Freelance Bioinformatics / ML Researcher

Barrington James; Remote; GBP 60,000 - 80,000; Part time

Job summary

A leading disease prediction company in the UK seeks a Freelance Bioinformatics / ML Researcher to support innovative research in disease prediction through polygenic risk scoring. The ideal candidate will possess a strong background in bioinformatics or related fields, with expertise in computational and statistical methods. This role offers the flexibility of working hours and fully remote opportunities, enabling you to contribute effectively from anywhere.

Benefits

Flexible hours

Fully remote work

Qualifications

• Experience with large bio-bank scale datasets.
• Knowledge of PRS, statistical genetics, and disease risk modelling.
• Familiarity with scientific validation techniques.

Responsibilities

• Work alongside the CTO and Lead Data Scientist on impactful research.
• Develop and validate polygenic risk scoring methods.
• Refine statistical and computational models.

Skills

Computational skills

Statistical skills

Python programming

Rust programming

AWS/cloud workflows

Education

Post-doctoral / PhD

Job description

Freelance Bioinformatics / ML Researcher

We are supporting a fast-developing disease prediction company, leading the way of decoding complex diseases through polygenic risk scoring (PRS) and health data. We are looking for a keen post-doc, staff scientist or student (within genomics, computer science, bioinformatics, or another relevant field) with strong computational / statistical skills to help build the next generation of disease prediction by focusing on PRS, model validation and scientific methods.

Core Responsibilities

• Work alongside our CTO and Lead Data Scientist on high impact research
• Develop and validate PRS methods
• Help refine statistical and computational models
• Work with genomic datasets helping support research
• Work independently making key decisions
• Help towards open-source tools and internal research pipelines
• Build scientific tools and software within Python / Rust

Preferred Experience

• Post-doctoral / PhD
• Experience in dealing with large bio-bank scale datasets (UKBB or AoU)
• PRS, statistical genetics and disease risk modelling experience
• Relevant publications / contributions
• Familiarity with scientific validation (calibration, benchmarking, AUC / r², evaluation)
• Python / Rust programming
• AWS or cloud-based workflows

Additional Details

• Flexible hours
• Fully remote
• Freelance role