Member of Technical Staff, Intelligence - Functional Genomics

About the role

This role owns the analysis of functional genomics data within a stealth AI and biology startup. You will act as the primary computational partner to scientists, overseeing the entire lifecycle of perturbation screens from experimental design to hit calling and evidence presentation. The position involves building scalable pipelines for multimodal data, including single-cell sequencing, high-content imaging, and proteomics.

Responsibilities

• Own the analysis of functional genomics data including QC, guide assignment, and differential expression.
• Build and maintain image-based profiling pipelines for Cell Painting.
• Advise scientists on experimental design, covering power, replication, and batch effects.
• Integrate proteomic, transcriptomic, and imaging readouts using robust statistical methods.
• Collaborate with the software team to ensure pipelines are reproducible, versioned, and scalable.
• Present analytical results and QC metrics to leadership and scientific teams.

Required skills

• Python
• R
• Git
• Single-cell RNA-seq
• Scanpy
• Seurat
• CRISPR screen QC
• Statistical modeling
• Machine learning
• Linear models
• Mixed models

Nice to have

• Perturb-seq
• Combinatorial-barcoding
• CellProfiler
• pycytominer
• Deep-learning image analysis
• Multi-omic integration
• Nextflow
• Snakemake
• Docker
• AWS

Qualifications

• PhD in genomics, bioinformatics, computational biology, statistics or a related field
• Master’s degree in genomics, bioinformatics, computational biology, statistics or a related field with two to three years of relevant experience

Benefits

• 30 days of annual leave
• Public holidays
• Pension with 10% employer contribution
• Bupa private health cover

About the Company

Ai Bio is a stealth startup building infrastructure for data generation in the AI and biology space. The company focuses on producing high-quality, traceable data to solve fundamental problems in biology.