Bioinformatician | Precision Medicine | Remote

JR United Kingdom; Cheltenham; Remote; GBP 40,000 - 70,000; Full time

Job summary

A UK-based biotech firm seeks a Bioinformatician to support proteomics data analysis within a collaborative setting. This role involves the application of statistical and machine learning methods in clinical research projects, offering the chance to influence innovative approaches in precision medicine.

Qualifications

• 3 years experience with statistical or ML methods applied to biological data.
• 2 years experience in proteomic bioinformatics.
• Comfortable working with complex multi-modal datasets.

Responsibilities

• Analyse proteomics datasets using computational tools.
• Develop statistical and machine learning methods for biomarker discovery.
• Collaborate with teams to guide experimental design.

Skills

Statistical methods

Machine learning methods

Programming in R

Biomarker discovery

Data analysis of LC-MS/MS

Education

PhD (or equivalent experience) in a STEM discipline

Job description

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Bioinformatician | Precision Medicine | Remote, cheltenham

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Client:

Cubiq Recruitment

Location:

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.