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From Home Bioinformatics Software Engineer Jobs in Naperville, IL

BiomeSense

Senior Bioinformatics Engineer

Chicago, IL · On-site

$125K - $200K/yr

The Position You'll help build our MetaBiome platform, a novel software solution for collection ... data from raw shotgun metagenomic sequencing data. * Data Engineering - contribute to the ...

Canonical

Software Engineer - OpenStack

Chicago, IL · On-site +1

We are hiring a Software Engineer for our OpenStack Engineering team. This is an exciting ... Work from home with global travel 2 to 4 weeks for internal and external events Who you are * You ...

Tempus

Senior Software Engineer II, Data Products

Chicago, IL · On-site

$126.20K - $166.40K/yr

The Data Products team provides a platform that supports the full lifecycle of data - from the ... bioinformatics scientists, ML and Agent developers to rapidly develop, deploy, and operate their ...

Tempus

Senior Software Engineer II, Data Products

Chicago, IL · On-site

$126.30K - $166.50K/yr

The Data Products team provides a platform that supports the full lifecycle of data - from the ... bioinformatics scientists, ML and Agent developers to rapidly develop, deploy, and operate their ...

1872 Consulting

Principal Software & Data Engineer

Chicago, IL · Hybrid

$139.20K - $186.60K/yr

Principal Data/Software Engineer & Architect Chicago or NYC based - work from home 3-4 days/week We're seeking a Principal Software Engineer & Architect that is well versed in cloud-based (ideally ...

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All JobsFrom Home Bioinformatics Software Engineer JobsFrom Home Bioinformatics Software Engineer Jobs in Naperville, IL

From Home Bioinformatics Software Engineer information

See Naperville, IL salary details

$42.9K

$130.9K

$238.1K

How much do from home bioinformatics software engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for from home bioinformatics software engineer in Naperville, IL is $130,858.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,900.00 and $156,800.00 per year, depending on experience, location, and employer.

What is the difference between From Home Bioinformatics Software Engineer vs From Home Data Scientist?

AspectFrom Home Bioinformatics Software EngineerFrom Home Data Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skills in Python, R, JavaBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in Python, R, SQL
Work EnvironmentRemote, often collaborating with research labs, biotech firms, or healthcare companiesRemote, working with tech companies, finance, or healthcare organizations
Industry UsagePrimarily in biotech, healthcare, and research institutionsAcross tech, finance, healthcare, and consulting sectors

Both roles often require strong programming skills and a background in data analysis. The main difference lies in their focus: Bioinformatics Software Engineers specialize in biological data and research applications, while Data Scientists work across various industries analyzing diverse data sets. Both roles are increasingly remote and collaborative, making them suitable for from-home work environments.

What are popular job titles related to From Home Bioinformatics Software Engineer jobs in Naperville, IL? For From Home Bioinformatics Software Engineer jobs in Naperville, IL, the most frequently searched job titles are:
What job categories do people searching From Home Bioinformatics Software Engineer jobs in Naperville, IL look for? The top searched job categories for From Home Bioinformatics Software Engineer jobs in Naperville, IL are:
What cities near Naperville, IL are hiring for From Home Bioinformatics Software Engineer jobs? Cities near Naperville, IL with the most From Home Bioinformatics Software Engineer job openings:
From Home Bioinformatics Software Engineer jobs near you
Infographic showing various From Home Bioinformatics Software Engineer job openings in Naperville, IL as of May 2026, with employment types broken down into 3% As Needed, 95% Full Time, and 2% Contract. Highlights an 39% Physical, 5% Hybrid, and 56% Remote job distribution, with an average salary of $130,858 per year, or $62.9 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.

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