Research Scientist; Computational Biologist

Location London
Discipline: Machine Learning
Contact name: Emily Martin

Contact email:
Published: 13 days ago

At an innovative company in the intersection of AI and biology, there is an exciting opportunity for a Research Scientist to join a team of machine learners, protein engineers, and biologists. This company is focused on developing generative AI models for synthetic biology, with the goal of revolutionizing the way biology is controlled and diseases are cured. Your responsibilities will include leading evaluations of AI models, collaborating with interdisciplinary teams, and continuously improving model performance. Additionally, you will work on optimizing model application techniques and staying updated on the latest developments in machine learning and biology.


  • Design evaluation strategies and benchmarks to continuously evaluate the performance progress of models.

  • Lead deep-dives on select biological and therapeutic applications.

  • Compare generative models against external technologies.

  • Closely collaborate with machine learners, protein designers, and biologists to ensure the technical and biological relevance of model evaluations.

  • Leverage your analytical results to guide model performance improvements.

  • Implement and test ideas for model improvements.

  • Stay on top of the latest developments in ML.

  • Gain a strong working understanding of protein and cell biology.

  • Attend and present at conferences when relevant.

Skills that the company hiring is looking for

  • Strong scientific programming skills

  • Have a PHD computational biology or related fields

  • Experienced in molecular data analysis

  • Robust software development skills

  • Track record of delivering successful research projects

  • Mission-driven and curious mindset

  • Ability to excel in a fast-paced environment

Desirable Skills

  • Experience in protein design and bioinformatics

  • A background in natural sciences

  • Have helped scale a biotech startup before