Jobs

Research Engineer

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 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.

Your 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:

• 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 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.