At a Glance
- Tasks: Transform biological datasets into safety intelligence for drug discovery.
- Company: Join a cutting-edge team in bioinformatics and computational biology.
- Benefits: Company equity, hybrid working, private medical plan, and personal development time.
- Other info: Opportunity to shape the future of our company and grow alongside us.
- Why this job: Make a real impact on drug discovery with innovative technology.
- Qualifications: PhD/MSc in relevant field or BSc with 3+ years experience; strong Python skills required.
The predicted salary is between 50000 - 70000 € per year.
Transform biological datasets into safety intelligence for drug discovery.
About the role
We are seeking a talented Bioinformatician/Computational Biologist to join our team developing cutting‑edge target safety intelligence software. This role combines biological expertise with computational skills to help drive our platform's development and enhance our proprietary datasets.
What you’ll do
- Identify, analyse and integrate biological datasets (e.g., clinical data, functional genomics, mechanistic data) to support target safety assessment.
- Design and build computational pipelines for processing, validating, and analysing biomedical data for use in Sable platform models and features.
- Develop and apply statistical or machine‑learning methods to quantify and prioritise biological risks.
- Interpret results in a biological and translational context, with a focus on supporting drug discovery decision‑making.
- Integrate analyses into Sable platform features, used directly by toxicologists and drug discovery scientists.
- Contribute to a shared codebase alongside scientists and engineers, following good software and data‑engineering practices.
Requirements
- We are looking for self‑motivated individuals who can take ownership of projects, with enthusiasm for continuous learning and professional development.
- PhD or MSc in Computational Biology, Bioinformatics, or related field or BSc with 3+ years of relevant experience applying computational methods to analyse biological data.
- Strong Python programming skills and experience working with biological data.
- Expertise in one or more relevant biomedical domains (e.g., patient‑level data, clinical data, or toxicology).
- Experience translating high‑level scientific or product questions into clear technical deliverables.
- Track record of independently scoping and driving projects from concept to delivery.
- Excellent documentation and communication skills, with the ability to convey scientific concepts and conclusions to multidisciplinary audiences.
Nice to have
- Experience in product development or product‑focused environments.
- Background in drug discovery, or toxicology and safety assessments.
- Familiarity with agile development methodologies.
- Willingness to become our internal merch designer.
What we can offer
- Company equity.
- Hybrid working (home + office in Aldgate East).
- Opportunity to shape the future of our company and grow as we grow.
- Private medical plan.
- Every Friday afternoon free for personal development.
Bioinformatician / Computational Biologist in London employer: SableBio Limited
Join a forward-thinking company that values innovation and collaboration, where as a Bioinformatician/Computational Biologist, you will play a crucial role in transforming biological datasets into safety intelligence for drug discovery. With a hybrid working model based in Aldgate East, we offer a supportive work culture that prioritises continuous learning and professional development, alongside benefits such as company equity and a private medical plan. Here, you will have the unique opportunity to shape the future of our platform while enjoying every Friday afternoon dedicated to your personal growth.
StudySmarter Expert Advice🤫
We think this is how you could land Bioinformatician / Computational Biologist in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the bioinformatics and computational biology fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python and how you've applied it to real-world biological datasets. We want to see your problem-solving skills in action!
✨Tip Number 3
Showcase your projects! Create a portfolio that highlights your work with computational pipelines and statistical methods. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Bioinformatician / Computational Biologist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant experience in bioinformatics and computational biology. We want to see how your skills align with the role, so don’t be shy about showcasing your Python programming prowess and any projects you've driven from concept to delivery.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about drug discovery and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Projects:If you've worked on any relevant projects, whether in academia or industry, make sure to mention them. We’re keen to see how you’ve applied statistical or machine-learning methods to biological data and how that can contribute to our platform.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re proactive and keen to join our team!
How to prepare for a job interview at SableBio Limited
✨Know Your Data
Make sure you’re well-versed in the types of biological datasets mentioned in the job description. Brush up on clinical data, functional genomics, and mechanistic data. Being able to discuss how you've previously integrated or analysed these datasets will show your expertise and enthusiasm for the role.
✨Show Off Your Coding Skills
Since strong Python programming skills are a must, prepare to demonstrate your coding abilities. Bring examples of computational pipelines you've designed or any relevant projects. If you can, walk through your thought process on how you would tackle a specific problem using Python during the interview.
✨Communicate Clearly
You’ll need to convey complex scientific concepts to a multidisciplinary audience. Practice explaining your past projects in simple terms, focusing on the impact of your work. This will help you showcase your excellent documentation and communication skills, which are crucial for this role.
✨Be Ready to Discuss Drug Discovery
Familiarise yourself with the drug discovery process and how bioinformatics plays a role in it. Be prepared to discuss any experience you have in toxicology or safety assessments, as this will demonstrate your understanding of the field and your ability to contribute to the team’s goals.
