Relation
Discovering the relationships at the heart of biology to cure disease.
machine learning • single cell
51 - 200
Research Engineer
July 24
🏢 In-office - London
Relation
Discovering the relationships at the heart of biology to cure disease.
machine learning • single cell
51 - 200
Description
• Join our leading-edge machine learning team as a Research Engineer, and play a pivotal role in pioneering machine learning solutions for genetic data interpretation. • Our team is at the forefront of developing experimentally validated machine learning methodologies, transforming biobank-scale genetics data (from genotyping arrays to whole genome sequence) into actionable disease risk genes for drug discovery. • The role sits at the heart of a multidisciplinary team that includes machine learning scientists, data scientists, bioinformaticians and biologists. • Based at our wet / dry lab and headquarters in central London, you'll tackle the unique challenges presented by our large models and vast datasets. • Your expertise will enhance our data loaders, streamline our training and inference regimes, and refine our software architecture, all within our hybrid on-prem and cloud infrastructure featuring dedicated DGX stations.
Requirements
• A Bachelor’s degree in Computer Science or a related quantitative field, with upwards of 4 years of relevant industry experience. Exceptional candidates with less experience but a strong technical foundation will also be considered. • Proficiency in Python and Pytorch, with a solid understanding of data structures and computational complexity • Demonstrable skills in at least two of the following areas: • data engineering (e.g., handling billion-row data frames and databases), • ml engineering (e.g., distributed training, optimization, compilation) • software engineering (e.g., OOP, system design, CI/CD and testing) • Comfort with industry-standard cloud infrastructures • Knowledge of biology, genetics is an advantage but not essential
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