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Bioinformatics Engineer Jobs in Chicago, IL (NOW HIRING)

Senior Software Engineer II, Data Products

Chicago, IL · On-site

$126K - $166K/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 ...

Domain Application · Apply knowledge of Bioinformatics, R&D, Preclinical, and Clinical domains to ... Delivery & Operations · Coordinate with internal delivery, engineering, and support teams. · ...

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 ...

Technology Engineers will be aligned to a specific area: Information, Software, Data, or ... Background in chemistry, biology, bioinformatics, pharmaceutical sciences, or another life sciences ...

Technology Engineers will be aligned to a specific area: Information, Software, Data, or ... Background in chemistry, biology, bioinformatics, pharmaceutical sciences, or another life sciences ...

Technology Engineers will be aligned to a specific area: Information, Software, Data, or ... Background in chemistry, biology, bioinformatics, pharmaceutical sciences, or another life sciences ...

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 ...

You will play a pivotal role in designing and developing systems that allow bioinformatics scientists, ML and Agent developers to rapidly develop, deploy, and operate their solutions in a highly ...

You will play a pivotal role in designing and developing systems that allow bioinformatics scientists, ML and Agent developers to rapidly develop, deploy, and operate their solutions in a highly ...

You will play a pivotal role in designing and developing systems that allow bioinformatics scientists, ML and Agent developers to rapidly develop, deploy, and operate their solutions in a highly ...

Showing results 21-40

Bioinformatics Engineer information

See Chicago, IL salary details

$44.3K

$135.1K

$245.9K

How much do bioinformatics engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for bioinformatics engineer in Chicago, IL is $135,110.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,000.00 and $161,900.00 per year, depending on experience, location, and employer.

What is a bioinformatics engineer?

A Bioinformatics Engineer is a professional who combines expertise in computer science, statistics, and biology to develop software tools and algorithms for analyzing biological data. They often work with large datasets such as genomic sequences, protein structures, and clinical information to help scientists make sense of complex biological systems. Their work is essential in fields like genomics, personalized medicine, and drug discovery, where managing and interpreting vast amounts of data is crucial. Bioinformatics Engineers may also collaborate with researchers to design experiments and interpret results, bridging the gap between biology and technology.

What are the key skills and qualifications needed to thrive as a bioinformatics engineer?

To thrive as a Bioinformatics Engineer, you need a strong background in biology, computer science, and statistics, often supported by a degree in bioinformatics or a related field. Experience with programming languages such as Python or R, familiarity with databases, and knowledge of tools like BLAST, Bioconductor, or next-generation sequencing (NGS) analysis platforms are typically required. Strong problem-solving, analytical thinking, and effective communication skills help you collaborate with interdisciplinary teams and convey complex findings. These skills and qualifications are essential for efficiently analyzing biological data, developing robust computational tools, and advancing research in genomics and life sciences.

What are some common challenges faced by bioinformatics engineers when integrating new data sources into existing pipelines?

Bioinformatics Engineers often encounter challenges such as data format inconsistencies, varying quality of datasets, and the need to ensure compatibility with existing analysis pipelines. Integrating new data sources may require custom scripts or tools for parsing and preprocessing, as well as thorough validation to maintain reproducibility and reliability of results. Collaboration with wet-lab scientists and software engineers is essential to clarify data requirements and streamline the integration process.

What is the difference between Bioinformatics Engineer vs Bioinformatics Analyst?

AspectBioinformatics EngineerBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skillsBachelor's or Master's in Bioinformatics, Biology, or related fields; data analysis skills
Work EnvironmentResearch labs, biotech companies, pharmaceutical firmsResearch institutions, healthcare organizations, biotech companies
Employer & Industry UsageDevelops tools, pipelines, and software for biological data analysisInterprets data, performs statistical analysis, and reports findings

While both roles require a background in bioinformatics and involve working with biological data, Bioinformatics Engineers focus on developing software and tools, whereas Bioinformatics Analysts primarily analyze and interpret data to support research and decision-making.

What does a bioinformatics engineer do?

A bioinformatics engineer develops and applies computational tools and algorithms to analyze biological data, such as genetic sequences and molecular structures. They often work with programming languages like Python or R, utilize databases, and collaborate with biologists to interpret data for research or medical purposes.

