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Biomedical Data Analyst Jobs in Chicago, IL (NOW HIRING)

Rush University Medical Center

Statistician 1

Chicago, IL · On-site

$32 - $46.44/hr

Required Job Qualifications: • Master's degree in Biostatistics, Statistics or closely related field. • 2 years of experience performing statistical analysis of biomedical or related data. • ...

Purohit Navigation

Strategic Analyst

Chicago, IL · On-site

$96K - $120K/yr

An advanced degree in biomedical sciences * 2+ years of experience in data analytics, clinical data analysis and/or primary/secondary research * Comfort working with multiple sources of data as well ...

Belay Diagnostics

Clinical Data Abstractor

Chicago, IL · On-site

$50K - $70K/yr

The Clinical Data Abstractor will work closely with Clinical Genomic Analysts/Scientists and ... Bachelor's degree in Biology, Genetics, Molecular Biology, Biomedical Sciences, Health Sciences ...

Belay Diagnostics

Clinical Data Abstractor

Chicago, IL · On-site

$50K - $70K/yr

The Clinical Data Abstractor will work closely with Clinical Genomic Analysts/Scientists and ... Bachelor's degree in Biology, Genetics, Molecular Biology, Biomedical Sciences, Health Sciences ...

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$35K

$85.1K

$140.1K

How much do biomedical data analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for biomedical data analyst in Chicago, IL is $85,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $99,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a biomedical data analyst?

To thrive as a Biomedical Data Analyst, you need a solid background in biological sciences, statistics, and data analysis, often supported by a bachelor's or master's degree in a relevant field. Expertise in programming languages like Python or R, experience with databases and statistical tools, and familiarity with healthcare data systems like EHRs are highly valuable, as are certifications such as SAS or data analytics credentials. Strong critical thinking, attention to detail, and effective communication skills enable you to interpret complex data and collaborate with multidisciplinary teams. These competencies allow you to accurately analyze biomedical data, generate actionable insights, and support evidence-based decision-making in healthcare and research environments.

What are the typical daily responsibilities of a biomedical data analyst?

As a Biomedical Data Analyst, your daily responsibilities often include gathering, cleaning, and analyzing large sets of biological or healthcare data to identify patterns, trends, or correlations. You may work closely with clinicians, researchers, or IT specialists to define data requirements, create reports, and present findings in a clear, actionable format. Collaborating with cross-functional teams, developing predictive models, and ensuring data quality and security are also common aspects of the role. Most Biomedical Data Analysts work in a research, hospital, biotech, or academic environment where attention to detail and the ability to communicate technical information to non-technical stakeholders are important.

What is a biomedical data analyst?

A Biomedical Data Analyst is responsible for collecting, processing, and analyzing medical and biological data to derive insights that support research, clinical decision-making, and healthcare innovations. They work with large datasets, applying statistical and machine learning techniques to interpret complex biological information. These professionals collaborate with scientists, healthcare providers, and policymakers to enhance patient outcomes and streamline medical processes. Strong skills in data science, programming (e.g., Python, R), and domain knowledge in biology or medicine are essential for success in this role.

What are the most commonly searched types of Biomedical Data Analyst jobs in Chicago, IL? The most popular types of Biomedical Data Analyst jobs in Chicago, IL are:
What are popular job titles related to Biomedical Data Analyst jobs in Chicago, IL? For Biomedical Data Analyst jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Biomedical Data Analyst jobs in Chicago, IL look for? The top searched job categories for Biomedical Data Analyst jobs in Chicago, IL are:
Biomedical Data Analyst jobs near you
Infographic showing various Biomedical Data Analyst job openings in Chicago, IL as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% In-person job distribution, with an average salary of $85,131 per year, or $40.9 per hour.

