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:-
Bioinformatics Architecture & Infrastructure - design, implement & maintain auditable backend for GMB data from raw shotgun metagenomic sequencing
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Data Engineering – build & maintain cloud infra: databases, distributed computing workflows & REST endpoints for microbial sequence & clinical metadata
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Statistical Analysis – Lead design, execution & documentation of reproducible computational experiments end-to-end
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Methods Development – Develop & implement novel analytical methodologies & algorithms informed by experimental findings & validated via rigorous evaluation
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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)
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Proficiency in Python & JavaScript & experience in production-quality software
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PostgreSQL or other relational SQL database proficiency
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Familiarity with clinical ontologies (SNOMED, ICD-11, ATC, LOINC)
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Familiarity with AWS & best practices in computer security
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Proficiency with modern frontend web technologies
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Excellent communication; translates complex scientific concepts to diverse stakeholders
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Strong ownership mindset & the ability to execute in fast-moving environments
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Expertise in bioinformatics pipelines, QC & reproducibility
Preferred-
NGS data experience
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Familiarity with longitudinal / repeated-measures biological datasets & GMB-specific challenges (compositional data, variability, confounders)
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Experience integrating ontologies / standardized vocabularies
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Exposure to cloud infrastructure, workflow orchestration or containerization
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Interest in AI/ML for large biological datasets
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