What are the most commonly searched types of Bioinformatics Engineer jobs in Chicago, IL?

The most popular types of Bioinformatics Engineer jobs in Chicago, IL are:

What are popular job titles related to Bioinformatics Engineer jobs in Chicago, IL?

For Bioinformatics Engineer jobs in Chicago, IL, the most frequently searched job titles are:

Infographic showing various Bioinformatics Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 86% Physical, 6% Hybrid, and 8% Remote job distribution, with an average salary of $135,110 per year, or $65 per hour.

Software Engineer II, Data Solutions

Tempus, Inc.

Chicago, IL • On-site

$85 - $130/hr

Other

Re-posted 5 days ago


Job description

## Software Engineer II, Data SolutionsApplylocations: Chicagotime type: Full timeposted on: Posted Yesterdayjob requisition id: JR202600542**Passionate about precision medicine and advancing the healthcare industry?**Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.Job Description**The Role**As a Senior Software Engineer II on the Data Products team, you will act as a technical leader in building the foundational infrastructure that powers Tempus’ clinical, research, and AI capabilities. The Data Products team provides a platform that supports the full lifecycle of data — from the secure ingestion of data to the cataloging and analysis of that data, powering complex algorithms and models.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 their solutions in a highly regulated, secure, and scalable environment. You will focus on data storage and governance, containerized compute orchestration, and forging new connections with the latest GenAI technologies to ensure our platform remains a robust foundation for cutting-edge technologies that help patients live longer, healthier lives.# ## **Responsibilities**• Lead Technical Architecture: Drive the high-level design and architecture of distributed systems at scale, ensuring alignment with strategic goals for Tempus’s data management platform.• System Design & Implementation: Design, implement, and test complex production backend web services in TypeScript, serving as a standard-bearer for code quality and system reliability.• Data Pipelining: Build and maintain pipelines to load schema-defined data into the data warehouse using cloud storage and data warehousing technologies. Provision access to this data according to Tempus’s internal policies and regulatory obligations.• Stakeholder & Product Leadership: Use exemplary stakeholder management skills to work closely with Product Managers to translate complex business requirements into technical roadmaps, ensuring clear communication and alignment with business goals.• Operational Excellence: Take operational responsibility for platform systems in production, including on-call duties. You will not only troubleshoot complex technical issues but also proactively monitor systems to ensure reliability and performance optimization.• Mentorship & Best Practices: Mentor other engineers on your team, fostering a culture of continuous learning. Along with your Engineering Lead, you will be responsible for defining and promoting best practices for software engineering, including testing strategies, documentation, and code reviews.• Support & Enablement: Leverage your expertise to support cross-functional science, ML, and AI teams. You will act as a high-level escalation point to answer user questions and resolve development or production issues regarding data and compute workflows.# ## **Qualifications**• Experience: 8+ years of experience in software or data engineering, with a strong focus on platform engineering, distributed data systems, or backend web services.• Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent industry experience.• Language Proficiency: Demonstrated success in writing production backend services in JavaScript/TypeScript, Python, or other similar languages, with a willingness to work primarily in a Node.js and Python environment.• Advanced Cloud & Infrastructure Skills: ◦ Deep experience designing and running production systems on public cloud platforms (GCP preferred). ◦ Working knowledge of cloud object storage (GCS, S3), ETL services (Dataflow), and data warehousing (BigQuery).• Data & Database Expertise: Strong familiarity with distributed, relational database design (GCP Cloud Spanner) and data modeling (JSON Schema, Avro, or similar), including schema migrations and enforcing data contracts.• Technical Design: Proven track record of translating complex business requirements into scalable technical designs for distributed systems.## **Preferred Qualifications**• Cloud Ecosystem: Experience with GCP services including GKE, Cloud Spanner, BigQuery, and Dataflow is a plus.• DevOps Culture: Strong familiarity with CI/CD pipelines, immutable data patterns, and DevOps practices.• Domain Knowledge: Experience with data cataloging, data lineage, or platforms supporting ML/GenAI and/or bioinformatics workflows.### #LI-BL1CHI: $85,000-$130,000NYC/SF: $100,000-$145,000The expected salary range above is applicable if the role is performed from Illinois and may vary for other locations (California, Colorado, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #J-18808-Ljbffr