Remote Computational Biologist (Neuroscience/Proteomics)

Talvo; United Kingdom; Remote; GBP 69,000 - 124,000; Full time

Benefits offered by this job

Remote-first

Job summary

Talvo seeks Computational Biologist to join their Neuroscience and Proteomics efforts. You will validate AI models using real datasets, identify where AI misjudges biology, and guide improvements.

You will work hands-on with neurophysiology, imaging, omics data, and mass spectrometry, collaborating with engineers to translate science into new tools. Ideal candidates have hands-on data analysis in the last two years, a strong publication record, and deep domain expertise in neuroscience or

Qualifications

• PhD or MD/PhD with publication record; postdocs welcome.
• Hands-on data analysis in the last 2 years with own data generation and conclusions.
• Proficient coding in Python or R.
• Ability to justify chosen methods and defend them in writing and live.
• Strong command of experimental design and statistics.

Responsibilities

• Turn real analyses into hard, defensible questions with a single answer.
• Build scenarios covering the full scientific process from hypothesis to conclusions.
• Work with real neuroscience and proteomics data (neural electrophysiology, imaging, omics; mass spec).
• Spot when AI answers are wrong, report limitations and improve methods.
• Collaborate with engineers to convert scientific judgment into new tools and workflows.

Skills

Deep domain expertise

Analyses own data

Python or R

AI-native

Experimental design

Statistics

Tool-building

Handling messy data

Pipeline evaluation

Education

PhD or MD/PhD in neuroscience or proteomics

Tools

Mass spectrometry

Python

R

Job description

Talvo seeks Computational Biologist to join their Neuroscience and Proteomics efforts. You will validate AI models using real datasets, identify where AI misjudges biology, and guide improvements.

You will work hands-on with neurophysiology, imaging, omics data, and mass spectrometry, collaborating with engineers to translate science into new tools. Ideal candidates have hands-on data analysis in the last two years, a strong publication record, and deep domain expertise in neuroscience or