Sr. Data Scientist, Translational Research

Tempus

Chicago, IL • On-site

Full-time

Re-posted yesterday

Job description

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.
With the advent of genomic sequencing, we can finally decode and process our genetic makeup; however, computer technology has had a limited impact in healthcare. With the expansion of multi-modal healthcare data and recent advancements in AI, that's about to fundamentally change. Tempus is a healthcare technology company at the forefront of that change, leveraging data and technology to improve patient lives.
Lens, Tempus' proprietary data and platform connect an entire ecosystem of real-world data to deliver real-time, actionable insights to researchers. Our data empowers researchers to better characterize and understand disease, and to drive better outcomes through precise, individualized care.
The Scientific and Technical Solutions team is seeking a driven, intellectually curious member to bridge the gap between our cutting-edge analytical platform and the complex research questions of our clients. This role is central to client success and adoption of the Tempus Data and the Lens Platform. You will serve as the primary technical and scientific resource, ensuring our clients can seamlessly integrate their research with our data and platform to derive meaningful, scientific answers.
Key Responsibilities:
  • Client Onboarding & Education: Lead the technical and scientific onboarding process for new clients, ensuring a smooth transition into the Tempus Data Ecosystem and our analytical platform, Lens.
  • Scientific Problem Solving: Engage with clients (primarily researchers and scientists) to deeply understand their specific scientific hypotheses and questions (e.g., biomarker discovery, target identification, clinical trial design).
  • Platform Guidance & Solutioning: Translate the client's scientific needs into actionable steps on the Tempus analytical platform. This includes designing workflows, structuring queries, and guiding the analysis of complex datasets (genomic, clinical, imaging).
  • AI-Assisted Optimization: Leverage LLMs and co-pilot tools to accelerate internal development and create specialized agents that help clients navigate and derive insights from large-scale biomedical data, and make the client experience on the platform as easy, efficient, and intuitive as possible.
  • Feedback Loop: Act as the voice of the client, collaborating closely with Tempus Product, Engineering, and Data Science teams to prioritize features and resolve technical challenges.
  • Documentation & Training: Create high-quality technical documentation, tutorials, and training materials for clients on platform features and best practices for scientific analysis.

Qualifications:
Required Skills & Experience
  • A Master's or Ph.D. in a relevant scientific field (e.g., Computational Biology, Bioinformatics, Genomics, Data Science, or a related life science discipline).
  • Demonstrated experience working with and analyzing large-scale biomedical datasets (e.g., Next-Generation Sequencing data, clinical trial data, real-world data).
  • Experience working with statistical modeling, data mining and/or machine learning methods.
  • Hands-on experience with analytical tools and languages relevant to biomedical research. Must be fluent in Python or R. If Python is the primary language, having some R coding experience is required. Being comfortable in both languages is an added bonus.
  • Experience with software development and the AWS or GCP technical stack
  • Experience with engineering practices for research computing (Docker, Git, Github, Linux, cloud computing).
  • Demonstrated proficiency with AI-assisted development tools (e.g., GitHub Copilot in VS Code) to optimize coding efficiency and troubleshooting.
  • Experience building specialized AI agents or designing workflows that utilize LLMs to solve complex technical problems.
  • Experience putting data science workflows into production.
  • Proven ability to work collaboratively in a team environment and thrive in a fast-paced environment, willing to shift priorities seamlessly.
  • Demonstrated "power-user" proficiency with AI-assisted development tools (e.g., GitHub Copilot in VS Code) to optimize coding efficiency and troubleshooting.
  • Excellent written and verbal communication skills with a proven ability to explain complex technical and scientific concepts to both technical and non-technical audiences.
  • A strong track record of identifying inefficiencies or scientific roadblocks and developing pragmatic, user-friendly solutions.

Preferred (Bonus) Qualifications:
  • Experience in the biotech, pharma, or healthcare technology space.
  • Direct experience with oncology research.
  • Experience with: Pandas, NumPy, SciPy, Scikit-learn, Jupyter Notebooks, RStudio, R Package development, tidyverse, ggplot, Git, matplotlib, seaborn, HTML5, CSS3, JavaScript, D3, Plot.ly, Flask, Dask

$100,000-175,000
The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, 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.
Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
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.

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