Microbiome Computational Biologist - ML & Data, Equity

Outpost; Greater London; Hybrid; GBP 55,000 - 70,000; Full time

Benefits offered by this job

Equity

Private medical & dental

Pension

Life insurance

Cycle to Work

Job summary

Outpost Bio is seeking a Computational Biologist to turn microbiome data into biological understanding. You will own computational studies and connect experimental measurements to model inputs.

The role can be based in London or Boston, with ownership of analyses and collaboration across the team. The ideal candidate has a PhD or Master’s with 3+ years' industry research, strong metagenomics experience, and proficiency in Python or R.

Qualifications

• PhD or Master’s + 3+ years of industry research.
• Hands-on analysis of metagenomic or 16S data.
• Statistical design and multiple testing concepts.
• Proficient in Python and/or R with reproducible code.
• Experience with comparative genomics or sequence-based methods.
• Ability to explain data support to non-specialists.
• Nice to have: LC-MS data processing or cloud analyses.

Responsibilities

• Run standard analyses on experiments and calibrate them against controls.
• Assess datasets for model training and document suitability.
• Integrate new data types into workflows with scientists’ guidance.
• Document assumptions behind computational tools.
• Develop and validate methods for 16S and metagenomic data.
• Investigate drug/chemical responses across donors and conditions.
• Collaborate with experimental and ML teams to refine hypotheses.
• Write reusable analysis code and communicate results clearly.

Skills

Python

R

Metagenomics

16S data

Statistics

Education

PhD in a relevant field

Master's + 3+ years industry research

Tools

Git

Linux

Nextflow

Snakemake

Job description

Outpost Bio is seeking a Computational Biologist to turn microbiome data into biological understanding. You will own computational studies and connect experimental measurements to model inputs.

The role can be based in London or Boston, with ownership of analyses and collaboration across the team. The ideal candidate has a PhD or Master’s with 3+ years' industry research, strong metagenomics experience, and proficiency in Python or R.