ZipRecruiter

Log In

1

Bioinformatics Engineering Jobs in Chicago, IL (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 About ... Data Engineering - contribute to the development and maintenance of cloud-based infrastructure ...

Samprasoft

Data Analyst

Great Lakes, IL · On-site

You will work closely with Bioinformatics Engineering, as well as therapeutic area facing bioinformatics research scientists to leverage common data models, and support GRC Bioinformaticians' needs ...

Loyola University

Data Scientist

Maywood, IL · On-site

Minimum Education and/or Work Experience Bachelor's degree in data science, statistics, bioinformatics, engineering, or related quantitative field. Programming and data analysis skills and experience.

Loyola University Chicago

Data Scientist

Chicago, IL · On-site

Minimum Education and/or Work Experience Bachelor's degree in data science, statistics, bioinformatics, engineering, or related quantitative field. Programming and data analysis skills and experience.

Loyola University

Data Scientist

Chicago, IL · On-site

Minimum Education and/or Work Experience Bachelor's degree in data science, statistics, bioinformatics, engineering, or related quantitative field. Programming and data analysis skills and experience.

Tempus

Senior Software Engineer II, Data Products

Chicago, IL · On-site

$126.20K - $166.40K/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 ...

Tempus

Senior Software Engineer II, Data Products

Chicago, IL · On-site

$126.30K - $166.50K/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 ...

Tempus

Senior Software Engineer II, Data Products

Chicago, IL

$126.20K - $166.40K/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 ...

Biohub

Computational Biologist

Chicago, IL

$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 ...

Biohub

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 ...

next page

Showing results 1-20

People also search for

All JobsBioinformatics Engineering JobsBioinformatics Engineering Jobs in Chicago, IL

Bioinformatics Engineering information

See Chicago, IL salary details

$44.3K

$135K

$245.7K

How much do bioinformatics engineering jobs pay per year?

As of May 28, 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 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.

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 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 is the salary of a bioinformatics engineer?

The average salary of a bioinformatics engineer typically ranges from $70,000 to $120,000 per year, depending on experience, education, and location. Professionals with advanced skills in programming, data analysis, and familiarity with tools like Python, R, and Linux tend to earn higher salaries.

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 are popular job titles related to Bioinformatics Engineering jobs in Chicago, IL? For Bioinformatics Engineering jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Engineering jobs in Chicago, IL look for? The top searched job categories for Bioinformatics Engineering jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Bioinformatics Engineering jobs? Cities near Chicago, IL with the most Bioinformatics Engineering job openings:
Bioinformatics Engineering jobs near you
Infographic showing various Bioinformatics Engineering job openings in Chicago, IL as of May 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 68% In-person, 6% Hybrid, and 26% 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
About BiomeSense
BiomeSense is a pioneering life sciences startup focused on harnessing the power of the gut microbiome to revolutionize personalized medicine. With our breakthrough technologies GutLab and MetaBiome, we are setting new standards in microbiome biomarker discovery, data analysis and interpretation, enabling unprecedented insights to understand & leverage the microbiome for human health. We partner with leading institutions and researchers including UCSF, UCSD, NIH, and the University of Chicago, and are backed by investors such as LabCorp Ventures, Bluestein Ventures, Seerave Foundation, and Emil Capital Partners.
The Position
You’ll help build our MetaBiome platform, a novel software solution for collection, curation and analysis of longitudinal microbiome & health data at scale. This role provides a unique opportunity to be one of the earliest employees at a rapidly growing start-up, contributing across bioinformatics, data engineering, and product development. We’re looking for someone who is excited to build - and someone who has the character and drive to grow into a platform leader over time. You’ll join near the ground floor of development, getting hands-on experience building the infrastructure, pipelines, and novel analytical workflows to turn raw microbiome data into actionable and high-integrity microbiome intelligence.  
Key Responsibilities:
  • Bioinformatics Architecture & Infrastructure - help design, implement, and maintain the robust, auditable backend required for the highest-quality extraction of clean microbiome data from raw shotgun metagenomic sequencing data.
  • Data Engineering – contribute to the development and maintenance of cloud-based infrastructure, including databases, distributed computing workflows, and REST endpoints, supporting a data platform that organizes microbial sequence data and associated clinical metadata.
  • Statistical Analysis – lead the design, execution, and documentation of reproducible computational experiments from concept to conclusion, including experimental design, data preparation, model selection, and evaluation strategies.
  • Methods Development – Develop and implement novel analytical methodologies and algorithms informed by experimental findings and validated through rigorous evaluation.
  • Frontend / Backend Development – design, implement, and maintain robust data ingestion interfaces leveraging external APIs and clinical ontologies such as SNOMED, MedDRA, and ICD-10, adhering to software engineering best practices including wireframe design, unit testing, version control, code review, and security and compliance. 

Qualifications
Required
  • B.S. /M.S. /PhD in Computational Biology, Bioinformatics, Computer Science or a related field with 3+ yrs industry experience (biotech start-up ideal)
  • Strong proficiency in Python and JavaScript, with experience building scalable, reusable, testable, and maintainable software.
  • Proficiency with PostgreSQL or other relational SQL database systems.
  • Familiarity with clinical ontologies such as SNOMED, ICD-11, ATC, and LOINC.
  • Familiarity with Amazon Web Services and best practices in computer security.
  • Proficiency with one or more modern frontend web technologies.
  • Excellent communication skills for presenting complex scientific concepts to diverse stakeholders.
  • Strong ownership mindset and the ability to execute in fast-moving environments.
  • Strong fundamentals in bioinformatics pipelines, QC, and reproducibility.

Strongly Preferred
  • Bioinformatician with experience working with NGS data and bioinformatics pipeline verification and knowledge of microbiome-specific challenges (compositional data, variability, confounders).
  • Familiarity with longitudinal / repeated-measures biological datasets.
  • Experience integrating external ontologies or standardized vocabularies.
  • Exposure to cloud infrastructure, workflow orchestration, or containerization.
  • Interest in AI/ML applications built on large biological datasets.

Powered by JazzHR

dFkcM6C0LV