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Bioinformatics Scientist 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 BiomeSense BiomeSense is a pioneering life sciences startup focused on harnessing the power of the gut ...

Evozyne

Talent Community | Data Scientist

Chicago, IL · On-site

Undergraduate and/or graduate level education focused on data science, computational biology, bioinformatics, computer science, machine learning, AI, or a similar field * Hands on experience ...

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 ...

The University of Chicago

Staff Scientist

Chicago, IL · On-site

... bioinformatics resources when appropriate. * Develops, optimizes, and maintains experimental ... Provides technical training and scientific guidance to research technicians, students, and ...

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.

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How much do bioinformatics scientist jobs pay per hour?

As of May 28, 2026, the average hourly pay for bioinformatics scientist in Chicago, IL is $56.44, according to ZipRecruiter salary data. Most workers in this role earn between $46.30 and $64.38 per hour, depending on experience, location, and employer.

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

To thrive as a Bioinformatics Scientist, you need a strong background in biology, statistics, and computer science, typically supported by an advanced degree in bioinformatics or a related field. Proficiency with programming languages (such as Python, R, or Perl), bioinformatics databases, and data analysis platforms like BLAST or Galaxy is essential. Critical thinking, problem-solving, and clear communication are vital soft skills for interpreting complex data and collaborating with multidisciplinary teams. These skills and qualities are crucial for extracting meaningful insights from large biological datasets and advancing scientific research.

How do Bioinformatics Scientists typically collaborate with biologists and other researchers on multidisciplinary projects?

Bioinformatics Scientists often work closely with biologists, chemists, and data analysts to interpret complex biological data. Collaboration usually involves translating biological questions into computational problems, developing or applying algorithms, and communicating findings in a way that is accessible to non-technical team members. Effective teamwork requires strong communication skills and the ability to bridge the gap between experimental data and computational analysis, ensuring that research goals are aligned across disciplines.

What is a Bioinformatics Scientist?

A Bioinformatics Scientist is a professional who uses computational tools and techniques to analyze and interpret biological data, such as DNA, RNA, and protein sequences. They combine expertise in biology, computer science, mathematics, and statistics to solve complex problems in genomics, drug discovery, and other life sciences fields. Bioinformatics Scientists often work with large datasets, develop algorithms, and create databases to help researchers understand biological processes and make scientific discoveries.

What is the difference between Bioinformatics Scientist vs Bioinformatics Analyst?

AspectBioinformatics ScientistBioinformatics Analyst
Required CredentialsTypically requires a Master's or Ph.D. in Bioinformatics, Computational Biology, or related fieldsUsually holds a Bachelor's or Master's degree in Bioinformatics, Biology, or related areas
Work EnvironmentResearch labs, biotech companies, academic institutions, often involved in developing new algorithms and toolsData analysis in clinical or research settings, interpreting existing data sets
Employer & Industry UsageUsed in biotech, pharma, academia for research and developmentCommon in healthcare, clinical research, and biotech for data interpretation

In summary, Bioinformatics Scientists typically hold advanced degrees and focus on developing new computational methods, while Bioinformatics Analysts often have a more applied role, interpreting data to support research or clinical decisions.

What are the most commonly searched types of Bioinformatics Scientist jobs in Chicago, IL? The most popular types of Bioinformatics Scientist jobs in Chicago, IL are:
What are popular job titles related to Bioinformatics Scientist jobs in Chicago, IL? For Bioinformatics Scientist jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Scientist jobs in Chicago, IL look for? The top searched job categories for Bioinformatics Scientist jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Bioinformatics Scientist jobs? Cities near Chicago, IL with the most Bioinformatics Scientist job openings:
Bioinformatics Scientist jobs near you
Infographic showing various Bioinformatics Scientist job openings in Chicago, IL as of May 2026, with employment types broken down into 4% As Needed, 78% Full Time, 14% Part Time, and 4% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $117,401 per year, or $56.4 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.

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