics, Data Analysis, High-Performance Computing

The Research Engineer, Deep Learning for Cancer Genomics, must accomplish the following:

• Create momentum around new initiatives and reinforce the technical direction for solving hard technical problems.
• Become a go-to expert in one or more technical areas.
• Design, implement and deliver performant and scalable algorithms based on state-of-the-art machine learning and neural network methodologies using distributed computing systems (CPUs, GPUs, TPUs, Cloud, etc.).
• Conduct rigorous data analysis and statistical modelling to explain and improve models.
• Report results clearly and efficiently, both internally and externally, verbally and in writing.
• Follow and communicate the latest developments in machine learning and cancer genomics.
• Actively collaborate with the business development team in the pre-sales activities, including but not limited to presenting the company to new prospective clients, writing decks and proposals, participating in calls and meetings, and representing InstaDeep in conferences/events.

Requirements:

• At least 2 years of experience in machine learning, and deep learning (natural language processing and computer vision) in industry.
• Master, PhD degree or equivalent experience in applied mathematics, computer science, bioinformatics or related scientific fields.
• Proficiency in software engineering (Python, Pytorch, JAX, Docker, Linux).
• A willingness to learn and develop skills in computational genomics including building an understanding of biological concepts related to cancer.
• Excellent communication skills in English.
• Appropriate work permit for the UK, Europe or South Africa depending on application.

Nice to haves:

• Knowledge in areas around immunology, proteomics, and computer vision.
• Knowledge in molecular biology, biochemistry, structural biology, or a related discipline.
• Experience with high-performance computing or MLOps.

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 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 without visa sponsorship in the location you are applying for. We do not sponsor work visas.

Ready to take the next step? Check out our FAQs and discover what makes us tick!

Can I apply to multiple jobs?

Yes, but only if the jobs are closely related to your skills and qualifications. Please do not apply to more than two jobs at the same time, or your application may be rejected.

I was interviewed/applied last year and wasn't selected. May I reapply?

If it has been six months or more since your last application, you may reapply. Please make sure to highlight any new skills you've gained and your continued interest in the role.

I don't live where the job opportunity is. Can I still apply?

To apply, you must have the appropriate work permit and paperwork for the country where the job is located. Unfortunately we cannot sponsor visa applications.
In many locations, you must be a national of the relevant country. However, in some countries, you may not need to be a national to apply. We recommend checking eligibility requirements with the relevant immigration authority.