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Bioinformatic Engineer Jobs in Illinois (NOW HIRING)

BiomeSense

Senior Bioinformatics Engineer

Chicago, IL · On-site

$125K - $200K/yr

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 ...

micro1 AI

Bioinformatics Software Engineer

Naperville, IL · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

micro1 AI

Bioinformatics Software Engineer

Joliet, IL · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

micro1 AI

Bioinformatics Software Engineer

Chicago, IL · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

micro1 AI

Bioinformatics Software Engineer

Elgin, IL · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

micro1 AI

Bioinformatics Software Engineer

Aurora, IL · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

micro1 AI

Bioinformatics Software Engineer

Peoria, IL · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

micro1 AI

Bioinformatics Software Engineer

Rockford, IL · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

University of Utah

Bioinformatics Management

Campus, IL · Hybrid

$110K - $122K/yr

  • Medical

  • Retirement

Engineering Development: Full-stack software engineering, data persistence, and application ... Responsibilities Senior Manager, Bioinformatics Requires a bachelor's (or equivalency) + 8 years or ...

University of Utah

Bioinformatics Management

Campus, IL · Hybrid

$110K - $122K/yr

  • Medical

  • Retirement

Engineering Development: Full-stack software engineering, data persistence, and application ... Responsibilities Senior Manager, Bioinformatics Requires a bachelor's (or equivalency) + 8 years or ...

University of Utah

Bioinformatics Management

Campus, IL · Hybrid

$110K - $122K/yr

  • Medical

  • Retirement

Engineering Development: Full-stack software engineering, data persistence, and application ... Responsibilities Senior Manager, Bioinformatics Requires a bachelor's (or equivalency) + 8 years or ...

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All JobsBioinformatic Engineer JobsBioinformatic Engineer Jobs in Illinois

Bioinformatic Engineer information

See Illinois salary details

$32K

$86.4K

$137.6K

How much do bioinformatic engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for bioinformatic engineer in Illinois is $86,421.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $105,600.00 per year, depending on experience, location, and employer.

What is the difference between Bioinformatic Engineer vs Bioinformatics Analyst?

AspectBioinformatic EngineerBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fieldsBachelor's or Master's in Bioinformatics, Biology, or related fields
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, healthcare, pharmaceutical companies
Employer & Industry UsageDevelops tools, pipelines, and software for biological data analysisAnalyzes biological data, interprets results, and reports findings

While both roles involve biological data, Bioinformatic Engineers focus on developing computational tools and pipelines, whereas Bioinformatics Analysts primarily interpret data and generate insights. Both positions require similar educational backgrounds and are vital in research and healthcare settings, but their core responsibilities differ in development versus analysis.

What are common challenges faced by bioinformatic engineers when working with large-scale genomic data?

Bioinformatic Engineers often encounter challenges related to managing and processing vast amounts of genomic data, which can require significant computational resources and efficient data handling strategies. Ensuring data integrity, reproducibility of analyses, and effective collaboration with multidisciplinary teams of biologists, statisticians, and software developers are also key aspects of the role. Staying updated with the latest bioinformatics tools and pipelines is essential, as the field evolves rapidly. Overcoming these challenges requires strong problem-solving skills, attention to detail, and the ability to communicate complex findings to non-technical stakeholders.

What skills and qualifications are needed to thrive as a bioinformatic engineer?

To thrive as a Bioinformatic Engineer, you need a strong background in computational biology, programming (such as Python or R), statistics, and a relevant degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools (like BLAST, GATK, or Bioconductor), data analysis platforms, and experience with databases such as SQL are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and collaborate with multidisciplinary teams. These skills are essential for accurately analyzing biological data, deriving meaningful insights, and facilitating research or clinical advancements.

What is a bioinformatic engineer?

Bioinformatic Engineers are professionals who develop and apply computational tools and techniques to analyze biological data, such as DNA sequences, protein structures, and genetic information. They combine expertise in computer science, biology, and mathematics to process large datasets generated by modern biological experiments. Their work supports research in areas like genomics, drug discovery, and personalized medicine by helping scientists make sense of complex biological data.

What are popular job titles related to Bioinformatic Engineer jobs in Illinois?

For Bioinformatic Engineer jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Bioinformatic Engineer jobs in Illinois look for?

The top searched job categories for Bioinformatic Engineer jobs in Illinois are:

What cities in Illinois are hiring for Bioinformatic Engineer jobs?

Cities in Illinois with the most Bioinformatic Engineer job openings:

Bioinformatic Engineer jobs near you
Infographic showing various Bioinformatic Engineer job openings in Illinois as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $86,421 per year, or $41.5 per hour.

Senior Bioinformatics Engineer

BiomeSense

Chicago, IL • On-site

$125K - $200K/yr

Full-time

Re-posted 26 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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