Senior 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 an experienced

Senior Scientist to drive our automation capabilities in running 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 and Technology, whilst

still being provided the opportunity to expand your skills and advance your knowledge-base on assay development, screening and

automation.

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

Integrate human primary cell lines into robust monoculture and co-culture models that are capable of large batch production and

compatible for high throughput readouts, with the necessary quality control (QC).

Characterise and optimise multiplexed imaging and biochemical assays that provide readouts for functional phenotyping.

Transition manually developed perturbation models into an automated arrayed screen.

Contribute to the development and implementation of new technologies, workflows, and operational infrastructure.

Carrying out data analysis and relevant quality assurance protocols.

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 5+ years experience and demonstrable knowledge in assay development and/or target validation.

Strong background in culturing of primary and immortalised cell lines as well as functional disease relevant endpoints with the

aim of ensuring required reproducibility and sensitivity in those assays.

Hands-on experience in image capture and data interpretation using High content imaging with cell painting.

Scientific knowledge of fibrosis across various tissues.

Knowledge of CRISPR/Cas9 gene editing for modulating gene expression in 2D and 3D cell systems.

Prior experience running pathway-modifying perturbation screens.

Experience with automated laboratory systems.

Extensive knowledge in industry-standard large ‘omic dataset handling and 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

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.

Roll

Senior Scientist, Model Systems

Plats

London

Publicerad

6 juli

Sista ansökningsdag

16 augusti

Taggar för det här jobbet

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