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- Tasks: Join our Talent Pool for future opportunities in Computational and Discovery roles.
- Company: Relation, a pioneering TechBio company transforming medicine with cutting-edge technology.
- Benefits: Be part of a diverse team, with opportunities for growth and innovation.
- Other info: Dynamic environment in London with a commitment to inclusivity and collaboration.
- Why this job: Contribute to groundbreaking therapies that impact patients' lives and redefine drug discovery.
- Qualifications: Experience in life sciences, research, or ML engineering is a plus.
The predicted salary is between 50000 - 70000 £ per year.
Interested in joining Relation but don’t see the right opportunity on our careers page? Please submit your CV to our Talent Pool for consideration for our growth plans in 2025!
We're interested in anyone working within Computational and Discovery roles within Life Sciences, alongside Research & ML Engineering for high performance multi GPU computing from other industries.
About Relation: Relation is an end-to-end biotech 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 directly from patient tissue, functional assays, and machine learning to drive disease understanding—from cause to cure.
This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with GSK’s 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 impactful therapies 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 reach their highest potential.
By joining Relation, you will become 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 is a committed equal opportunities employer.
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.
Talent Pool in London employer: relationrx
Contact Detail:
relationrx Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Talent Pool in London
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your expertise in Computational and Discovery roles. This gives us a taste of what you can bring to the table.
✨Tip Number 3
Stay proactive! Keep an eye on our careers page and apply through our website, even if the perfect role isn’t listed yet. We love seeing enthusiastic candidates who are eager to join our journey.
✨Tip Number 4
Prepare for interviews by researching our recent projects and collaborations, like the one with GSK. Knowing our work will help you stand out and show us you're genuinely interested in being part of our team.
We think you need these skills to ace Talent Pool in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your skills and experiences that align with the roles we're looking for. We want to see how your background fits into our vision at Relation, so don’t hold back on showcasing your relevant achievements!
Craft a Compelling Cover Letter: Even if it’s not required, a cover letter can really set you apart. Use it to tell us why you're passionate about joining Relation and how you can contribute to our mission in drug discovery. Let your personality shine through!
Keep It Concise: We appreciate clarity and brevity. Make sure your CV and any additional documents are easy to read and straight to the point. Highlight key information without overwhelming us with too much detail.
Apply Through Our Website: For the best chance of being considered, make sure to submit your application through our website. This helps us keep everything organised and ensures your CV gets into the right hands as we plan for our growth in 2025!
How to prepare for a job interview at relationrx
✨Know Your Stuff
Before the interview, dive deep into Relation's work in biotech and their innovative approaches. Familiarise yourself with their projects, especially the collaboration with GSK. This shows genuine interest and helps you connect your skills to their mission.
✨Showcase Your Skills
Be ready to discuss your experience in Computational and Discovery roles, particularly in Life Sciences or ML Engineering. Prepare specific examples of how you've used multi-GPU computing or machine learning in past projects to solve complex problems.
✨Ask Smart Questions
Prepare thoughtful questions about Relation's future growth plans and their approach to drug discovery. This not only demonstrates your enthusiasm but also gives you insight into how you can contribute to their goals.
✨Emphasise Teamwork
Relation values collaboration, so highlight your experience working in interdisciplinary teams. Share examples of how you've successfully collaborated with others to drive innovation and achieve results in your previous roles.