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Bioinformatics Research Jobs in Chicago, IL (NOW HIRING)

Samprasoft

Data Analyst

Great Lakes, IL · On-site

Data Analyst As a Data Analyst in our client's Genomics Research Center's Bioinformatics Engineering team, you will be responsible for developing and running workflows to standardize and load project ...

BiomeSense

Senior Bioinformatics Engineer

Chicago, IL · On-site

$125K - $200K/yr

We partner with leading institutions and researchers including UCSF, UCSD, NIH, and the University ... Bioinformatics Architecture & Infrastructure - help design, implement, and maintain the robust ...

Saransh Inc

Lead Quality Engineer

Mettawa, IL · On-site

Domain Application · Apply knowledge of Bioinformatics, R&D, Preclinical, and Clinical domains to improve testing outcomes. Client Interaction · Act as the main point of contact for assigned client ...

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

The University of Chicago

Research Technologist

Chicago, IL · On-site

$19.23 - $26.44/hr

We provide broad training in experimental genetics and genomics, statistical and population genetics, bioinformatics, and clinical genetics. A common theme throughout our research is the application ...

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How much do bioinformatics research jobs pay per year?

As of May 28, 2026, the average yearly pay for bioinformatics research in Chicago, IL is $97,322.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,500.00 and $133,400.00 per year, depending on experience, location, and employer.

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

To thrive as a Bioinformatics Researcher, you need a strong background in computational biology, statistics, and molecular biology, often supported by an advanced degree in bioinformatics or a related field. Proficiency with programming languages (such as Python, R), bioinformatics tools (like BLAST, genome assembly software), and data analysis platforms is crucial. Strong analytical thinking, problem-solving, and effective communication skills help you collaborate across interdisciplinary teams and interpret complex data. These skills and qualities are essential for generating meaningful biological insights from large datasets and advancing scientific research.

What are the most common collaborative projects for professionals in bioinformatics research?

Bioinformatics researchers frequently collaborate on interdisciplinary projects that involve both computational scientists and experimental biologists. Common collaborations include analyzing genomic data for disease research, developing algorithms for large-scale data interpretation, and creating bioinformatics tools for laboratory use. These projects often require regular communication with wet-lab researchers to ensure that computational findings align with experimental needs, as well as working closely with statisticians and software developers. Effective teamwork and the ability to bridge the gap between biology and data science are crucial for success in this field.

What is bioinformatics research?

Bioinformatics research is a multidisciplinary field that combines biology, computer science, mathematics, and statistics to analyze and interpret biological data. Researchers in this area develop and use computational tools and techniques to understand complex biological processes, such as gene sequencing, protein structure prediction, and genome analysis. The goal is to extract meaningful insights from large datasets, which can lead to advances in medicine, agriculture, and environmental science. Bioinformatics research plays a crucial role in understanding diseases, developing new treatments, and personalizing healthcare.
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Bioinformatics Research jobs near you
Data Analyst

Data Analyst

Samprasoft

Great Lakes, IL • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Data Analyst

As a Data Analyst in our client’s Genomics Research Center’s Bioinformatics Engineering team, you will be responsible for developing and running workflows to standardize and load project datasets in a centralized environment. 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 for loading and querying. Your expertise in PostgreSQL for database management and Python and R for scripting and automation will be crucial in developing and maintaining ETL processes to ensure data quality and integrity.

Responsibilities
  • Develop and maintain a functional understanding of the GRC common data models, loading processes, and requirements, and perform accurate and efficient loading of new and historical datasets into the GRC’s Omics Data Server.
  • Collaborate with Bioinformatics Engineers to develop and implement additional data loading workflows.
  • Partner with Bioinformatics research scientists to identify, process, and load project data into the common data models.
  • Build and execute ETL processes to integrate non-GRC generated high-value datasets into the common data models.
  • Keep thorough documentation for tracking datasets and loading tasks.
  • Ensure reproducibility and facilitate collaboration with team members by documenting and versioning code with git.
Qualifications
  • Bachelor's degree in computer science, bioinformatics, or a related field +3 years of experience.
  • Experience with building and running workflows for RDMS data loading and ETL processes.
  • Proficient in PostgreSQL (or equivalent) and ability to write complex queries for data extraction and analysis.
  • Strong programming skills in Python for scripting and automation. Additional experience with R is preferred.
  • Familiarity with genomic data formats and databases commonly used in bioinformatics research.
  • Knowledge of data modeling concepts and implementing common data models in a relational database.
  • Familiarity with data cleaning, normalization, and quality control processes.
  • Excellent communication skills and ability to collaborate with researchers and stakeholders.

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