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Bioinformatics Data Analyst Jobs in Park Ridge, IL

BiomeSense

Senior Bioinformatics Engineer

Chicago, IL · On-site

The Senior Bioinformatics Engineer will help build the MetaBiome platform, contributing to ... data analysis. Responsibilities : • help design, implement, and maintain the robust, auditable ...

BiomeSense

Senior Bioinformatics Engineer

Chicago, IL · On-site

$125K - $200K/yr

Own the infra, pipelines & analytical workflows that turn raw sequencing data into intelligence, with room to grow into a platform leader. Responsibilities: * Bioinformatics Architecture ...

Tempus

Sr. Data Operations Analyst

Chicago, IL · On-site

$88K - $111K/yr

Bachelor's degree in an analytical, computational, or healthcare-related field (e.g., Data Science, Bioinformatics, Computer Science, Biomedical Engineering, Public Health) * 4-6 years of relevant ...

Tempus

Data Scientist II, Outcomes Research

Chicago, IL · On-site

$100K - $150K/yr

Build analytical infrastructure, including reusable code, templates, and workflows that improve ... Advanced degree (Master's with 2+ years experience or equivalent) in data science, bioinformatics ...

Tempus

Data Scientist II, Outcomes Research

Chicago, IL · On-site +1

$100K - $150K/yr

Build analytical infrastructure, including reusable code, templates, and workflows that improve ... Advanced degree (Master's with 2+ years experience or equivalent) in data science, bioinformatics ...

Biohub

Computational Biologist

Chicago, IL

$130K - $163K/yr

Minimum 2 years of experience in developing bioinformatic methods, analysis pipelines, or software tools for biological data using appropriate programming language. * Minimum of 1 year of experience ...

Field Museum

Postdoctoral Research Scientist

Chicago, IL · On-site

$61K/yr

Applicants should have a strong background in bioinformatics, computational biology, evolutionary biology, or a related field. Experience with genomic data analysis, phylogenetics, and working in ...

Biohub

Computational Biologist

Chicago, IL · On-site

$130K - $163K/yr

Minimum 2 years of experience in developing bioinformatic methods, analysis pipelines, or software tools for biological data using appropriate programming language. * Minimum of 1 year of experience ...

Field Museum

Postdoctoral Research Scientist

Chicago, IL · On-site

$61K/yr

Applicants should have a strong background in bioinformatics, computational biology, evolutionary biology, or a related field. Experience with genomic data analysis, phylogenetics, and working in ...

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All JobsBioinformatics Data Analyst JobsBioinformatics Data Analyst Jobs in Park Ridge, IL

Bioinformatics Data Analyst information

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How much do bioinformatics data analyst jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for bioinformatics data analyst in Park Ridge, IL is $45.09, according to ZipRecruiter salary data. Most workers in this role earn between $35.48 and $48.27 per hour, depending on experience, location, and employer.

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

To thrive as a Bioinformatics Data Analyst, a solid background in biology, statistics, and programming (often with a degree in bioinformatics, computational biology, or a related field) is essential. Proficiency with tools such as R, Python, SQL, and bioinformatics software like BLAST or Bioconductor, as well as experience with large datasets and relevant certifications, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help analysts interpret complex data and collaborate with interdisciplinary teams. These skills ensure accurate data analysis, meaningful biological insights, and successful project outcomes in research or clinical settings.

What is the difference between Bioinformatics Data Analyst vs Bioinformatics Scientist?

AspectBioinformatics Data AnalystBioinformatics Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fieldsMaster's or PhD in Bioinformatics, Computational Biology, or related fields
Work EnvironmentData analysis teams, research labs, healthcare settingsResearch projects, development of algorithms, scientific publications
Employer & Industry UsageBiotech companies, healthcare institutions, research organizationsAcademic institutions, biotech firms, pharmaceutical companies
Common Search & ComparisonOften compared for data analysis roles in bioinformaticsMore research-focused, involved in algorithm development

Bioinformatics Data Analysts primarily focus on analyzing biological data using existing tools, while Bioinformatics Scientists develop new algorithms and conduct research. Both roles require strong computational skills, but the Scientist role typically involves more advanced research and innovation.

How do Bioinformatics Data Analysts typically collaborate with researchers and other team members in a multidisciplinary environment?

Bioinformatics Data Analysts often work closely with biologists, clinicians, and software engineers, acting as a bridge between experimental research and computational analysis. Collaboration usually involves interpreting experimental data, discussing analytical approaches, and presenting findings in a way that's accessible to non-technical stakeholders. Regular team meetings and project updates are common, and strong communication skills are essential for translating complex data insights into actionable information for the broader research team. This multidisciplinary teamwork fosters innovation and ensures that analyses align with the goals of larger research projects.

What are Bioinformatics Data Analysts?

Bioinformatics Data Analysts are professionals who use computational tools and methods to analyze biological data, such as genomic sequences or protein structures. They work at the intersection of biology, computer science, and statistics to interpret complex datasets and draw meaningful insights for research or clinical applications. Their work supports areas like drug discovery, personalized medicine, and evolutionary biology. Typically, they collaborate with biologists, software engineers, and statisticians to solve complex biological problems. Strong analytical skills and proficiency with data analysis software are essential for this role.
What are popular job titles related to Bioinformatics Data Analyst jobs in Park Ridge, IL? For Bioinformatics Data Analyst jobs in Park Ridge, IL, the most frequently searched job titles are:
What cities near Park Ridge, IL are hiring for Bioinformatics Data Analyst jobs? Cities near Park Ridge, IL with the most Bioinformatics Data Analyst job openings:
Bioinformatics Data Analyst jobs near you
Infographic showing various Bioinformatics Data Analyst job openings in Park Ridge, IL as of July 2026, with employment types broken down into 1% Internship, 84% Full Time, 8% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $93,784 per year, or $45.1 per hour.
Senior Bioinformatics Engineer

Senior Bioinformatics Engineer

BiomeSense

Chicago, IL • On-site

Full-time

Re-posted 28 days ago

Job description

Job Summary:
BiomeSense is a pioneering life sciences startup focused on harnessing the power of the gut microbiome to revolutionize personalized medicine. The Senior Bioinformatics Engineer will help build the MetaBiome platform, contributing to bioinformatics, data engineering, and product development while designing and maintaining robust infrastructure for microbiome data analysis.
Responsibilities:
• 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.
• 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.
• lead the design, execution, and documentation of reproducible computational experiments from concept to conclusion, including experimental design, data preparation, model selection, and evaluation strategies.
• Develop and implement novel analytical methodologies and algorithms informed by experimental findings and validated through rigorous evaluation.
• 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.
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.
Company:
BiomeSense is a developing novel technologies to enable continuous, at-home monitoring of the human microbiome. Founded in 2018, the company is headquartered in Chicago, USA, with a team of 2-10 employees. The company is currently Early Stage.

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