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Bioinformatics Data Engineer Jobs in Ohio (NOW HIRING)

Python Django Developer I

Cleveland, OH

$46.75 - $64.50/hr

Engineer back-end components in a Linux environment, including scripts and cron jobs to enhance ... Implement security and data protection solutions. * Collaborate seamlessly with the bioinformatics ...

Python Django Developer I

Cleveland, OH · On-site

$48.75 - $67.25/hr

Engineer back-end components in a Linux environment, including scripts and cron jobs to enhance ... Implement security and data protection solutions. * Collaborate seamlessly with the bioinformatics ...

Python Django Developer I

Cleveland, OH · On-site

$46.75 - $64.50/hr

Engineer back-end components in a Linux environment, including scripts and cron jobs to enhance ... Implement security and data protection solutions. * Collaborate seamlessly with the bioinformatics ...

... bioinformatics, computer science, pharmaceutical sciences, biophysics, chemical biology, biomedical engineering, statistics, data science, or a related field. * Strong background in AI/ML methods ...

Document analytical programming code and data processing procedures in accordance with USAFSAM ... Bioinformatics * Or a closely related quantitative discipline approved by USAFSAM/FES. * Minimum ...

Document analytical programming code and data processing procedures in accordance with USAFSAM ... Bioinformatics * Or a closely related quantitative discipline approved by USAFSAM/FES. * Minimum ...

Document analytical programming code and data processing procedures in accordance with USAFSAM ... D. in Epidemiology, Statistics, Data Science, Bioinformatics, or a closely related quantitative ...

Document analytical programming code and data processing procedures in accordance with USAFSAM ... Bioinformatics * Or a closely related quantitative discipline approved by USAFSAM/FES. * Minimum ...

Showing results 21-40

Bioinformatics Data Engineer information

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 Ohio look for?

The top searched job categories for Bioinformatics Data Engineer jobs in Ohio are:

What cities in Ohio are hiring for Bioinformatics Data Engineer jobs?

Cities in Ohio with the most Bioinformatics Data Engineer job openings:

Python Django Developer I

Cleveland, OH • On-site

Other

Posted 27 days ago


Job description

A Brief Overview

Responsible for creating and maintaining python pipelines and web applications using the Django framework and Python code. The candidate role will also extend to developing associated databases, ensuring rigorous validation, documentation, and version control linked to these applications. Adhering to standard software development practices, the candidate must be able to tackle complex issues, multitask effectively, and work both independently and collaborate and communicate well within a large and varied team, which includes lab technicians, physicians, and bioinformatics team members.

What You Will Do
  • Utilize the Django framework to develop and implement Python code.
  • Employ software patterns for writing scalable, efficient code.
  • Design, create, and implement web applications.
  • Develop and manage relational databases.
  • Execute database system management tasks (e.g., software installs, upgrades, configuration management, security, backup).
  • Establish tests to identify and rectify software bugs.
  • Engineer back-end components in a Linux environment, including scripts and cron jobs to enhance responsiveness and overall performance.
  • Enhance existing system functionality.
  • Implement security and data protection solutions.
  • Collaborate seamlessly with the bioinformatics team.
  • Coordinate with internal teams to grasp user requirements and offer technical solutions and Django application improvements based on user feedback.
Additional Responsibilities
  • Performs other duties as assigned.
  • Complies with all policies and standards.
  • For specific duties and responsibilities, refer to documentation provided by the department during orientation.
  • Must abide by all requirements to safely and securely maintain Protected Health Information (PHI) for our patients. Annual training, the UH Code of Conduct and UH policies and procedures are in place to address appropriate use of PHI in the workplace.
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