Bioinformatician | Precision Medicine | Remote

JR United Kingdom; Newcastle upon Tyne; Remote; GBP 40,000 - 60,000; Full time

Job summary

A UK-based biotech is seeking a skilled Bioinformatician to support proteomics data analysis as part of a pioneering team in precision medicine. In this role, you will analyze complex datasets, collaborate with clinical teams, and contribute to innovative projects. This opportunity emphasizes scientific collaboration, clear communication, and advanced analytical skills in a fast-paced research environment.

Qualifications

• 3 years experience with statistical or machine learning methods for biological data.
• 2 years experience in proteomic bioinformatics.
• Experience with phosphoproteomics data advantageous.

Responsibilities

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

Skills

Statistical methods

Machine learning

Programming in R

Biomarker discovery

Data analysis with LC-MS/MS

Education

PhD in a STEM discipline

Tools

Python

C++

Job description

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Bioinformatician | Precision Medicine | Remote, newcastle-upon-tyne, tyne and wear

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Client:

Cubiq Recruitment

Location:

newcastle-upon-tyne, tyne and wear, 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.