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Bioinformatics Job Jobs in Niles, 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 ...

Biohub

Computational Biologist

Chicago, IL

$130K - $163K/yr

We are looking for a creative and collaborative bioinformatics researcher who is excited to build the analytical foundation for our spatiotemporal multi-omics technology platform. What You'll Do

Biohub

Computational Biologist

Chicago, IL · On-site

$130K - $163K/yr

We are looking for a creative and collaborative bioinformatics researcher who is excited to build the analytical foundation for our spatiotemporal multi-omics technology platform. What You'll Do

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How much do bioinformatics job jobs pay per year?

As of May 28, 2026, the average yearly pay for bioinformatics job in Niles, IL is $94,032.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,200.00 and $128,900.00 per year, depending on experience, location, and employer.

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

To thrive in a Bioinformatics job, you need a strong background in biology, statistics, and computer science, often supported by a degree in bioinformatics or a related field. Familiarity with programming languages (such as Python, R, or Perl), bioinformatics databases, and tools like BLAST or Next-Generation Sequencing platforms is essential. Strong analytical thinking, attention to detail, and effective communication skills set outstanding professionals apart in this role. These skills are crucial for accurately interpreting complex data, collaborating with interdisciplinary teams, and advancing research outcomes.

What are some common challenges faced by professionals in bioinformatics roles, and how can they be addressed?

Bioinformatics professionals often encounter challenges such as managing large and complex datasets, keeping up with rapidly evolving technologies, and collaborating effectively with interdisciplinary teams. To address these challenges, it's important to develop strong data management and analytical skills, stay updated through continuous learning, and communicate clearly with both biologists and computer scientists. Leveraging version control tools, computational resources, and participating in collaborative projects can also help streamline workflows and enhance productivity.

What are bioinformatics jobs?

Bioinformatics jobs involve the application of computer science, mathematics, and biology to analyze and interpret complex biological data, such as genetic sequences. Professionals in this field develop algorithms, create databases, and use statistical tools to solve problems in genomics, drug discovery, and other life sciences. These roles are typically found in research institutions, biotechnology companies, pharmaceutical firms, and academic settings. The field is growing rapidly due to advances in technology and the increasing importance of big data in biology.
What cities near Niles, IL are hiring for Bioinformatics Job jobs? Cities near Niles, IL with the most Bioinformatics Job job openings:
Bioinformatics Job jobs near you
Infographic showing various Bioinformatics Job job openings in Niles, IL as of May 2026, with employment types broken down into 1% As Needed, 71% Full Time, 22% Part Time, 1% Temporary, and 5% Contract. Highlights an 100% Physical job distribution, with an average salary of $94,032 per year, or $45.2 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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