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Computer Science Startup Jobs in Chicago, IL (NOW HIRING)

BiomeSense

Senior Bioinformatics Engineer

Chicago, IL · On-site

$125K - $200K/yr

... sciences startup applying gut microbiome (GMB) technologies (GutLab, MetaBiome) to advance ... Familiarity with AWS & best practices in computer security * Proficiency with modern frontend web ...

BiomeSense

Head of Engineering

Chicago, IL · On-site

$150K - $200K/yr

... life sciences startup applying gut microbiome technologies (GutLab, MetaBiome) to advance ... Own GutLab architecture (electromechanical & fluidic); lead design, testing & refinement via CAD, ...

Grubhub

Senior Staff Data Scientist

Chicago, IL

... startup. As a leading U.S. ordering and delivery marketplace, we feature over 415,000 merchants in ... Computer Science, Data Science, Machine Learning, or a related quantitative field. * Proven ...

blueStone

Ruby Developer

Chicago, IL

Company Description Our client is an enterprise startup that is disrupting the outdated auto ... Computer Science or equivalent years of experience 4+ years of working software development ...

Miller Cooper

QA Automation Engineer

Chicago, IL · On-site

$85K - $95K/yr

QA Automation Engineer (Playwright) Are you ready to join a cutting-edge healthcare startup ... Bachelor's degree in computer science, information technology, or related field * 3+ years QA ...

Miller Cooper

QA Automation Engineer

Chicago, IL · Remote

$85K - $95K/yr

QA Automation Engineer (Playwright) Are you ready to join a cutting-edge healthcare startup ... Bachelor's degree in computer science, information technology, or related field * 3+ years QA ...

Miller Cooper

QA Automation Engineer

Chicago, IL · Remote

$85K - $95K/yr

QA Automation Engineer (Playwright) Are you ready to join a cutting-edge healthcare startup ... Bachelor's degree in computer science, information technology, or related field * 3+ years QA ...

blueStone

Systems Engineer

Chicago, IL

Proven success in high-growth startup environments * Bachelor's degree or higher in Computer Science Additional Information Work with blueStone recruiting to find your next career. You can find us at ...

blueStone

DevOps Engineer

Chicago, IL

$54.25 - $74.50/hr

Proven success in high-growth startup environments * Bachelor's degree or higher in Computer Science Additional Information Work with blueStone recruiting to find your next career. You can find us at ...

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Computer Science Startup information

See Chicago, IL salary details

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How much do computer science startup jobs pay per year?

As of Aug 6, 2026, the average yearly pay for computer science startup in Chicago, IL is $105,589.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,700.00 and $118,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in a computer science startup, and why are they important?

To succeed in founding or leading a computer science startup, you need a solid background in computer science or software engineering, an entrepreneurial mindset, and experience in product development. Familiarity with programming languages, cloud platforms, and agile development tools, as well as knowledge of industry certifications like AWS Certified Developer or ScrumMaster, can be highly beneficial. Strong skills in communication, problem-solving, adaptability, and leadership are crucial to navigate uncertainties and drive team collaboration. These skills and qualities are vital to innovate effectively, secure investment, and build scalable tech solutions in a highly competitive market.

What is a computer science startup?

A Computer Science Startup job typically involves working in a newly founded tech company, focusing on developing innovative software, algorithms, or systems. Employees in these roles often wear multiple hats, including coding, product development, and problem-solving. Startups require adaptability, creativity, and a willingness to work in a fast-paced, evolving environment. Unlike established companies, startups may offer more autonomy and opportunities for rapid career growth but can also come with higher uncertainty.

What are the typical challenges faced in a computer science startup and how can I prepare for them?

Working in a computer science startup often involves managing rapid changes in technology, tight deadlines, and the pressure to deliver innovative solutions with limited resources. Team members frequently wear multiple hats, balancing development, testing, and sometimes even customer support or business planning. To prepare, it’s helpful to stay up-to-date with industry trends, cultivate flexibility in your work style, and strengthen your project management skills. Building a strong network and seeking mentorship within the startup and tech communities can also provide practical support and guidance. Embracing a proactive, problem-solving approach will help you navigate and thrive in this dynamic environment.

What are the most commonly searched types of Computer Science Startup jobs in Chicago, IL? The most popular types of Computer Science Startup jobs in Chicago, IL are:
What are popular job titles related to Computer Science Startup jobs in Chicago, IL? For Computer Science Startup jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Computer Science Startup jobs in Chicago, IL look for? The top searched job categories for Computer Science Startup jobs in Chicago, IL are:
Computer Science Startup jobs near you
Infographic showing various Computer Science Startup job openings in Chicago, IL as of August 2026, with employment types broken down into 10% Internship, and 90% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $105,589 per year, or $50.8 per hour.

Senior Bioinformatics Engineer

BiomeSense

Chicago, IL • On-site

$125K - $200K/yr

Full-time

Re-posted 16 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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