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, 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!
In the BioAI department, we advance healthcare and medical science boundaries through a combination of biology and artificial intelligence expertise. We are expanding a portfolio of successful initiatives across drug discovery, design, and protein engineering. Notably, we are developing next-generation vaccines and biopharmaceuticals for cancer treatment and the 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.
We are pushing forward the state of the art in predicting and optimising RNA for multiple characteristics, including expression, half-life and ribosomal load in media and cells. In this position, you will be working closely with a cross-functional team of research engineers and computational biologists to understand and model translational kinetics. This work will help scientists advance our understanding of RNA biology and develop personalised treatments that improve clinical outcomes and profoundly impact peoples’ lives.
Role Responsibilities:
- Support the efforts of the RNA team, and the BioAI department generally, through the development of novel methods and applications of AI to biology.
- Work in a cross functional team of research engineers, computer biologists, and scientists from dry and wet labs at InstaDeep and BioNTech.
- Design, implement, and test deep learning methods for understanding the rules of RNA translation.
- Conduct rigorous data analysis and statistical testing to explain and improve models.
- Report results clearly and efficiently, both internally and externally, verbally and in writing.
- Write high-quality, maintainable, and modular code together with precise documentation.
- Contribute to team research and publications.
Who you are:
- Recent graduate of a M.S, PhD degree or equivalent experience in a STEM discipline.
- Excellent programming experience in Python.
- Good knowledge of state-of-the-art deep learning algorithms, and classical machine learning methods.
- Experience using a machine learning framework (PyTorch, JAX, TensorFlow).
- Data science and statistics experience including data visualisations, data processing, statistical testing, etc.
- Strong desire to work with biological applications.
- Excellent communication skills in English.
- Proficiency with version control (git) and best coding practices.
- Experience with docker and cloud infrastructures for storage and compute.
- Good knowledge of transformers.
- Appropriate work permit for the UK for the duration of the internship.
BENEFICIAL
- Knowledge of RNA science and immunology.
- Knowledge of current research in deep learning applied to biology (especially RNA and ribosomes).
- Research and software engineering experience demonstrated via previous work, contributions to open source, or coding competitions.
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 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.
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