Bioinformatics Scientist
Core
Turn vast, heterogeneous biological data (primarily microbiomes) into annotated, trustworthy, machine-readable resources for AI models and therapeutic research.
Role type
Bioinformatics Scientist (Genomics)
Builds
Biological datasets (e.g., Trillion Gene Atlas) and new methods/tools for data labeling and mining
Domain
Life Sciences / Genomics / AI
Deliverable
production ML models
Required skills
sequence informatics, data curation, method development, biological judgment, ML integration, data integrity management
Preferred skills
microbiome analysis, workflow orchestration (Dagster/Nextflow), compiled languages (C++, Rust, Golang), ML model fine-tuning
Technologies
long-read sequencing, microbiome data, workflow orchestrators
Responsibilities
Analyse diverse biological datatypes to distinguish signal from artefact; Develop new methods and tools to label and mine data; Design approaches for non-standard biological data; Prototype methods and validate at scale; Integrate newer ML methods for annotation and mining; Ensure data provenance and integrity; Build outward-facing tools for discovery
Seniority
Mid-Senior, hands-on IC
