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Biomedical Data Science Jobs in Illinois (NOW HIRING)

Prolaio

Data Architect, Clinical

Chicago, IL · On-site

$65.75 - $84.50/hr

Bachelor's degree in computer science, Data Engineering, Information Systems, Biomedical Informatics, Engineering, or a related field. * Minimum 10 years of experience in healthcare, life sciences ...

Prolaio

Data Architect, Clinical

Chicago, IL

$65.75 - $84.50/hr

Bachelor's degree in computer science, Data Engineering, Information Systems, Biomedical Informatics, Engineering, or a related field. * Minimum 10 years of experience in healthcare, life sciences ...

University of Utah

Post Doc Res Assoc

Campus, IL

$65K - $73K/yr

PhD or MDPhD in a relevant field (e.g., Biochemistry, Molecular Biology, Genetics, Systems Biology, Bioengineering, Computational Biology, Biomedical Data Science). * Strong publication record for ...

University of Utah

Post Doc Res Assoc

Campus, IL

$65K - $73K/yr

PhD or MDPhD in a relevant field (e.g., Biochemistry, Molecular Biology, Genetics, Systems Biology, Bioengineering, Computational Biology, Biomedical Data Science). * Strong publication record for ...

University of Utah

Post Doc Res Assoc

Campus, IL

$65K - $73K/yr

PhD or MDPhD in a relevant field (e.g., Biochemistry, Molecular Biology, Genetics, Systems Biology, Bioengineering, Computational Biology, Biomedical Data Science). * Strong publication record for ...

The University of Chicago

Research Manager

Chicago, IL · On-site

... scientific contributions and leadership within a dynamic, collaborative research environment. This position offers incumbent career opportunities in advancing biomedical data analytics and project ...

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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Biomedical Data Science information

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

To thrive as a Biomedical Data Scientist, you need a strong background in statistics, machine learning, programming (typically Python or R), and a solid understanding of biological or clinical data. Familiarity with bioinformatics tools, data visualization platforms, high-throughput sequencing technologies, and relevant certifications (such as in data science or bioinformatics) is commonly required. Strong problem-solving abilities, communication skills, and interdisciplinary collaboration help set top professionals apart in this field. These competencies are crucial for extracting meaningful insights from complex biomedical data, driving research innovation, and supporting evidence-based healthcare decisions.

How does a biomedical data scientist typically collaborate with clinicians and researchers on interdisciplinary projects?

Biomedical Data Scientists often work closely with clinicians, biologists, and other researchers to translate complex biomedical questions into data-driven solutions. This collaboration usually involves regular meetings to understand clinical needs, define project goals, and discuss data interpretation. Effective communication is key, as team members may have different expertise and perspectives. By collaborating, Biomedical Data Scientists help ensure that analytical methods and results are both rigorous and clinically relevant, ultimately contributing to impactful healthcare outcomes.

What is the difference between Biomedical Data Science vs Bioinformatics?

AspectBiomedical Data ScienceBioinformatics
Required CredentialsDegree in Data Science, Biostatistics, or related fields; programming skillsDegree in Bioinformatics, Computational Biology, or related fields; programming skills
Work EnvironmentResearch labs, healthcare institutions, biotech companiesResearch labs, academic institutions, biotech firms
Industry UsageAnalyzing large biomedical datasets, developing predictive modelsAnalyzing biological data, genome sequencing, gene annotation
Search & Comparison IntentHigh overlap in data analysis, healthcare applicationsFocus on biological data interpretation

Biomedical Data Science and Bioinformatics share many skills and work environments, but they differ in focus. Biomedical Data Science emphasizes analyzing large datasets and developing predictive models in healthcare, while Bioinformatics concentrates on biological data analysis, such as genome sequencing. Both roles require programming skills and are vital in biomedical research, but their specific applications and industry terminology vary.

What does a biomedical data scientist do?

A biomedical data scientist analyzes complex biological and medical data to identify patterns and insights that can improve healthcare and research. They use statistical methods, machine learning, and data visualization tools to interpret data from sources like electronic health records, genomic sequences, and clinical trials, often working in interdisciplinary teams and requiring programming skills in languages such as Python or R.

What are popular job titles related to Biomedical Data Science jobs in Illinois?

For Biomedical Data Science jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Biomedical Data Science jobs in Illinois look for?

The top searched job categories for Biomedical Data Science jobs in Illinois are:

What cities in Illinois are hiring for Biomedical Data Science jobs?

Cities in Illinois with the most Biomedical Data Science job openings:

Biomedical Data Science jobs near you
Infographic showing various Biomedical Data Science job openings in Illinois as of August 2026, with employment types broken down into 6% Internship, 83% Full Time, and 11% Part Time. Highlights an 89% In-person, and 11% Remote job distribution.

