Postdoc, Vaccine-Design & Decision Platform

1000scholars; Liverpool; On-site; GBP 60,000 - 90,000; Full time

Job summary

1000scholars is recruiting a curious, rigorous and delivery-minded scientist to turn the complexity of vaccine design into a usable decision platform at the Liverpool School of Tropical Medicine. This full-time, 12-month FTC role focuses on T-cell antigen and peptide prioritisation within the MalariaGEN team.

You will develop scalable, reproducible computational workflows, integrate diverse data sources, and collaborate with international researchers to generate actionable insights and

Qualifications

• PhD in a relevant quantitative or life-science discipline or substantial equivalent experience.
• Strong programming skills, preferably Python, with sound software-engineering practices.
• Experience analyzing or managing large, complex biological datasets.
• Experience with statistical analysis, machine learning, and model evaluation.
• Experience building reproducible workflows and analytical pipelines in HPC or cloud environments.

Responsibilities

• Build the core decision platform at scale with scalable, tested local and cloud workflows for peptide evaluation and predictions.
• Integrate evidence across multiple criteria including antigen presentation, population coverage, and conservation.
• Turn data and experiments into decisions with transparent scoring and prioritisation methods.
• Collaborate with international researchers to provide analyses, support, and reusable pipelines and documentation.

Skills

Python

Data analysis

Machine learning

Workflow automation

Cloud computing

Education

PhD in quantitative or life-science

Tools

HPC

Cloud platforms

Job description

1000scholars is recruiting a curious, rigorous and delivery-minded scientist to turn the complexity of vaccine design into a usable decision platform at the Liverpool School of Tropical Medicine. This full-time, 12-month FTC role focuses on T-cell antigen and peptide prioritisation within the MalariaGEN team.

You will develop scalable, reproducible computational workflows, integrate diverse data sources, and collaborate with international researchers to generate actionable insights and