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Bioinformatics Engineer Jobs in Chicago, IL (NOW HIRING)

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 ...

Senior Software Engineer II, Data Products

Chicago, IL · On-site

$126K - $166K/yr

You will play a pivotal role in architecting and driving technical strategy for services and APIs that allow bioinformatics scientists, ML and Agent developers to rapidly develop, deploy, and operate ...

Senior Software Engineer II, Data Products

Chicago, IL · On-site

$126K - $166K/yr

You will play a pivotal role in architecting and driving technical strategy for services and APIs that allow bioinformatics scientists, ML and Agent developers to rapidly develop, deploy, and operate ...

Computational Biologist

Chicago, IL · On-site

$130K - $163K/yr

PhD in bioinformatics, computer science, statistics, computational biology, biomedical engineering or a related quantitative discipline. * Minimum 2 years of experience in developing bioinformatic ...

Domain Application · Apply knowledge of Bioinformatics, R&D, Preclinical, and Clinical domains to ... Delivery & Operations · Coordinate with internal delivery, engineering, and support teams. · ...

Technology Engineers will be aligned to a specific area: Information, Software, Data, or ... Background in chemistry, biology, bioinformatics, pharmaceutical sciences, or another life sciences ...

Technology Engineers will be aligned to a specific area: Information, Software, Data, or ... Background in chemistry, biology, bioinformatics, pharmaceutical sciences, or another life sciences ...

Technology Engineers will be aligned to a specific area: Information, Software, Data, or ... Background in chemistry, biology, bioinformatics, pharmaceutical sciences, or another life sciences ...

Computational Biologist

Chicago, IL · On-site

$130K - $163K/yr

PhD in bioinformatics, computer science, statistics, computational biology, biomedical engineering or a related quantitative discipline. * Minimum 2 years of experience in developing bioinformatic ...

Technology Engineers will be aligned to a specific area: Information, Software, Data, or ... Background in chemistry, biology, bioinformatics, pharmaceutical sciences, or another life sciences ...

Technology Engineers will be aligned to a specific area: Information, Software, Data, or ... Background in chemistry, biology, bioinformatics, pharmaceutical sciences, or another life sciences ...

You will play a pivotal role in designing and developing systems that allow bioinformatics scientists, ML and Agent developers to rapidly develop, deploy, and operate their solutions in a highly ...

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Bioinformatics Engineer information

See Chicago, IL salary details

$44.3K

$135K

$245.7K

How much do bioinformatics engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for bioinformatics engineer in Chicago, IL is $135,004.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,900.00 and $161,700.00 per year, depending on experience, location, and employer.

What is a Bioinformatics Engineer?

A Bioinformatics Engineer is a professional who combines expertise in computer science, statistics, and biology to develop software tools and algorithms for analyzing biological data. They often work with large datasets such as genomic sequences, protein structures, and clinical information to help scientists make sense of complex biological systems. Their work is essential in fields like genomics, personalized medicine, and drug discovery, where managing and interpreting vast amounts of data is crucial. Bioinformatics Engineers may also collaborate with researchers to design experiments and interpret results, bridging the gap between biology and technology.

What are the key skills and qualifications needed to thrive as a Bioinformatics Engineer, and why are they important?

To thrive as a Bioinformatics Engineer, you need a strong background in biology, computer science, and statistics, often supported by a degree in bioinformatics or a related field. Experience with programming languages such as Python or R, familiarity with databases, and knowledge of tools like BLAST, Bioconductor, or next-generation sequencing (NGS) analysis platforms are typically required. Strong problem-solving, analytical thinking, and effective communication skills help you collaborate with interdisciplinary teams and convey complex findings. These skills and qualifications are essential for efficiently analyzing biological data, developing robust computational tools, and advancing research in genomics and life sciences.

What Is Bioinformatics Engineering?

A bioinformatics engineer uses various methods for the analysis of complex biological data such as gene sequence and protein absorption. In this career, your job duties include performing detailed data analysis, developing data queries, and presenting your results back to the research team. The qualifications needed for a career as a bioinformatics engineer include a bachelor’s degree in engineering, statistics, computer science, or mathematics. Some employers prefer a master’s degree as well. You also need strong analytical skills and a good understanding of the biosciences.

What are some common challenges faced by Bioinformatics Engineers when integrating new data sources into existing pipelines?

Bioinformatics Engineers often encounter challenges such as data format inconsistencies, varying quality of datasets, and the need to ensure compatibility with existing analysis pipelines. Integrating new data sources may require custom scripts or tools for parsing and preprocessing, as well as thorough validation to maintain reproducibility and reliability of results. Collaboration with wet-lab scientists and software engineers is essential to clarify data requirements and streamline the integration process.

What is the difference between Bioinformatics Engineer vs Bioinformatics Analyst?

AspectBioinformatics EngineerBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skillsBachelor's or Master's in Bioinformatics, Biology, or related fields; data analysis skills
Work EnvironmentResearch labs, biotech companies, pharmaceutical firmsResearch institutions, healthcare organizations, biotech companies
Employer & Industry UsageDevelops tools, pipelines, and software for biological data analysisInterprets data, performs statistical analysis, and reports findings

While both roles require a background in bioinformatics and involve working with biological data, Bioinformatics Engineers focus on developing software and tools, whereas Bioinformatics Analysts primarily analyze and interpret data to support research and decision-making.

What are the most commonly searched types of Bioinformatics Engineer jobs in Chicago, IL? The most popular types of Bioinformatics Engineer jobs in Chicago, IL are:
Infographic showing various Bioinformatics Engineer job openings in Chicago, IL as of June 2026, with employment types broken down into 1% As Needed, 12% Full Time, 28% Part Time, 5% Temporary, 51% Contract, and 3% Nights. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $135,004 per year, or $64.9 per hour.
Senior Bioinformatics Engineer

Senior Bioinformatics Engineer

BiomeSense

Chicago, IL • On-site

$125K - $200K/yr

Full-time

Posted 5 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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