Artificial Intelligence Research Scientist

3 weeks ago

London, Greater London, United Kingdom All Together Now Preschool & Childcare Full time
Unlock the Power of Artificial Intelligence in Healthcare

We are seeking a highly skilled Artificial Intelligence Research Scientist to join our BioAI department, where we are pushing the boundaries of healthcare and medical science through the integration of biology and artificial intelligence expertise.

As a key member of our team, you will contribute to the development of innovative solutions for drug discovery, design, and protein engineering, with a focus on developing next-generation vaccines and biopharmaceuticals for cancer treatment and prevention, as well as therapy of infectious diseases.

Our research directions include:

RNA Science

We are developing models of RNA chemistry to predict characteristics such as folding, binding energy, and melting temperatures.

DNA Science

We are building models of DNA chemistry to predict characteristics such as folding, binding energy, and melting temperatures.

Immunogenicity

We are developing models to understand the mechanisms of immunogenicity in order to design personalized immunotherapies.

Protein Design

We are leveraging structural modeling, protein language models, protein folding models, and quality-diversity methods to perform protein design with experimental feedback from wet labs.

Infectious Disease Modelling

We are actively monitoring the evolution of SARS-CoV-2 using structural modeling, DNA/protein language models, and protein folding models, with a direct impact on epidemiological studies and vaccine developments.

Responsibilities
  • Stay up-to-date with the latest developments in machine learning and biology, and communicate them to the team.
  • 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, both internally and externally, verbally and in writing.
  • Write high-quality, maintainable, and modular code together with precise documentation.
  • Collaborate with the business development team in pre-sales activities, including 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 a 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).
  • Data science and statistics experience, including data visualizations, 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.

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