---
title: 'Scientist, Model Systems at relationrx'
canonical: 'https://feeny.ai/job/scientist-model-systems-relationrx-london-3p5pwbss4m8z'
type: 'job'
last_seen: '2026-09-11'
---

# Scientist, Model Systems at relationrx

- **Company:** relationrx
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Posted:** 2026-07-06
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/relationrx/c35822ad-b076-4440-8f7e-2f064458633a

## Job description

Scientist Model, Systems

## About Relation

Relation is a sector defining TechBio company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. We are scaling rapidly and building a team of exceptional individuals to push the boundaries of drug discovery. You will work in highly interdisciplinary teams where biology, computation, and engineering come together to solve complex problems that have not been solved before. Our state-of-the-art wet and dry labs in the heart of London are designed to accelerate this integration and translate insight into impact. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. By joining Relation, you will help define how medicines are discovered and deliver meaningful impact for patients.

The opportunity At Relation, we are building proprietary large-scale datasets to advance the prediction of disease-associated genes using cutting-edge functional genomics and machine learning approaches. We are offering an exciting opportunity for a Scientist to help expand our capabilities to run large scale perturbation studies on mono- and co-culture systems of fibrotic disease.

In this role, you will be at the forefront of scientific discovery and make a meaningful impact in the field of biology, working at the intersection of science and technology within a rapidly growing TechBio company. The successful candidate will contribute significantly to capture the cellular response using a multimodal readout strategy that includes transcriptomics, proteomics and molecular signatures of functional phenotype. You will partner closely with colleagues across Discovery, have the opportunity to develop your skills to work independently and advance your knowledge-base on assay development and optimisation.

Day to day, you will have the following key responsibilities:

- Maintain human primary cell lines, taking responsibility for sample tracking and quality control (QC).
- Perform experimental work developing cellular and biochemical assays
- Benchmark and select candidate cell line, stimuli, timepoints, and assay dynamic range in monoculture and co-culture models
- Execute perturbation screens on cell models
- Contribute to the development and implementation of new technologies, workflows, and operational infrastructure.
- Support the translation of assays into robust, high-throughput, automated workflows.
- Carrying out data analysis and relevant quality assurance protocols
- Monitor day-to-day lab activities, maintain tissue culture reagent stock levels, ensure equipment is properly maintained, and adhere strictly to good lab practice standards.
- Communicate outcomes of your work to team members and external parties in written or verbal reports.
- Stay up to date of relevant scientific literature and incorporate new findings into research project planning and experiment design
- Proactive identification of potential project issues and communication of proposed solutions to the team
- Communicate closely with cross-functional colleagues across biology, machine learning and automation disciplines and assist with solving complex scientific challenges and accelerate programme delivery

Professionally, you will have

- PhD with 1-2 years experience and demonstrable experience in assay development and/or target validation or Master's degree in Biology with >5 years of additional experience in a relevant Biological Science.
- Strong background in working with primary and immortalised cell lines, preferably within large batch cultures and using bioreactors
- Experience with running functional disease relevant endpoints with necessary reproducibility and sensitivity.
- Knowledge of CRISPR/Cas9 gene editing for modulating gene expression in 2D and 3D cell systems.
- Prior involvement in pathway-modifying perturbation screens
- Hands-on experience with High content imaging.
- Extensive knowledge with data handling, curve-fitting and statistical analysis
- Experience in industry-standard recording keeping
- Excellent communication, influencing and interpersonal skills, with the ability to thrive in a collaborative, cross-functional, matrixed environment
- High motivation, scientific rigor and be able to comfortably operate in a fast-paced, evolving biotech setting

Desirable knowledge or experience

- Target modulation in fibrosis across various tissues is highly desirable
- Working with ‘omics experiments and data sets
- Experience with automated laboratory systems
- Prior experience working within biotech, pharmaceutical or CRO environments

Personally, you

- Are comfortable working in a matrixed environment, balancing multiple stakeholders and contributing effectively across teams.
- Take ownership of your work, proactively seek opportunities to contribute, and enable others to do their best work.
- Communicate openly and directly, give and receive feedback constructively, and handle challenging conversations with respect.
- Actively seek out diverse perspectives, build strong working relationships, and contribute to shared goals across teams.
- Embrace challenges with openness and resilience, set high standards for yourself, and strive to deliver meaningful outcomes.

Working Style & Culture at Relation At Relation, we operate in a matrixed, interdisciplinary environment, where impact is driven through collaboration across scientific, technical, and operational domains. We collaborate, and you will partner with colleagues across multiple teams and projects, contributing your expertise while aligning to shared company priorities. We work together and win together! The patient is waiting!

Recruitment Agencies Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation will not be liable for any fees associated with unsolicited CVs. Relation is a committed equal opportunities employer.

## About relationrx

## Company Overview
- **One-liner**: Relation Therapeutics is an end-to-end biotech company using single-cell multi-omics and machine learning to discover and develop transformational medicines for devastating diseases.
- **Entity Type**: Private (Seed/venture-backed; total funding $139M)
- **Headquarters**: London, United Kingdom (with offices in Miami Beach, US, and presence in Italy & India)
- **Founded**: 2019
- **Founders**: Charles Roberts, Benjamin Swerner, and Jake Taylor-King

## Core Business
- **Primary industry**: Biotechnology / Drug Discovery & Development
- **Target customers**: B2B – partnerships with large pharma (Novartis, GSK, Deerfield); ultimately patients for its own pipeline
- **Mission**: “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.”

## Products & Services
- **Lab-in-the-Loop Platform**: An integrated technology stack combining single-cell analysis, genomics, and machine learning to identify druggable targets and develop transformational medicines.
- **Pipeline**: Preclinical/early-stage programs in osteoporosis (first indication announced March 2023) and atopic diseases (strategic collaboration with Novartis announced December 2025). Further undisclosed programs advanced via partnerships with GSK and Deerfield Management.

## Market Standing
- **Valuation**: Not publicly disclosed
- **Key Metric**: Total funding of $139M (as of 2026); annual revenue estimated at $1.5M (LinkedIn estimate)
- **Notable Investors/Partners**:
  - DCVC, N Ventures (NVIDIA), Magnetic Ventures, Khosla Ventures, Firstminute Capital, Meltwind, Hitachi Ventures, ARK Invest
  - Strategic partners: Novartis (collaboration on atopic diseases), GSK ($15M equity investment and partnership), Deerfield Management (collaboration to form new companies from targets)
  - Grant from Bill & Melinda Gates Foundation (2020)
- **Growth Signals**:
  - Headcount grew 51.8% YoY to ~97 employees (LinkedIn)
  - Opened new labs in London (opened Feb 2023 by Nobel laureate Sir Paul Nurse)
  - Access to NVIDIA’s CAMBRIDGE-1 supercomputer
  - Multiple new funding rounds: $25M seed (June 2022), $35M seed-2 (March 2024), $15M from Novartis (Dec 2024), $26M further investment (2026)
  - Active job postings: 17 positions (as of mid-2026), with monthly postings up 54.5%

## Competitive Advantages
- **Differentiated platform**: Proprietary “Lab-in-the-Loop” approach that integrates wet-lab single-cell assays with machine learning, enabling high-resolution target discovery directly from patient tissue.
- **Top-tier compute**: Exclusive access to NVIDIA’s most powerful UK supercomputer and deep partnerships with NVIDIA, Mila, and academic leaders.
- **World-class talent**: Scientific advisory board includes Nobel laureate-level researchers and professors from MIT, Stanford, ETH Zurich, and Oxford; team drawn from GSK, BenevolentAI, Wellcome Sanger, and top universities.
- **Pharma validation**: Strong collaboration and equity investments from Novartis, GSK, and Deerfield signal confidence in the platform and pipeline.

## Strategic Focus
- **Priority areas**: Advancing internal pipeline in osteoporosis and atopic diseases; expanding collaborations with pharma to co-develop novel therapeutics; continuing to invest in AI/ML capabilities and single-cell technology.
- **Growth direction**: Scaling the team (especially in machine learning, data science, and biology), forming new spin-out companies with Deerfield, and deepening the use of generative AI for drug design.

## Why Work Here
- **Culture**: Emphasizes collaboration, empowerment, compassionate candor, and a winning attitude. “We set ambitious goals pushing boundaries with a high-performing mindset.”
- **Team**: Highly interdisciplinary – biologists, ML engineers, data scientists, computational chemists, and drug developers working together under one roof.
- **Location**: London HQ with hybrid possibility for some roles; research roles require on-site lab work (lab in King’s Cross area).
- **Perks**: Not publicly detailed, but the company offers the chance to work on cutting-edge AI + biology problems, access to NVIDIA supercomputing, and the impact of bringing new medicines to patients.
- **Engineering/Research Culture**: Strong focus on open collaboration with academia (e.g., Mila, Scripps, Gates Foundation); active hiring for senior ML scientists, computational biologists, and data engineers.

## Sources
1. [relationrx.com](https://www.relationrx.com/)
2. [relationrx.com/careers](https://www.relationrx.com/careers)
3. [relationrx.com/about](https://www.relationrx.com/about)
4. [LinkedIn – Relation Therapeutics](https://uk.linkedin.com/company/relation-therapeutics)
5. [jobs.ashbyhq.com/relationrx](https://jobs.ashbyhq.com/relationrx)

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