Research Engineer, Deep Learning for Cancer Genomics
London
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InstaDeep
InstaDeep delivers AI-powered decision-making systems for the Enterprise. With expertise in both machine intelligence research and concrete business deployments, we provide a competitive advantage to our customers in an AI-first world.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.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Biochemistry Bioinformatics Biology Computer Science Computer Vision Data analysis Deep Learning Docker Engineering GCP Google Cloud JAX Linux Machine Learning Mathematics MLOps NLP PhD Python PyTorch Research Statistics
Perks/benefits: Career development Conferences Team events
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