Machine Learning Scientist (All Levels)
Relation Therapeutics
Machine Learning Scientist (All Levels)
London
About Relation Therapeutics
We are an end-to-end biotech developing transformational medicines, with technology at our core. Our ambition is to understand human biology in an unprecedented way; discovering therapies that will treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays and machine learning to drive disease understanding, from cause to cure.
We are committed to building diverse and inclusive 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 interdisciplinary workplace that cultivates innovation through collaboration, and we empower each of our team members to do their best work and develop to their highest potential.
By joining Relation, you will be part of an exceptionally talented team, you’ll have extraordinary leverage to push the field of drug discovery, and you’ll help us shape our culture and strategic direction. Ultimately, your impact will be felt in patients’ lives.
The opportunity
Join our leading-edge machine learning team as a Machine Learning Scientist 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 critical bottleneck in drug discovery remains poor understanding of the biological mechanisms underlying disease. As a result, we often don’t know why patients become sick and many drug candidates fail in trials while numerous patients with devastating diseases remain untreated. Relation delivers a radically different approach that can better understand the biology of disease and rationally discover new therapeutics.
The team you will become part of
As a Machine Learning Scientist at Relation, you'll be an integral part of our interdisciplinary team, collaborating with Data Scientists, Computational Biologists, Machine Learning Engineers, Data Engineers, and experimental scientists. Your role involves driving our strategic priorities in machine learning and contributing to the development of our proprietary technologies. This includes actively participating in the design and execution of cutting-edge machine learning projects, utilising the latest methods, and engineering best practices. Your expertise will span traditional ML methods as well as modern advancements like graph convolutional neural networks, graph attention networks, and transformers. 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.
In the role, you'll leverage your experience from high-performing ML research groups, adhering to our engineering standards and practices. Collaborating with senior group members, you'll engage in basic ML research and establish a presence in the external ML community through publications at major conferences (including NeurIPS, ICML, ICLR, and AISTATS) and technical blogs. As an established NVIDIA partner and collaborator, we offer access to cutting-edge resources, supporting your efforts to drive innovation and grow.
Your responsibilities
Efficiently collaborate in a team of 3-10, delivering projects using the latest ML methods and modern engineering practices.
Work closely with bioinformaticians and experimental scientists, translating ML methods for drug development and computational biology.
Contribute creative input to ML projects, adhering to Relation's AI standards and ways of working.
Actively engage in ML research within the broader community, publishing papers at major conferences and contributing to technical blogs.
Stay at the cutting edge of ML research, specialising in chosen subfields like probabilistic/causal ML, graph NNs, and NLP.
Professionally, you have
A BSc in machine learning, computer science, or other quantitative discipline; or equivalent industrial experience and preferably a PhD in machine learning, computer science, or another quantitative discipline.
Deep expertise in contemporary AI/ML methods and topics, including computer vision, NLP, structured data, probabilistic/causal ML, normalising flows, etc.
Experience with biological/health/chemical data
A proven track record of excellence in machine learning research including conference papers / presentations at NeurIPS/ICML/ICLR
Track record of collaborating successfully with AI engineering teams to deliver complex modelling projects
Experience as a proficient Python developer (2 - 5 years of industrial experience); must be familiar with modern software engineering practices and the use of modern collaborative tools (e.g. GitHub, Slack, Jira, Trello, etc.)
Experience in at least one major machine learning platform; preferably PyTorch (although TensorFlow is acceptable)
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Industry experience or equivalent post doctoral experience required post academia .
Personally, you are:
A great team player
A clear communicator
Driven by impact
Humble and hungry to learn
Motivated and curious
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Passionate about making a difference in patients’ lives
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.
RECRUITMENT AGENCIES: Please note that Relation Therapeutics does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation Therapeutics will not be liable for any fees associated with unsolicited CVs.