BioAI Research Engineer – Biomedical Computer Vision Focus (All Levels)

Job title:

BioAI Research Engineer – Biomedical Computer Vision Focus (All Levels)

Company

InstaDeep

Job description

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, Lagos, 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!In the BioAI department, we advance the boundaries of healthcare and medical science through a combination of biology and artificial intelligence expertise. Notably, we are developing the next-generation vaccines and biopharmaceuticals for cancer treatment and prevention and therapy of infectious diseases. By joining us, you will contribute to this effort in collaboration with scientists, engineers and biologists from both InstaDeep and BioNTech and have the opportunity to contribute to scientific papers submitted to leading conferences and journals.In this position, you will be working closely with our team of computer vision exports to help build the next generation of biomedical computer vision tools. The output of this work will help medical practitioners and scientists advance our understanding of personalized treatments that improve clinical outcomes and profoundly impact peoples’ lives. \nResponsibilities

• Follow and communicate the latest developments in biomedical computer vision.
• Design, implement and deliver performant and scalable algorithms based on state-of-the-art machine learning and neural network methodologies using distributed computing systems on-premises and cloud infrastructures.
• Conduct rigorous data analysis and statistical modeling to explain and improve models.
• Report results clearly and efficiently, internally and externally, verbally and in writing.
• Write high-quality, maintainable, and modular code with precise documentation.

Requirements

• Master’s, PhD degree or equivalent experience in applied mathematics, computer science, or related quantitatively focussed scientific field.
• 1+ year experience in deep learning applied in biomedical imaging, demonstrated via previous work, publications, contributions to open source projects, or coding competitions.
• Experience working with histopathology data such as H&E-stained images, or multi- or high-plex IHC data.
• Strong software engineering experience (Python, Linux, Git, Docker).
• Strong experience using a machine learning framework (PyTorch (ideally), JAX).
• Data science experience including data visualisations, clustering, statistical testing and regression/classification methods.
• Excellent communication skills in English.

Desirables

• Proven track-record of research publications in respectable journals.
• Experience with foundation ML model training.
• Experience with MLOps including DevOps & CI/CD
• Specialist computing knowledge, such as high-volume data storage and processing, high-performance computing, or deployment.
• Experience working with sensitive clinical data.
• Experience with and desire to mentor colleagues.
• Experience bringing machine learning research to production.

\nOur commitment to our peopleWe 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.

Expected salary

Location

London

Job date

Sun, 05 May 2024 01:39:03 GMT

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