At a Glance
- Tasks: Lead innovative research in functional genomics and develop cutting-edge assays.
- Company: Relation is a pioneering biotech firm focused on transformative medicines and advanced technology.
- Benefits: Enjoy a collaborative environment, state-of-the-art labs, and opportunities for professional growth.
- Why this job: Make a real impact on patient lives while working with top-tier scientists in a dynamic setting.
- Qualifications: PhD with 8+ years in biotech or pharma, plus hands-on experience in high-throughput screening.
- Other info: Join a diverse team committed to innovation and equal opportunities.
The predicted salary is between 54000 - 90000 £ per year.
Relation is an end-to-end biotech 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 directly from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure.
This year, we’ve embarked on an exciting double collaboration with GSK to tackle fibrosis and osteoarthritis, alongside advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with their deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients.
We are rapidly scaling our technology and discovery teams, offering a unique opportunity to join one of the most innovative TechBio companies. Be part of our dynamic, interdisciplinary teams, collaborating closely to redefine the boundaries of possibility in drug discovery. Our state-of-the-art wet and dry laboratories, located in the heart of London, provide an exceptional environment to foster interdisciplinarity and turn groundbreaking ideas into positive impact for patients.
We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does 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 cultivate innovation through collaboration, empowering every team member to do their best work and develop to their highest potential.
By joining Relation, you will be part of an exceptionally talented team, with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients’ lives.
Relation has an excellent opportunity for a Principal Scientist to join an interdisciplinary, highly collaborative team of experimental and computational drug discovery researchers in our newly built state-of-the-art functional genomics lab in London.
Large-scale genetic studies, including genome-wide association studies (GWAS), have identified thousands of variants and loci associated with complex diseases. However, the vast majority of these loci lie in non-coding regions of the genome with unknown function, making it challenging to draw disease insights. At Relation, we generate proprietary large-scale datasets to accelerate the prediction of disease genes from these loci using state-of-the-art machine learning methods. We identify the key effector genes, cells, and pathways involved in disease pathophysiology to build disease-relevant assays and validate ML platform predictions, identifying candidate targets for further validation.
Your Responsibilities:
- Contribute intellectually and experimentally to the design and execution of large-scale molecular genetic experiments, including cell model characterisation, assay optimisation, and high-throughput screening.
- Develop, optimise, and implement functional assays to investigate gene function in disease-relevant contexts, with a focus on endothelial and fibroblast biology.
- Work closely with data scientists to develop robust data analysis pipelines.
- Contribute to the biological interpretation of screen hits and drive target validation efforts.
- Stay abreast of new gene-editing technologies and methodologies.
- Support laboratory operations in a start-up environment, contributing to shared responsibilities such as tissue culture maintenance and equipment upkeep.
Professionally, you have:
- A PhD with at least eight years of experience and an outstanding track record in academia, biotech, or pharma.
- Hands-on experience in characterising and developing high-throughput functional screening assays for a variety of primary cells, including endothelial cells (e.g. EndoMT, tube formation/angiogenesis, permeability assays).
- At least four years of hands-on experience leading the generation of large-scale, high-quality screening data in an arrayed format, incorporating liquid handling or automation where relevant.
- At least two years of hands-on research experience applying the latest CRISPR/Cas genome-editing techniques, including nucleofection and/or lentiviral transductions.
- A proven ability to deliver within tight timelines.
Desirable:
- Experience with high-content imaging-based high-throughput screens and/or FACS-based pooled screens.
- Experience with siRNA, antisense oligonucleotides (ASO), and other interventions for high-throughput screening.
- Experience of interdisciplinary team working, particularly with computational scientists.
- Broad expertise in molecular biology, including molecular cloning and cell line engineering.
Personally, you have:
- A willingness to operate within a start-up environment, including delivering to tight timelines, adapting to changing priorities, and supporting laboratory operations.
- Excellent attention to detail, alongside strong analytical and critical thinking skills.
- The ability to build effective working relationships and work collaboratively within a team.
- Strong communication skills, with the ability to engage effectively with scientists from multiple disciplines.
- An inquisitive nature, with a self-motivated approach and a desire to learn.
- A passion for working in a fast-paced, data-driven environment.
This is an exciting opportunity to be part of a company that is redefining how we understand genetics and disease risk. Your contributions will directly impact the development of transformative medicines for patients. Together, we’re not just conducting research—we’re setting new standards in machine learning and genetics. The patient is waiting.
Contact Detail:
Relation Therapeutics Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Scientist - Functional Genomics
✨Tip Number 1
Network with professionals in the biotech and functional genomics fields. Attend relevant conferences, webinars, or workshops to meet potential colleagues and learn about the latest advancements. This can help you gain insights into the company culture at Relation and may even lead to referrals.
✨Tip Number 2
Familiarise yourself with the latest gene-editing technologies and methodologies mentioned in the job description. Being able to discuss these topics knowledgeably during interviews will demonstrate your commitment and expertise in the field, making you a more attractive candidate.
✨Tip Number 3
Prepare to showcase your hands-on experience with high-throughput screening assays. Be ready to discuss specific projects where you've successfully implemented these techniques, as this will highlight your practical skills and ability to deliver results under tight timelines.
✨Tip Number 4
Research Relation's recent collaborations and projects, especially with GSK. Understanding their current focus areas will allow you to tailor your discussions and show how your background aligns with their goals, making you stand out as a candidate who is genuinely interested in their work.
We think you need these skills to ace Principal Scientist - Functional Genomics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in functional genomics, high-throughput screening, and any specific techniques mentioned in the job description, such as CRISPR/Cas genome-editing. Use keywords from the job listing to align your skills with what Relation is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your passion for drug discovery and how your background aligns with Relation's mission. Mention specific projects or experiences that demonstrate your ability to contribute to their interdisciplinary team and innovative environment.
Showcase Collaborative Experience: Highlight any previous work where you collaborated with data scientists or other disciplines. Relation values teamwork, so providing examples of successful collaborations can strengthen your application.
Demonstrate Problem-Solving Skills: Include examples in your application that showcase your analytical and critical thinking skills. Discuss how you've tackled challenges in past research projects, particularly in fast-paced or start-up environments, to illustrate your adaptability and problem-solving abilities.
How to prepare for a job interview at Relation Therapeutics Limited
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with high-throughput functional screening assays and CRISPR/Cas genome-editing techniques. Highlight specific projects where you successfully implemented these technologies, as this will demonstrate your capability to contribute to the team's goals.
✨Emphasise Collaboration Skills
Since the role involves working closely with data scientists and interdisciplinary teams, share examples of past collaborations. Discuss how you effectively communicated complex ideas and contributed to team success, showcasing your ability to work in a dynamic environment.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss challenges you've faced in previous roles, particularly in a start-up or fast-paced setting. Explain how you adapted to changing priorities and delivered results under tight timelines, which is crucial for the Principal Scientist position.
✨Stay Informed on Industry Trends
Research recent advancements in functional genomics and machine learning applications in drug discovery. Being knowledgeable about current trends will not only impress your interviewers but also show your genuine interest in the field and the company's mission.