Computational Biologist: Microbiome & AI Scientist

Mitch Mula - State Farm Agent; Greater London; Hybrid; GBP 50,000 - 70,000; Full time

Benefits offered by this job

Equity options

Medical/dental/vision coverage

Job summary

Outpost Bio is seeking a Computational Biologist to bridge wet-lab and computational teams in London. You will analyze proprietary multi-omics data, run computational studies, and build analytical foundations for our AI platform. The role emphasizes causal interpretation, reproducible pipelines, and collaboration across projects in a fast-moving startup.

Relocation is supported. You should have a PhD (or MSc with 3+ years) in computational biology or related field, with hands-on microbiome data

Qualifications

• Strong background in multi-omic data analysis and interpretation.
• Experience with microbiome or metagenomics data and pipelines.
• Proven ability to write reproducible, version-controlled code.

Responsibilities

• Analyze proprietary multi-omic datasets and run computational studies.
• Develop reproducible analytical pipelines and documentation.
• Collaborate with wet-lab, data engineering and ML teams.
• Ensure data quality and manage perturbation data between bench and models.
• Publish findings and contribute to model development feedback loop.

Skills

Python

R programming

Git

Linux/CLI

Cloud computing basics

Biology data analysis

Education

PhD in computational biology / bioinformatics / microbial genomics or related

MSc with 3+ years relevant industry experience

Tools

Nextflow

Snakemake

LC-MS workflows

Job description

Outpost Bio is seeking a Computational Biologist to bridge wet-lab and computational teams in London. You will analyze proprietary multi-omics data, run computational studies, and build analytical foundations for our AI platform. The role emphasizes causal interpretation, reproducible pipelines, and collaboration across projects in a fast-moving startup.

Relocation is supported. You should have a PhD (or MSc with 3+ years) in computational biology or related field, with hands-on microbiome data