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Biomedical Data Engineer Jobs in Florida (NOW HIRING)

Data Engineer

Miami, FL · On-site

$109.50K - $131.50K/yr

Responsible for data integration, monitoring of data storage, and data distribution across multiple ... Bachelor's Degree in IT, Biomedical Informatics, Computer Science, Engineering or related field ...

$75K - $90K/yr

Biomedical Engineers at Tandem are responsible for developing and running insulin compatibility ... Documents test verification in reports with supporting data. * Participates in formulation of ...

Sr. Software Engineer

Miami, FL

$117.20K - $154.50K/yr

... biomedical data platform. The candidate will be performing their activities within an interdisciplinary team of research scientists, data engineers and other full-stack developers and will be using ...

Sr. Software Engineer

Miami, FL

$117.20K - $154.50K/yr

... biomedical data platform. The candidate will be performing their activities within an interdisciplinary team of research scientists, data engineers and other full-stack developers and will be using ...

Sr. Software Engineer

Miami, FL · On-site

$117.20K - $154.50K/yr

... biomedical data platform. The candidate will be performing their activities within an interdisciplinary team of research scientists, data engineers and other full-stack developers and will be using ...

BIOMEDICAL TECHNICIAN

Miami, FL · On-site

$20 - $23/hr

Maintain a strong focus on patient safety and data privacy at all times. Required Skills ... Associate degree or equivalent certification in Biomedical Engineering Technology, Electronics, or ...

BIOMEDICAL TECHNICIAN

Miami, FL · On-site

$20 - $23/hr

Maintain a strong focus on patient safety and data privacy at all times. Required Skills ... Associate degree or equivalent certification in Biomedical Engineering Technology, Electronics, or ...

Bachelor's degree in computer science, engineering, medical physics, biomedical engineering, data science, or a related field. * Relevant experience in software development, computational science ...

We're looking for a Data Scientist / Developer whose work will directly contribute to health ... Familiarity with health, biomedical, or consumer data. * Experience in Graph ML, contextual bandits ...

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Biomedical Data Engineer information

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 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 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 cities in Florida are hiring for Biomedical Data Engineer jobs? Cities in Florida with the most Biomedical Data Engineer job openings:

$109.50K - $131.50K/yr

Full-time

Posted 21 days ago


Job description

Description
Job Summary
Integrates, builds, and maintains data pipelines and data transformation algorithms for enterprise data analytics consumption. Responsible for data integration, monitoring of data storage, and data distribution across multiple on premise and cloud-based data environments in preparation for sophisticated analytics consumption, data mining, and enterprise data insights.
Job Specific Duties
  • Designs and develops highly scalable, end to end process to consume, integrate and analyze large volume, and complex data from dispersed data sources on both on premise and cloud-based data environments and systems.
  • Integrates, builds, and maintains data pipelines and data transformation algorithms for enterprise data analytics consumption.
  • Responsible for data integration, monitoring of data storage, and data distribution across multiple on premise and cloud-based data environments in preparation for sophisticated analytics consumption, data mining, and enterprise data insights.
  • Engages and communicates effectively with a variety of IT, research, and medical staff.
  • Integrates and ETL/ELT datasets and flows using a variety of open source and best in class proprietary software.
  • Write complex, efficient queries against large, and disparate data sources.
  • Monitors ETL/ELT performance and ensures compliance with security.
  • Deploy sophisticated analytics programs, machine learning, and statistical methods. Prepare data for predictive and prescriptive modeling. Find hidden patterns using data to help improve business insights.
  • Use of machine learning patterns for data discovery and on tasks that can be automated.

Qualifications
Minimum Job Requirements
  • Bachelor's Degree in IT, Biomedical Informatics, Computer Science, Engineering or related field with at least 4 years of combined experience in Clinical IT and/or Research (or) Master's degree in IT, Biomedical Informatics, Computer Science, Engineering with at least 2 years of combined experience in Clinical IT and/or Research
  • 1-3 years of data engineering and integration experience
  • 1-3 years of data management in cloud-based data environments such as Azure or AWS
  • 3-5 years of experience developing database schemas, querying, managing, or curating Oracle PL/SQL or SQL server databases
  • 1-3 years of data warehousing ELT/ETL experience
  • 1-3 years of experience with the use of Python, SQL, SSIS, or Informatica for data ETL and data transformations
  • Experience working with API's/RESTful Web Services
  • Experience with XML, JSON, HL7, or FHIR
  • Experience with data visualization tools such as Tableau or Power BI

Knowledge, Skills, and Abilities
  • Direct experience or strong familiarity with commercial EHR platform and/or PeopleSoft.
  • Experience extracting and managing data from large enterprise clinical and non-clinical systems.
  • Familiarity with and experience with efficient database ETL processes - extracting data from a wide range of data sources, normalizing data, creating and providing entity relationship diagrams, schemas and related documentation, creating primary and foreign keys and indexing, writing functional and technical specifications.
  • Ability to learn and apply new technical skills.
  • Willingness and ability to share knowledge with other team members.
  • Ability to adapt to changes in fast paced healthcare and data environment.
  • Identify ways to improve data reliability, efficiency, and quality.
  • Effective work experience developing, integrating, and supporting data systems; working with a combination of both relational and NoSQL databases.