Research Engineer,
London
Relation Therapeutics overview
Relation Therapeutics is a TechBio company pioneering recommender systems biology to bring forward new drugs for patients with diseases of high unmet need.
Relation are combining single-cell profiling, human genetics, functional genomics, and end-to-end machine learning to better understand human biology. The company’s ultimate goal is to transform how drug discovery & development is conducted, leading to new medicines for diseases where there is a tremendous need.
Relation is using graph-basedrecommender systemtechnologies to reveal causal relationships in diseases that until now have been impossible to understand using traditional technologies. Ultimately, Relation’s platform will be capable of identifying which areas of biology to focus on and greatly accelerates discovery research efforts for diseases that have not previously been widely researched.
At Relation we embrace diversity, equality and inclusion and we are committed to building diverse teams. We are an equal opportunities employer and do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age. We strive to create an inclusive interdisciplinary workplace that cultivates innovation through collaboration, empowering and supporting everyone to do their best work and develop to their highest potential.
Opportunity
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. Leveraging data from external biobanks like the UK Biobank (UKB) and our proprietary Osteomics clinical trial, we're unlocking new frontiers in genetics.
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. As an established NVIDIA partner and collaborator, we offer access to cutting-edge resources, supporting your efforts to drive innovation and grow.
Role Responsibilities
Collaborate with an interdisciplinary team to address complex challenges in data engineering, ML engineering, and software engineering.
Architect and enhance data processing and loading systems to support training and inference for large-language models up to billions of parameters
Develop and maintain research and production code bases, enabling rapid experimentation and efficient analysis of experimental outcomes.
Lead initiatives to scale our capabilities for distributed training and improve software architecture for high-velocity research.
Professionally, you have
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
Personally, you are:
Join us in this exciting role where your contributions will have a direct impact on advancing our understanding of genetics and disease risk, supporting our mission to get transformative medicines to patients. Together, we're not just doing research; we're setting new standards in the field of machine learning and genetics. The patient is waiting!
Relation Therapeutics is a committed equal opportunities employer.
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