What you will be doing in the company
As a Research Scientist, you will play a crucial role in developing generative AI models for synthetic biology. Your primary focus will be on architecting novel generative models to design new proteins that are functional in wet lab assays. You will collaborate with an interdisciplinary team of machine learners, protein engineers, and biologists to revolutionize the control of biology and the treatment of diseases. Your responsibilities will include building machine learning models, curating training and evaluation data, proposing and implementing ML evaluation metrics aligned with real-world success, prototyping generative models, collaborating on a joint codebase, and contributing to the maintenance of compute and ML development infrastructure. Additionally, you will plan and execute wet lab testing campaigns, analyze results, and continuously improve models based on feedback data.
What the company hiring is looking for
The ideal candidate is a highly skilled machine learning researcher with a strong background in generative modeling. You should have a proven track record of expertise in generative modeling and experience working on notable machine learning projects. Your contributions to widely used open source libraries, significant product launches, or high-impact publications should be evident. Additionally, you should be a skillful ML developer capable of writing robust, tested, and maintainable code. Experience with version control, code review systems, cloud hardware, and parallelizing data and models across accelerators is essential.
Qualities/skills that the company hiring is looking for
You should be a data engineer with expertise in building ML data pipelines for training and evaluating deep learning models. A passion for optimizing model performance and a deep understanding of ML libraries, hardware, and data are crucial. Your mission-driven and curious nature should be evident, along with your adaptability to different approaches and methodologies. You should thrive in a dynamic environment, excel in a fast-paced setting, and be motivated by achieving goals efficiently and urgently.
What the company hiring is offering
The company offers competitive compensation and benefits packages, a stimulating work environment, and the opportunity to shape the future of synthetic biology through breakthrough generative models. The role provides a chance to work in a dynamic team at the forefront of AI and biology innovation. The position will be based in London, with hybrid working options available.
Desirable things the company hiring is looking for
Candidates with experience in computational biology or protein design, as wells as those with a background in natural sciences such as physics, biology, or chemistry, are encouraged to apply. Staying updated on the latest ML developments, gaining a strong understanding of protein and cell biology, participating in knowledge sharing activities, and presenting at conferences are also valued qualities.