Machine Learning Scientist

Scindo is a full-stack enzyme engineering company, involved in the discovery, characterization, engineering and commercialization of innovative enzymes. We work on highly novel and unique enzyme systems that enable cell-free and co-factor free carbon-chain functionalisations unlocking sustainable feedstocks for a broad range of industries. We deploy cutting edge AI guided enzyme design to create novel functionality and industrially viable biocatalysts.

The Role

Scindo is looking for a highly driven and talented machine learning scientist to join our computational team, based in Scindo's lab in central London. The position will work on Scindo's enzyme discovery and engineering platform, and be involved in a broad range of tasks from architecture and algorithm development, to feature selection & engineering.

The candidate must have an exceptional data and programming background with rich experience in training, developing and implementing machine learning algorithms, with a strong desire to work on the next generation of bioinformatics and biocatalysis predictive tools.

• Background in Python and experience with PyTorch; TensorFlow and/or JAX is a bonus, as well as knowledge of other programming languages.
• Data preparation: feature selection, engineering, and data cleaning.
• ML algorithm development and knowledge of fundamental ML algorithms - e.g. classification, regression, clustering etc.
• Custom model and component R&D.
• Strong understanding of different evaluation metrics to assess model performance across domains.

Bonus Criteria

If you are a highly driving problem solver with a passion for the intersect between biology, chemistry and data, we want to hear from you! Please apply with a cover letter.

Seniority level: Entry level

Employment type: Full-time