Our client is advancing the boundaries of healthcare and medical science through a combination of biology and artificial intelligence expertise. They are expanding a portfolio of successful initiatives across drug discovery, design, and protein engineering. Notably, they are developing the next-generation vaccines and biopharmaceuticals for cancer treatment and prevention and therapy of infectious diseases.
RNA Science: They are pushing forward the state of the art in optimisation of RNA for multiple characteristics including expression and half life in media and in cell. We are developing advanced methods of RNA characterisation and prediction of secondary and tertiary structure.
Responsibilities
- Follow and communicate the latest developments in machine learning and biology. 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 modelling 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.
- 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 the company in conferences/events.
Requirements
- Master's, PhD degree or equivalent experience in applied mathematics, computer science, or related scientific field.
- 1+ year experience in deep learning demonstrated via previous work, publications, contributions to open source projects, or coding competitions.
- Strong software engineering experience (Python, Docker, Linux).
- Strong experience using a machine learning framework (PyTorch, JAX, TensorFlow).
- Desire to work with biological applications.
- Data science and statistics experience including data visualisations, statistical testing, etc.
- Excellent communication skills in English.
- Appropriate work permit for the considered location.
Desirable
- Knowledge of molecular biology, structural biology, -omics, immunology, or a related discipline.
- Knowledge of current research in deep learning applied to biology.
- Specialist computing knowledge, such as high-volume data storage and processing, high-performance computing, or deployment.