Senior Research Engineer, Deep Learning for Cancer Genomics

Join to apply for the Senior Research Engineer, Deep Learning for Cancer Genomics role at InstaDeep

InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. We are a Google Cloud Partner and an NVIDIA Elite Service Delivery Partner with offices worldwide. We collaborate with Google DeepMind, MIT, Stanford, Oxford, UCL, and Imperial College London. We are part of BioNTech and operate with a hybrid work model to encourage collaboration and innovation.

As a Senior Research Engineer you’ll be part of the BioAI department, collaborating with research engineers and computational geneticists. You will lead and contribute to the development of new approaches in cancer genomics research with deep learning, and related domains, applying your technical, analytical, research, and management skills. You will understand underlying bioinformatics tools and follow the latest developments in machine learning at scale to identify technologies and set directions to solve problems, improve solutions, and participate in deployment. You will lead and collaborate with a multi-functional team, experiment with different approaches, analyze and communicate results, deliver proofs 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

Responsibilities

• Create momentum around new initiatives and set the technical direction for solving hard technical problems.
• Help set technical directions within research and development projects, provide mentorship to colleagues, and tackle larger and more complex research and engineering problems.
• Manage other engineers or 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 ML 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.
• Collaborate with the business development team in pre-sales activities, including presenting the company to prospective clients, writing decks and proposals, participating in calls and meetings, and representing InstaDeep in conferences/events.

Requirements

• At least 3 years of experience in machine learning and deep learning (NLP and computer vision) in industry.
• Experience with management, mentoring, and coaching small to medium teams and/or leading projects.
• Master, PhD degree or equivalent in applied mathematics, computer science, bioinformatics or related fields.
• Proficiency in software engineering (Python, PyTorch, JAX, Docker, Linux).
• Willingness to learn and develop skills in computational genomics, including understanding biological concepts related to cancer.
• Excellent communication skills in English.
• Appropriate work permit for the UK (or Europe).

Nice to have

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

Our commitment to our people

We empower individuals to celebrate their uniqueness at InstaDeep. We value diversity and encourage applicants from underrepresented groups. We operate on a hybrid work model with guidance to work at the office 3 days per week to encourage collaboration and innovation.

Right to work: You will require the legal right to work without visa sponsorship in the location you are applying for. We do not sponsor work visas.