Data Architect, Clinical

Prolaio

Chicago, IL • On-site

$65.75 - $84.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago

Job description

Who Are We?
Prolaio believes that continuous learning and collaboration can make a significant difference in how heart care is administered. We are creating smarter ways to address heart disease and heart risks by uniting patients, care teams, and researchers on a secure, technology-enabled platform that drives clinical innovation and offers a path towards better patient outcomes.
This is precision cardiology, and we know it's within reach.
What Will You Do?
The Overview
The Data Architect will shape the backbone of Prolaio's healthcare data ecosystem, defining and scaling the architectures that power clinical intelligence products, real-world data pipelines, analytics, data science, clinical operations, quality, and other enterprise use cases in a regulated environment. In this role, you turn complex clinical and operational data into interoperable, trustworthy, and scalable platforms that enable Prolaio to transform continuous, predictive, and shareable heart data into faster therapeutic discovery and better cardiovascular outcomes.
This role is ideal for a self-starter with deep healthcare data experience who wants to architect modern platforms across structured, semi-structured, and unstructured data, embedding lifecycle management, standardization, lineage, provenance, compliance, and AI enablement into the foundation of Prolaio's data ecosystem.
The Specifics
  • Define the target-state data architecture and roadmap for Prolaio's regulated healthcare data platform in support of product, analytics, data science, data services, clinical operations, and quality use cases.
  • Architect scalable, secure, and interoperable data platforms that support structured, semi-structured, and unstructured data across clinical, operational, device, and patient-generated sources relevant to Prolaio's cardiovascular and research mission.
  • Lead architecture decisions for storage, compute, orchestration, metadata, APIs, and integration patterns across cloud-native environments and modern data platforms.
  • Establish architecture standards and reference patterns that support reliability, performance, extensibility, and validated operation in regulated settings.
  • Design and govern conceptual, logical, and physical data models for clinical trials, cardiovascular and physiological data, real-world data, claims, medication, socio-economic, behavioral, and related healthcare datasets.
  • Apply healthcare terminologies, ontologies, and common data models where appropriate, including standards such as HL7, FHIR, ICD, SNOMED CT, LOINC, RxNorm, OMOP, and CDISC.
  • Lead efforts to standardize and normalize disparate data sources into governed, reusable, analysis-ready datasets suitable for regulated workflows, clinical research, and product development.
  • Architect end-to-end data flows and reusable pipelines for ingestion, validation, transformation, enrichment, publishing, retention, archival, and decommissioning across batch, streaming, and hybrid workloads.
  • Define and implement data lifecycle management practices that support retention, access control, traceability, reproducibility, lineage, provenance, and auditability in regulated healthcare environments.
  • Design data architectures that enable AI, analytics, and machine learning use cases by supporting feature generation, retrieval workflows, governed access, and production deployment needs.

Why Prolaio?
  • Impactful Work: You will join in the fight against heart failure (HF) and hypertrophic cardiomyopathy (HCM) with the goal of extending and saving the lives of our patients while also being at the forefront of changing the healthcare industry through technology.
  • Innovative Environment: You will be part of an organization doing something that's never been done before.
  • Professional Growth: You will join a growing team and have a substantial impact on our daily and future operations with the opportunity to continuously learn and grow.
  • Collaborative Team: You will be part of a team of collaborative, curious, and committed individuals focused on the collective good, inclusiveness, scientific excellence, and advancing digital health for cardiology.

Who You Are?
  • Bachelor's degree in computer science, Data Engineering, Information Systems, Biomedical Informatics, Engineering, or a related field.
  • Minimum 10 years of experience in healthcare, life sciences, medtech, digital health, or other patient-data-focused environments, including at least 5 years in clinical data, real-world data, clinical trials data, or other patient-centered data platforms.
  • Demonstrated experience architecting healthcare data platforms that support structured, semi-structured, and unstructured data in regulated or validated environments.
  • Deep understanding of data from cardiology focused wearables devices, claims, socioeconomic, behavioral, and EHR.
  • Deep understanding of healthcare data domains, data modeling, standardization, normalization, and the application of healthcare terminologies and common data models.
  • Strong experience working in a cross-functional, matrixed organization and partnering effectively with Product, Engineering, Data Science, Analytics, Clinical Operations, Quality, and Security teams, with the ability to operate as a self-starter in a growth-stage environment.
  • Strong familiarity with cloud platforms such as GCP, AWS, or Azure and modern data platforms such as Snowflake, Databricks, BigQuery, Redshift, Synapse, or comparable environments.
  • Experience with ETL or ELT, orchestration, and large-scale data processing tools such as dbt, Airflow, Dagster, Spark, Kafka, Fivetran, Informatica, Talend, or similar technologies.
  • Strong SQL and Python skills, with familiarity in APIs, event-driven architectures, interoperability frameworks, and clinical data exchange patterns such as HL7 and FHIR
  • Familiarity with metadata, lineage, catalog, governance, and AI-enablement tools, including platforms for semantic indexing, vectorization, retrieval, and data lifecycle automation.

Why You'll Love Working Here
  • Meaningful Compensation: Competitive salary, performance bonus, and equity so you can share in what we build.
  • Great Health Coverage: Medical, dental, and vision plans with multiple options and strong company contributions.
  • Flexible Spending Perks: HSA, FSA, commuter benefits, and a $1,200 annual Lifestyle Spending Account to support wellness, commuting, family needs, and more.
  • Time to Recharge: Generous paid time off, sick leave, and company holidays.
  • Family-First Benefits: Paid parental leave, caregiver leave, and support for growing families.
  • Security & Peace of Mind: Company-paid life insurance and short- and long-term disability coverage.
  • Plan for the Future: 401(k) plan to help you build long-term financial security.
  • Care When You Need It: Easy access to telehealth and optional supplemental coverage for life's unexpected moments.

Starting Salary is at $148,000.00 (Exact Compensation may vary based on skills, experience, and location)

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