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Bioinformatics Data Engineer Jobs in Taylor, MI (NOW HIRING)

University of Michigan

Data Architect Senior

Ann Arbor, MI · On-site

$65.75 - $88/hr

Master's degree or higher in computer science, data science, computer engineering, biomedical engineering, bioinformatics, informatics, or a related field. Candidates with substantial equivalent ...

All JobsBioinformatics Data Engineer JobsBioinformatics Data Engineer Jobs in Taylor, MI

Bioinformatics Data Engineer information

See Taylor, MI salary details

$39.9K

$121.7K

$221.4K

How much do bioinformatics data engineer jobs pay per year?

As of Aug 4, 2026, the average yearly pay for bioinformatics data engineer in Taylor, MI is $121,660.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,100.00 and $145,700.00 per year, depending on experience, location, and employer.

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 does a bioinformatics data engineer do?

A bioinformatics data engineer designs, develops, and maintains data pipelines and infrastructure to process large biological datasets. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, accurate, and efficiently managed for research and analysis purposes.

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 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.

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 are popular job titles related to Bioinformatics Data Engineer jobs in Taylor, MI? For Bioinformatics Data Engineer jobs in Taylor, MI, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Data Engineer jobs in Taylor, MI look for? The top searched job categories for Bioinformatics Data Engineer jobs in Taylor, MI are:
What cities near Taylor, MI are hiring for Bioinformatics Data Engineer jobs? Cities near Taylor, MI with the most Bioinformatics Data Engineer job openings:
Bioinformatics Data Engineer jobs near you

Bioinformatician II- Full Time- Day Shift

Henry Ford Health System

Detroit, MI • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Henry Ford Health rating

7.0

Company rating: 7.0 out of 10

Based on 564 frontline employees who took The Breakroom Quiz

412th of 887 rated healthcare providers

Job description

GENERAL SUMMARY:
Works with investigators and clinicians in the design, collection, processing, and analysis of study that generate data in one or more of the following domains: -omic (e.g., genomics, transcriptomics, epigenomics), imaging (e.g., medical imaging technologies and histopathologic images), electronic health records, and emerging bioinformatic data areas. Develops goals, methods, procedures, and analytic pipelines. Provides in-depth analysis of studies using a variety of computational/statistical methods, bioinformatics tools, and prepare interpretive reports. Applies both biological and bioinformatic skills to evaluate biomedical informatics data in single domains (e.g., SNP array and next-generation sequencing data) and/or integrate data across multiple domains and time points (e.g., computational biology). Devises and documents new approaches to analyze these data. Prepares proposal reviews and conduct seminars on statistical analyses as appropriate. Provides guidance on the work of other bioinformaticians and data processes. Acts as a technical resource and provides guidance to support personnel.
EDUCATION/EXPERIENCE REQUIRED:
  • Bachelor's degree in genetics or statistical genetics; pharmacology; biology (particularly molecular, evolutionary, or computational biology); biostatistics; bioinformatics; data mining; engineering with a healthcare focus, physics, or a comparable degree/training is required with four (4) years of experience. OR Master's degree in genetics or statistical genetics; pharmacology; biology (particularly molecular, evolutionary, or computational biology); biostatistics; bioinformatics; data mining; engineering with a healthcare focus, physics, or a comparable degree/training is required with two (2) years of experience.
  • Experience working with statistical/bioinformatics software packages (e.g., R, Bioconductor, SAS), scientific programming skills (e.g., Python, C, Java, shell scripting), and knowledge in working in a Linux and/or command line environment required.
  • Cloud computing skills and experience preferred.
  • Alternatively, having deep knowledge in working with, collecting data, and cleaning data in the previously mentioned bioinformatics data domains may substitute for the previously mentioned experience.
  • Excellent verbal and written communication skills are required to interact with research and clinical staff of various levels, as well as to assist in research grant applications, to present at scientific conferences, and to prepare and submit scientific manuscripts for publication.
  • Strong understanding of clinical data, including diagnoses, procedures, medications, laboratory results, and clinical workflows.
  • Experience with data collection, data cleaning, database querying, and clinical data management.
  • Strong analytical and problem-solving skills, with excellent attention to detail and the ability to collaborate effectively with multidisciplinary teams.
  • Familiarity with healthcare data coding systems (e.g., ICD and CPT).
  • Understanding of patient privacy, data governance, and regulatory requirements related to healthcare data (e.g., HIPAA).

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About Henry Ford Health

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Henry Ford Health provides a full continuum of services from Primary and Preventative care, to Complex and Cpecialty care, Health Insurance, a full suite of home health offerings, Virtual care, Pharmacy, Eye care and other Healthcare retail. It is one of the Nation’s leading Academic Medical Centers, recognized for Clinical excellence in Cancer care, Cardiology and Cardiovascular Surgery, Neurology and Neurosurgery, Orthopedics and Sports medicine, and Multi organ transplants. Consistently ranked among the top five NIH funded institutions in Michigan, Henry Ford Health engages in more than 2,000 research projects annually. Equally committed to educating the next generation of Health Professionals, