Bioinformatics Engineer

Valtera Group Ltd; United Kingdom; Remote; GBP 100,000 - 150,000; Full time

Job summary

Valtera Group Ltd is seeking a bioinformatics specialist to hands-on analyze real data and evaluate AI systems in a fully remote UK role. You will run analyses in Python or R and help set rigorous scientific standards for AI evaluation.

The ideal candidate has a PhD in biology, 2+ years of hands-on research, recent analyses, and can work independently on published or industry work. You will collaborate with engineers and scientists to deliver high-quality results.

Qualifications

• PhD in biology or closely related field.
• 2+ years of hands-on research experience.
• Recent hands-on analysis in the last two years.
• Strong Python and/or R, with analyses you built yourself.
• Comfortable working with AI tools and spotting when outputs are wrong.
• Bonus: experience with AI coding assistants or building evaluations.

Responsibilities

• Analyse real, complex biological datasets in Python or R, from raw data to conclusion.
• Create analytical questions with clear, verifiable answers grounded in real data.
• Develop automated scoring that checks AI outputs against the correct scientific result.
• Review AI-generated code and analysis, identifying flawed methods and statistical errors.
• Separate real biological signal from noise, batch effects, confounds and pipeline artefacts.
• Collaborate with engineers and scientists to meet a high scientific quality bar.
• Explain and defend your methodological choices clearly, in writing and in discussion.
• Deliver high-quality work against agreed weekly targets.

Skills

Python

R

Biology background

AI evaluation

Data analysis

Education

PhD in Biology

Tools

Python

R

Job description

United Kingdom, fully remote

Contract, fully remote, ASAP start, six-figure OTE with uncapped performance-based earnings

Apply hands‑on bioinformatics expertise to evaluating AI on real data

Omics, computational biology and AI evaluation

A fast‑growing AI and life sciences company is expanding its scientific team to meet strong client demand. The team evaluates how well advanced AI systems handle real biological data analysis. This role suits a trained biologist who writes their own code: you will work with real datasets, run the analysis yourself and use it to judge AI performance. Working alongside engineers and fellow scientists, you will help set a rigorous scientific standard.

What You Will Do

• Analyse real, complex biological datasets in Python or R, from raw data to conclusion.
• Create analytical questions with clear, verifiable answers grounded in real data.
• Develop automated scoring that checks AI outputs against the correct scientific result.
• Review AI-generated code and analysis, identifying flawed methods and statistical errors.
• Separate real biological signal from noise, batch effects, confounds and pipeline artefacts.
• Collaborate with engineers and scientists to meet a high scientific quality bar.
• Explain and defend your methodological choices clearly, in writing and in discussion.
• Deliver high-quality work against agreed weekly targets.

What We’re Looking For

• PhD in a biological discipline or a closely related field.
• 2+ years of hands‑on research experience, evidenced by publications or industry work.
• Recent hands‑on analysis in your field, within roughly the last two years.
• Strong Python and/or R, with analyses you have built yourself.
• Core training in biology: this role is not suited to pure pipeline, infrastructure or data engineers.
• Clear reasoning on why you chose a method and what its limitations are.
• Comfortable working alongside AI tools and spotting when their output is wrong.
• Bonus: experience with AI coding assistants, or building evaluations, test sets or scoring logic.