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Bioinformatics Programmer 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 ...

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 ...

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 · 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 ...

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 ...

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.

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 ...

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.

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Bioinformatics Programmer information

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$71.5K

$144.8K

$257.5K

How much do bioinformatics programmer jobs pay per year?

As of May 28, 2026, the average yearly pay for bioinformatics programmer in Chicago, IL is $144,786.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,800.00 and $177,400.00 per year, depending on experience, location, and employer.

What is a Bioinformatics Programmer job?

A Bioinformatics Programmer is a professional who develops and maintains software tools to analyze biological data, such as DNA sequences, protein structures, and genomic variations. They work at the intersection of computer science and biology, using programming languages like Python, R, and Java to process and visualize complex biological datasets. Their role is crucial in fields like genomics, drug discovery, and biomedical research, where they help automate data analysis and support scientific investigations.

What are the key skills and qualifications needed to thrive in the Bioinformatics Programmer position, and why are they important?

To thrive as a Bioinformatics Programmer, you need strong programming skills (often in Python, R, or Java), a solid background in biology or life sciences, and experience working with large-scale biological data. Commonly used tools and systems include bioinformatics software like BLAST, Bioconductor, cloud computing platforms, and version control systems such as Git, and certifications in relevant domains can be advantageous. Critical thinking, problem-solving, and effective communication are essential soft skills for integrating research findings and collaborating with interdisciplinary teams. These skills ensure you can develop robust, accurate computational solutions that drive advances in biological research and healthcare applications.

What does a typical day look like for a Bioinformatics Programmer?

A typical day for a Bioinformatics Programmer involves writing and optimizing code to analyze large datasets, commonly derived from genomics, proteomics, or clinical studies. You'll spend time collaborating with biologists, statisticians, and other programmers to design experiments, validate results, and interpret findings. Most roles also include maintaining data pipelines, troubleshooting software issues, and staying updated with the latest bioinformatics tools and research. The work environment often blends independent coding with regular team meetings and project updates, offering both technical and interdisciplinary challenges. This dynamic workflow makes the role both intellectually stimulating and impactful in advancing scientific discoveries.
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What are the most commonly searched types of Bioinformatics Programmer jobs in Chicago, IL? The most popular types of Bioinformatics Programmer jobs in Chicago, IL are:
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Bioinformatics Programmer jobs near you
Infographic showing various Bioinformatics Programmer job openings in Chicago, IL as of May 2026, with employment types broken down into 79% Full Time, 6% Part Time, 1% Temporary, 13% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $144,786 per year, or $69.6 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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