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 40000 - 50000 € 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 employer: SableBio Limited
Join a forward-thinking team as a Bioinformatician/Computational Biologist, where your expertise will directly contribute to the development of innovative safety intelligence software for drug discovery. Located in Aldgate East, we offer a hybrid working model that promotes work-life balance, alongside opportunities for personal and professional growth, including company equity and dedicated time for personal development every Friday afternoon. Our collaborative work culture encourages continuous learning and the chance to make a meaningful impact in the field of biomedical data analysis.
StudySmarter Expert Advice🤫
We think this is how you could land Bioinformatician / Computational Biologist
✨Tip Number 1
Network like a pro! Reach out to professionals in the bioinformatics and computational biology fields on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python programming and biological data analysis. This is your chance to demonstrate your expertise and make a lasting impression. We recommend linking this portfolio in your applications through our website.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Be ready to discuss how you've tackled real-world problems using computational methods. We suggest practising common interview questions and even doing mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Follow up after interviews! A simple thank-you email can go a long way in keeping you top of mind. Use this opportunity to reiterate your enthusiasm for the role and how your skills align with their needs. Remember, we’re all about making connections that count!
We think you need these skills to ace Bioinformatician / Computational Biologist
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your Python programming skills and any experience you have with biological data. We want to see how your expertise aligns with our needs, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for the Bioinformatician/Computational Biologist role. Mention specific projects or experiences that relate to drug discovery and safety intelligence – it’ll make you stand out!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate excellent documentation skills, so make sure your communication is easy to follow and conveys your scientific concepts effectively.
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 this exciting opportunity with StudySmarter!
How to prepare for a job interview at SableBio Limited
✨Know Your Data
Make sure you’re familiar with 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 worked with these datasets in the past will show your expertise and relevance to the role.
✨Show Off Your Coding Skills
Since strong Python programming skills are a must, be prepared to discuss specific projects where you've used Python to analyse biological data. If possible, bring examples of your code or projects that demonstrate your ability to design computational pipelines.
✨Communicate Clearly
You’ll need to convey complex scientific concepts to a multidisciplinary audience. Practice explaining your previous work in simple terms, focusing on how your contributions supported drug discovery decision-making. This will highlight your communication skills and ability to work collaboratively.
✨Demonstrate Ownership and Initiative
The company is looking for self-motivated individuals who can take ownership of projects. Prepare examples of times when you’ve independently scoped and driven projects from concept to delivery. This will showcase your enthusiasm for continuous learning and professional development.
