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Ai In Bioinformatics Jobs in Illinois (NOW HIRING)

Senior Bioinformatics Engineer Compensation: $125K - $200K base + 0.25% - 0.5% equity stock options ... Interest in AI/ML for large biological datasets Powered by JazzHR dFkcM6C0LV

Recent advancements in underlying technology have finally made it possible for AI to impact ... We are seeking a highly motivated and capable Bioinformatics Scientist to join our Liquid Biopsy ...

Bioinformatician

Chicago, IL · On-site

$80K - $110K/yr

Knowledge in bioinformatics methods and statistical tools for the analyses of genomic data ... Cover Letter (required) The University of Chicago uses AI-assisted tools to streamline and augment ...

Postdoctoral Fellow

Campus, IL · On-site

$47K - $64K/yr

... mission in biomedical research and workforce development. The position provides access to ... Development of AI/ML methods and bioinformatics pipelines (30%) * Manuscript preparation ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

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Infographic showing various Ai In Bioinformatics job openings in Illinois as of August 2026, with employment types broken down into 81% Full Time, 8% Part Time, and 11% Contract. Highlights an 81% In-person, and 19% Remote job distribution.

Senior Bioinformatics Engineer

BiomeSense

Chicago, IL • On-site

$125K - $200K/yr

Full-time

Re-posted 3 days ago


Job description

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
  • 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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