1

Temporary Bioinformatics Software Engineer Jobs in Chicago, IL

Senior Bioinformatics Engineer Compensation: $125K - $200K base + 0.25% - 0.5% equity stock options ... Position Help build our MetaBiome platform, a software solution for collecting, curating ...

Senior Software Engineer II, Data Products

Chicago, IL · On-site

$126K - $166K/yr

The Role As a Senior Software Engineer II on the Data Products team, you will act as a technical ... bioinformatics scientists, ML and Agent developers to rapidly develop, deploy, and operate their ...

We are seeking a highly motivated and capable Bioinformatics Scientist to join our Liquid Biopsy ... software engineers, and product managers to translate cutting-edge research into clinically ...

The Role As a Senior Software Engineer on the OS Ecosystem team, you will act as a core technical ... You will play a pivotal role in designing and developing systems that allow bioinformatics ...

next page

Showing results 1-20

Temporary Bioinformatics Software Engineer information

See Chicago, IL salary details

$44.3K

$135K

$245.7K

How much do temporary bioinformatics software engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for temporary bioinformatics software engineer in Chicago, IL is $135,004.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,900.00 and $161,700.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Bioinformatics Software Engineer vs Bioinformatics Data Analyst?

AspectTemporary Bioinformatics Software EngineerBioinformatics Data Analyst
CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fieldBachelor's or Master's in Bioinformatics, Biology, or related field
Work EnvironmentProject-based, software development teams, research labsData interpretation, reporting, research teams
Industry UsageBiotech, pharma, research institutionsHealthcare, research, biotech

Temporary Bioinformatics Software Engineers focus on developing and maintaining bioinformatics tools and pipelines, often working in software development environments. Bioinformatics Data Analysts primarily interpret and analyze biological data, providing insights for research or clinical decisions. While both roles require bioinformatics knowledge, their core responsibilities and work settings differ.

What types of projects and collaborations can a temporary bioinformatics software engineer expect to be involved in?

As a Temporary Bioinformatics Software Engineer, you will typically work on short-term projects such as developing or maintaining data analysis pipelines, optimizing algorithms for genomic data processing, or integrating software tools with laboratory information management systems. Collaboration is frequent with research scientists, data analysts, and other engineers, often through agile project teams or cross-functional meetings. The fast-paced nature of temporary roles means you’ll need to quickly adapt to new codebases, contribute to ongoing research, and communicate technical findings effectively. This can be a great opportunity to build specialized skills, expand your professional network, and gain exposure to the latest advancements in bioinformatics.

What are the key skills and qualifications needed to thrive as a temporary bioinformatics software engineer, and why are they important?

To thrive as a Temporary Bioinformatics Software Engineer, you need a solid background in computer science, biology, and programming languages such as Python, R, or Java, often with a degree in bioinformatics or a related field. Familiarity with bioinformatics tools, databases (e.g., BLAST, Ensembl), and experience using version control systems like Git are typically required. Strong analytical thinking, adaptability, and effective communication are crucial for collaborating with multidisciplinary teams and handling changing project needs. These skills enable efficient development and maintenance of software solutions that support complex biological data analysis in a fast-paced, project-driven environment.

What does a temporary bioinformatics software engineer do?

A Temporary Bioinformatics Software Engineer develops and maintains software tools and applications used in biological and genomic research, typically for a specific short-term project or to cover a staffing gap. They collaborate with scientists to analyze data, automate workflows, and ensure the accuracy of computational methods. Their work often involves writing code, managing databases, and troubleshooting technical issues related to the processing of biological data. Temporary roles usually focus on delivering specific features or supporting research within a defined timeframe.
What are the most commonly searched types of Bioinformatics Software Engineer jobs in Chicago, IL? The most popular types of Bioinformatics Software Engineer jobs in Chicago, IL are:

Senior Bioinformatics Engineer

BiomeSense

Chicago, IL • On-site

$125K - $200K/yr

Full-time

Re-posted 18 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

Powered by JazzHR

dFkcM6C0LV