Freelance Bioinformatics / ML Researcher

Barrington James; Remote; GBP 60,000 - 90,000; Full time

Job summary

A leading biotechnology firm in the UK is seeking a Freelance Bioinformatics / ML Researcher to support disease prediction through polygenic risk scoring. You will work with cutting-edge genomic datasets and collaborate on impactful research. Ideal candidates have strong computational skills and familiarity with statistical genetics. This fully remote, freelance role offers flexible hours and a chance to make significant contributions to scientific methods and tools in the field.

Benefits

Flexible hours

Fully remote work

Qualifications

• Strong computational and statistical skills are essential.
• Experience with large bio-bank scale datasets is preferred.
• Familiarity with PRS and statistical genetics is advantageous.

Responsibilities

• Collaborate on high-impact research with the CTO.
• Develop and validate polygenic risk scoring methods.
• Support research with genomic datasets.

Skills

Computational skills

Statistical skills

Bioinformatics experience

Python programming

Rust programming

AWS workflows

Education

Post-doctoral or 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