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- Tasks: Analyse proteomics data and collaborate on clinical research projects.
- Company: Join a UK-based biotech startup focused on precision medicine and biomarker discovery.
- Benefits: Enjoy remote work flexibility and the chance to work on innovative projects.
- Why this job: Be part of a fast-paced team making a real impact in healthcare.
- Qualifications: PhD in STEM, 3 years experience with statistical methods, strong programming skills.
- Other info: Exciting growth opportunities in a collaborative environment.
The predicted salary is between 48000 - 60000 £ per year.
A UK-based biotech is looking for a skilled Bioinformatician to support proteomics data analysis and interpretation, as part of a growing team delivering next-generation biomarker discovery and predictive modelling tools for precision medicine.
This role offers the opportunity to contribute across the full lifecycle of clinical research projects – from study design through to publication and patent preparation – while working in close collaboration with wet-lab scientists, data scientists and software engineers. You’ll join a fast-paced, multi-disciplinary environment that values clear scientific thinking and practical problem-solving.
Key Responsibilities- Analyse proteomics datasets using an internal suite of computational tools
- Develop and maintain statistical and machine learning methods to support biomarker discovery and validation
- Collaborate with wet-lab and clinical teams to guide experimental design and interpret results
- Build and maintain code that supports both research and translational efforts
- Contribute to the development of tools aimed at deploying predictive signatures in clinical settings
- PhD (or equivalent experience) in a STEM discipline
- 3 years experience with statistical or ML methods applied to high-dimensional biological data
- 2 years experience in proteomic bioinformatics
- Strong programming skills in R (Python/C++ a bonus)
- Familiarity with biomarker discovery, LC-MS/MS data analysis, and experimental design
- Comfortable working with complex multi-modal datasets in a collaborative research environment
- Experience with phosphoproteomics data would be highly advantageous
- Experience in start-up, biotech or translational research settings
- Cloud computing or regulated environment experience
- Ability to clearly communicate results across disciplines
This is an opportunity to join an early-stage precision medicine startup with big growth plans. They’re looking for candidates who are excited by their mission and are passionate about working on innovative projects within a collaborative environment.
Please apply with a copy of your CV - j.phillips@cubiqrecruitment.com
Salary: £48,000 - £60,000 DOE
Bioinformatician | Precision Medicine | Remote employer: Cubiq Recruitment
Contact Detail:
Cubiq Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Bioinformatician | Precision Medicine | Remote
✨Tip Number 1
Familiarise yourself with the latest trends in proteomics and precision medicine. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews, showcasing your passion and knowledge.
✨Tip Number 2
Network with professionals in the bioinformatics field, especially those working in biotech or precision medicine. Attend relevant webinars, conferences, or local meetups to make connections that could lead to referrals or insider information about the company.
✨Tip Number 3
Brush up on your programming skills, particularly in R, as this is crucial for the role. Consider contributing to open-source projects or creating your own small projects to demonstrate your coding abilities and problem-solving skills.
✨Tip Number 4
Prepare to discuss your experience with statistical and machine learning methods in detail. Be ready to provide examples of how you've applied these techniques to high-dimensional biological data, as this will be a key focus during the interview process.
We think you need these skills to ace Bioinformatician | Precision Medicine | Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in bioinformatics, particularly with proteomics data analysis and machine learning methods. Emphasise your programming skills in R and any experience with Python or C++.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for precision medicine and your ability to work collaboratively in a multi-disciplinary environment. Mention specific projects or experiences that align with the job responsibilities.
Highlight Relevant Experience: In your application, clearly outline your experience with high-dimensional biological data and any familiarity with biomarker discovery. If you have worked with phosphoproteomics data, make sure to mention it as it is highly advantageous.
Showcase Communication Skills: Since the role requires clear communication of results across disciplines, include examples in your application where you successfully communicated complex scientific concepts to non-experts or collaborated with diverse teams.
How to prepare for a job interview at Cubiq Recruitment
✨Showcase Your Technical Skills
Make sure to highlight your programming skills, especially in R, during the interview. Be prepared to discuss specific projects where you've applied statistical or machine learning methods to biological data, as this will demonstrate your expertise and relevance to the role.
✨Prepare for Collaborative Scenarios
Since the role involves working closely with wet-lab scientists and data teams, think of examples from your past experiences where you successfully collaborated across disciplines. This will show your ability to communicate effectively and work in a team-oriented environment.
✨Understand the Company’s Mission
Research the biotech company’s focus on precision medicine and biomarker discovery. Being able to articulate why their mission resonates with you can set you apart and show your genuine interest in contributing to their goals.
✨Discuss Your Problem-Solving Approach
Be ready to talk about how you approach complex problems, particularly in the context of proteomics data analysis. Sharing specific examples of challenges you've faced and how you overcame them will illustrate your practical problem-solving skills.
