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Bioinformatics Engineering Jobs in Chicago, IL (NOW HIRING)

Senior Bioinformatics Engineer Compensation: $125K - $200K base + 0.25% - 0.5% equity stock options ... Data Engineering - build & maintain cloud infra: databases, distributed computing workflows & REST ...

The Senior Bioinformatics Engineer will help build the MetaBiome platform, contributing to ... engineering, and product development while designing and maintaining robust infrastructure for ...

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 ...

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

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. · ...

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Bioinformatics Engineering information

See Chicago, IL salary details

$44.3K

$135K

$245.7K

How much do bioinformatics engineering jobs pay per year?

As of Jul 19, 2026, the average yearly pay for bioinformatics engineering 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 the difference between Bioinformatics Engineering vs Bioinformatics Analyst?

AspectBioinformatics EngineeringBioinformatics 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, healthcare institutionsResearch institutions, healthcare, pharmaceutical companies
Employer & Industry UsageDevelops tools, pipelines, and software for data analysisInterprets data, generates reports, supports research projects

Bioinformatics Engineering focuses on developing software and pipelines for data processing, requiring programming expertise. In contrast, Bioinformatics Analysts primarily interpret data and generate insights, often with a stronger emphasis on biological knowledge. Both roles are vital in biotech and healthcare industries, but they differ in technical scope and daily tasks.

What is a bioinformatics engineer?

A bioinformatics engineer is a professional who develops and applies computational tools and techniques to analyze and interpret biological data, such as DNA sequences or protein structures. They combine expertise in computer science, biology, and mathematics to create software, manage databases, and solve complex biological problems. Bioinformatics engineers often work in research, pharmaceuticals, healthcare, and biotechnology industries to help advance scientific discoveries and medical innovations.

What engineers make $500,000?

Senior bioinformatics engineers with extensive experience, advanced skills in programming, data analysis, and familiarity with tools like Python, R, and cloud platforms can reach salaries of $500,000 or more, especially in high-demand industries such as biotech and pharmaceuticals. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

Is there a demand for bioengineers?

Bioinformatics engineers are in high demand due to the growth of personalized medicine, genomics, and biotechnology industries. They often work with tools like sequencing technologies and programming languages such as Python or R, and strong analytical skills are essential for success in this field.

How do bioinformatics engineers typically collaborate with biologists and data scientists in a research setting?

Bioinformatics engineers frequently work in cross-disciplinary teams, partnering closely with biologists to understand experimental goals and with data scientists to analyze complex datasets. Effective communication is key, as engineers must translate biological questions into computational workflows and interpret results in a way that is meaningful to non-technical team members. This collaborative approach not only accelerates research but also helps engineers gain a deeper understanding of biological processes, which can lead to more innovative solutions and professional growth.

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 solid background in biology, computer science, and statistics, often supported by a degree in bioinformatics or a related field. Familiarity with programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, GATK), and proficiency with databases and cloud computing platforms are typically required. Strong problem-solving, analytical thinking, and collaboration skills set standout professionals apart in this interdisciplinary field. These competencies are crucial for effectively analyzing complex biological data and driving innovation in life sciences research.

What do bioinformatics engineers do?

Bioinformatics engineers develop and implement computational tools and algorithms to analyze biological data, such as genetic sequences and molecular structures. They often work with programming languages like Python or R, utilize databases, and collaborate with biologists to interpret data for research and medical applications.

What engineers make $300,000 a year?

Senior bioinformatics engineers with extensive experience, advanced skills in programming, data analysis, and familiarity with tools like Python, R, and cloud platforms can reach or exceed a $300,000 annual salary, especially in high-demand biotech or pharmaceutical industries. Such roles often require advanced degrees and leadership responsibilities, with compensation reflecting expertise and impact on research or product development.
What cities near Chicago, IL are hiring for Bioinformatics Engineering jobs? Cities near Chicago, IL with the most Bioinformatics Engineering job openings:
Infographic showing various Bioinformatics Engineering job openings in Chicago, IL as of July 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 100% In-person 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 27 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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