Bioinformatician | Precision Medicine | Remote

JR United Kingdom; Cardiff; Remote; GBP 35,000 - 60,000; Full time

Job summary

A UK-based biotech is seeking a Bioinformatician to drive proteomics data analysis within a collaborative, fast-paced research environment. This position involves key responsibilities across the lifecycle of clinical projects, from analysis to the integration of statistical methods and programming to support biomarker discovery. The ideal candidate will hold a PhD and possess strong analytical skills in biological data interpretation and collaboration.

Qualifications

• 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 and familiarity with LC-MS/MS data analysis.

Responsibilities

• Analyse proteomics datasets using an internal suite of computational tools.
• Develop and maintain statistical and machine learning methods.
• Collaborate with wet-lab and clinical teams to guide experimental design.

Skills

Statistical methods

Machine learning

Programming in R

Biomarker discovery

Data analysis

Collaboration

Education

PhD (or equivalent experience) in a STEM discipline

Job description

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Client:

Cubiq Recruitment

Location:

cardiff, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

2

Posted:

04.06.2025

Expiry Date:

19.07.2025

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Job Description:

Location: Remote

Reports to: Head of Bioinformatics

About the role

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

Ideal Candidate

• 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.