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Biomedical Data Engineer Jobs in Illinois (NOW HIRING)

Postdoctoral Fellow

Campus, IL · On-site

$47K - $64K/yr

Computational and statistical analysis of genomic and biomedical data (40%) * Development of AI/ML ... Proficiency in Python, R, or related programming languages for data analysis and scientific ...

Postdoctoral Fellow

Campus, IL

$47K - $64K/yr

Develop and apply AI/ML methods to biomedical data, including pipeline development (25 ... Good programming skills in at least one programming language (e.g., Python, R, etc). * A good ...

Completes all paperwork and computer data entry accurately and promptly to ensure complete ... An associate degree in electronics, mechanical engineering, or biomedical equipment technology.

Complete all paperwork and computer data entry accurately and promptly to ensure complete ... An associate degree in electronics, mechanical engineering, or biomedical equipment technology.

Data Science/MLOps Engineer

Chicago, IL · On-site

$118K - $141K/yr

Role : Data Science/MLOps Engineer Experience: - Min 8+ Years Location: - Chicago, IL We are ... Prior experience with clinical, biomedical, or healthcare NLP use cases * Familiarity with health ...

IL · On-site

$44 - $47/hr

Maintain PMI-ATS/DMLSS data integrity, preventive-maintenance schedules, quality metrics, and ... electronics, engineering technology, or an equivalent combination of education and experience.

Data Architect, Clinical

Chicago, IL · On-site

$65.75 - $84.50/hr

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

Data Scientist II

Chicago, IL · On-site

$70 - $110/hr

The University of Chicago biomedical enterprise houses three entities: the Biological Sciences ... Partner with the S&A data engineer and enterprise analytics teams to operationalize analytical ...

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Biomedical Data Engineer information

What is a biomedical data engineer?

A Biomedical Data Engineer is a professional who designs, develops, and maintains systems for collecting, storing, and analyzing biomedical data. They work at the intersection of healthcare and technology, collaborating with researchers, clinicians, and IT specialists to ensure that medical data is accessible, accurate, and secure. Their work supports medical research, diagnostics, and the development of healthcare solutions by leveraging large datasets, machine learning, and advanced analytics. Biomedical Data Engineers often use programming languages, database management, and data processing tools to handle complex health data from various sources.

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

To thrive as a Biomedical Data Engineer, you need strong programming skills (e.g., Python, R), a background in biomedical sciences or bioinformatics, and experience with data modeling and analysis. Familiarity with big data frameworks, cloud platforms, and tools like SQL, Hadoop, and machine learning libraries, as well as relevant certifications, is commonly required. Excellent problem-solving abilities, attention to detail, and effective collaboration with cross-functional teams help you stand out in this role. These skills enable accurate analysis and integration of complex biomedical data, supporting critical healthcare research and innovation.

What are some common challenges faced by biomedical data engineers when integrating clinical data from multiple sources?

Biomedical Data Engineers often encounter challenges related to data heterogeneity when integrating clinical information from diverse sources such as electronic health records, medical imaging systems, and genomic databases. These sources may use different formats, standards, and terminologies, making data cleaning and normalization a complex task. Additionally, ensuring patient privacy and compliance with healthcare regulations adds another layer of complexity. Collaborating with clinicians, data scientists, and IT teams is essential to address these challenges and ensure data is usable for research and decision-making.

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

AspectBiomedical Data EngineerBiomedical Data Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; experience with data engineering toolsBachelor's or Master's in Biology, Bioinformatics, or related fields; proficiency in data analysis and visualization
Work EnvironmentDevelops data pipelines, manages databases, and ensures data infrastructure for research and healthcareAnalyzes datasets, creates reports, and interprets data for research or clinical decision-making
Employer & Industry UsageResearch institutions, biotech companies, healthcare providersHospitals, research labs, biotech firms, healthcare organizations

While both roles work with biomedical data, Biomedical Data Engineers focus on building and maintaining data infrastructure, whereas Biomedical Data Analysts interpret and analyze data to support research and clinical decisions.

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

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

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

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

$47K - $64K/yr

Full-time

Re-posted 3 days ago


Job description

The position focuses on data analytics, computational genomics, machine learning, and the application of metagenomics to dental diseases. The Fellow will work closely with the PI on collaborative, interdisciplinary projects and contribute to student training, while advancing Meharry's mission in biomedical research and workforce development. The position provides access to state-of-the-art computational infrastructure and offers opportunities for career development, publications, and grant participation..

Essential Functions (Principal Duties and Job Responsibilities):

  • Computational and statistical analysis of genomic and biomedical data (40%)
  • Development of AI/ML methods and bioinformatics pipelines (30%)
  • Manuscript preparation, presentations, and grant support (20%)
  • Mentoring and training students (10%)

Knowledge, Skills and Abilities Required:

  • Solid computing background or data experience, e.g., high-performance computing and machine learning.
  • Proficiency in Python, R, or related programming languages for data analysis and scientific computing.
  • A good understanding of genetics or molecular biology is a plus, but not required.

Knowledge, Skills, Abilities Preferred:

  • A computing background is preferred

Education and Experience Required:

  • Ph.D. in Bioinformatics, Computational Biology, Computer Science, Data Science, Statistics, Genomics, Biomedical Informatics, or a related quantitative discipline.

Education and Experience Preferred:

  • Experience in bioinformatics, genomics, machine learning, artificial intelligence, or biomedical data science is preferred.

Equal Employment Opportunity Statement

Meharry Medical College complies with Title IX and is an affirmative action employer. Candidates will be considered for employment without discrimination for an non-merit reason such as race, color, national origin, sex, religion, age, handicap or veteran status.