Machine Learning Scientist (All Levels)

London

Relation Therapeutics overview 

At Relation Therapeutics we pioneer approaches in large-scale machine learning and high-resolution biology to discover new drugs for patients with diseases of high unmet need. 

One of the core problems in drug discovery is understanding the biological mechanisms underlying disease. Our team combines single-cell profiling, biobank-scale genetics, experimental functional genomics, and end-to-end machine learning in order to decode and modulate the fundamental causes of ill health. We aim to transform drug discovery and development.

At Relation, 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.

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.

Role 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)

• 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 

• Passionate about making a difference in patients’ lives

Join us in this exciting role where you will have a direct impact on advancing our understanding of disease biology, supporting our mission to get transformative medicines to patients. Together, we're not just doing research; we're setting new standards in drug discovery. The patient is waiting!

Relation Therapeutics is a committed equal opportunities employer.