
Research Engineer Intern in BioAI
- London
- Training
- Full-time
- 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.
- 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.
- 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.