Build and maintain the MetaBiome platform: design bioinformatics architecture and reproducible pipelines for shotgun metagenomics, implement cloud-based data engineering and REST endpoints, lead statistical analyses and methods development, integrate clinical ontologies, and contribute frontend/backend interfaces while ensuring QC, security, and compliance.
Senior Bioinformatics Engineer
Compensation: $125K – $200K base + 0.25% - 0.5% equity stock options
About BiomeSense
BiomeSense is a life sciences startup applying gut microbiome (GMB) technologies (GutLab, MetaBiome) to advance personalized medicine. We partner with UCSF, UCSD, NIH & the University of Chicago & are backed by LabCorp Ventures, Bluestein Ventures, Seerave Foundation & Emil Capital Partners.
Position
Help build our MetaBiome platform, a software solution for collecting, curating & analyzing longitudinal GMB & health data at scale. Own the infra, pipelines & analytical workflows that turn raw sequencing data into intelligence, with room to grow into a platform leader.
Responsibilities:
Qualifications
Required
Preferred
Compensation: $125K – $200K base + 0.25% - 0.5% equity stock options
About BiomeSense
BiomeSense is a life sciences startup applying gut microbiome (GMB) technologies (GutLab, MetaBiome) to advance personalized medicine. We partner with UCSF, UCSD, NIH & the University of Chicago & are backed by LabCorp Ventures, Bluestein Ventures, Seerave Foundation & Emil Capital Partners.
Position
Help build our MetaBiome platform, a software solution for collecting, curating & analyzing longitudinal GMB & health data at scale. Own the infra, pipelines & analytical workflows that turn raw sequencing data into intelligence, with room to grow into a platform leader.
Responsibilities:
- Bioinformatics Architecture & Infrastructure - design, implement & maintain auditable backend for GMB data from raw shotgun metagenomic sequencing
- Data Engineering – build & maintain cloud infra: databases, distributed computing workflows & REST endpoints for microbial sequence & clinical metadata
- Statistical Analysis – Lead design, execution & documentation of reproducible computational experiments end-to-end
- Methods Development – Develop & implement novel analytical methodologies & algorithms informed by experimental findings & validated via rigorous evaluation
- Frontend / Backend Development – Design & implement robust data ingestion interfaces leveraging APIs & clinical ontologies, following best practices
Qualifications
Required
- B.S. /M.S. /PhD in Computational Biology, Bioinformatics or a related field with 3+ yrs industry experience (biotech start-up ideal)
- Proficiency in Python & JavaScript & experience in production-quality software
- PostgreSQL or other relational SQL database proficiency
- Familiarity with clinical ontologies (SNOMED, ICD-11, ATC, LOINC)
- Familiarity with AWS & best practices in computer security
- Proficiency with modern frontend web technologies
- Excellent communication; translates complex scientific concepts to diverse stakeholders
- Strong ownership mindset & the ability to execute in fast-moving environments
- Expertise in bioinformatics pipelines, QC & reproducibility
Preferred
- NGS data experience
- Familiarity with longitudinal / repeated-measures biological datasets & GMB-specific challenges (compositional data, variability, confounders)
- Experience integrating ontologies / standardized vocabularies
- Exposure to cloud infrastructure, workflow orchestration or containerization
- Interest in AI/ML for large biological datasets
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