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Bioinformatics Data Engineer Jobs in Cary, IL (NOW HIRING)

Ability to work well with quality, clinical, medical, bioinformatics, and laboratory teams across a ... Knowledge of engineering concepts and biology with ability to evaluate device performance data and ...

Ability to work well with quality, clinical, medical, bioinformatics, and laboratory teams across a ... Knowledge of engineering concepts and biology with ability to evaluate device performance data and ...

Showing results 41-48

Bioinformatics Data Engineer information

See Cary, IL salary details

$43.6K

$132.9K

$241.9K

How much do bioinformatics data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for bioinformatics data engineer in Cary, IL is $132,939.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $159,300.00 per year, depending on experience, location, and employer.

What is a bioinformatics data engineer?

A Bioinformatics Data Engineer is a professional who designs, develops, and maintains data infrastructure for managing and analyzing large-scale biological data, such as genomics or proteomics datasets. They build pipelines and tools to process, store, and retrieve complex biological information efficiently. Their work enables researchers and scientists to access and interpret data for discoveries in fields like medicine, genetics, and biotechnology. Often, they collaborate closely with bioinformaticians, data scientists, and software engineers to support research initiatives.

How do bioinformatics data engineers typically collaborate with researchers and other teams in a biomedical organization?

Bioinformatics Data Engineers often work closely with biologists, data scientists, and software engineers to ensure the effective collection, processing, and analysis of complex biological data. They regularly participate in cross-functional meetings to understand research goals, develop data pipelines, and troubleshoot data-related issues. Collaboration is essential, as engineers must translate scientific requirements into technical solutions, provide data access and visualization tools, and support researchers in extracting meaningful insights from large datasets. This teamwork fosters a dynamic environment where communication and adaptability are key.

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

To thrive as a Bioinformatics Data Engineer, you need a strong background in computer science, biology, and statistics, often supported by a relevant degree and experience in data engineering. Proficiency with programming languages (such as Python, R, or SQL), bioinformatics tools, cloud platforms, and big data frameworks (like Hadoop or Spark) is typically required. Strong problem-solving, collaboration, and communication skills help you work effectively across interdisciplinary teams and convey complex findings. These skills ensure accurate analysis, efficient data pipeline development, and meaningful insights that advance biological research and healthcare solutions.

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

AspectBioinformatics Data 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 EnvironmentData pipelines, database management, software developmentData interpretation, report generation, biological data analysis
Employer & Industry UsageBiotech companies, research labs, pharmaResearch institutions, healthcare, biotech
Common Search & ComparisonFocuses on data infrastructure and pipelinesFocuses on biological data interpretation

The main difference between a Bioinformatics Data Engineer and a Bioinformatics Analyst lies in their focus areas. Data Engineers build and maintain data pipelines and infrastructure, while Analysts interpret biological data to generate insights. Both roles require strong bioinformatics knowledge, but Data Engineers emphasize programming and data management, whereas Analysts focus on biological interpretation and reporting.

What job categories do people searching Bioinformatics Data Engineer jobs in Cary, IL look for?

The top searched job categories for Bioinformatics Data Engineer jobs in Cary, IL are:

What cities near Cary, IL are hiring for Bioinformatics Data Engineer jobs?

Cities near Cary, IL with the most Bioinformatics Data Engineer job openings:

Infographic showing various Bioinformatics Data Engineer job openings in Cary, IL as of August 2026, with employment types broken down into 83% Full Time, 7% Part Time, and 10% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $132,939 per year, or $63.9 per hour.

Associate Principal Scientist, Translational Research

Tempus

Chicago, IL • On-site, Remote

Full-time

Posted 27 days ago


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.

Responsibilities: Partner with our pharma clients to design, develop and execute computational research projects leveragingthe Tempus platform to advance precision medicine research programs. Analyze and integrate large diverse clinical and molecular datasets to extract insights and drive new researchopportunities. Stay ahead of research and industry trends in oncology drug development, and identify specific areas wherethe Tempus platform can establish new markets. Become an expert in our biopharma partners' strategy, pipeline and portfolio to proactively determine allareas that the Tempus platform could add value to the drug development process of our partners. Develop and drive global account strategy in coordination with the account team. Document, summarize and communicate highly technical results and methods clearly to non-technicalaudiences. Work directly with clients to co-architect solutions and projects that leverage the Tempus platform to solvecustomers' challenges and maintain R&D relationships as the trusted technical advisor. Author whitepapers and illustrate the value of multimodal analysis and AI in drug discovery in coordinationwith our Research, Engineering & Data Science teams. Work with Product and Engineering teams to streamline workflow of computational analyze Contribute to the development of the portfolio by providing feedback to leadership regarding clientresponses and suggestions; maintain a solution-oriented mindset. Track progress against defined strategic objectives and goals; review progress/setbacks frequently wibroader Account Team and Tempus leadership. Travel approximately 25% of working time, domestically and internationally.Preferred Qualification PhD degree in a quantitative discipline (e.g. Biostatistics/Statistical Genetics, Cancer Genetics,Bioinformatics, Computational Biology, Computational Immunology or similar). Alternatively, a PhD inMolecular Biology or Immunology combined with a very strong record of computational biology. Minimum 4+ years in drug development leveraging genomic and multimodal data for drug discovery anddevelopment . Strong understanding of molecular data and artificial intelligence in drug discovery with experienceintegrative modeling of multi-modal clinical and omics data. Proficient in R, Python, and SQ Previous experience working with large transcriptome data sets. Strong understanding of Cancer, Immunology, Clinical Trials and Real World Evidence Platforms . Prior consulting and/or client facing experience is highly desirable Thrive in a fast-paced environment and willing to shift priorities seamlessly.
Preferred Experience: Proven track record of developing solutions utilizing molecular and multimodal data. Demonstrated ability to influence without authority (both with internal and external stakeholders Proactive mindset that bridges ideas to implementable solutions, and can help move both internal andexternal stakeholders to quickly solve problems Experience with communicating insights and presenting concepts to diverse audiences. Strong peer-reviewed publication record. Experience with: Pandas, NumPy, SciPy, Scikit-learn, Jupyter Notebooks, RStudio, tidyverse, ggplot, Git,matplotlib, seaborn, HTML5, CSS3, JavaScript, D3, Plot.ly, Flask, Dask, Docker, AWS. Team player mindset and ability to work in an interdisciplinary team. Goal orientation, self motivation, and drive to make a positive impact in healthcare.

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.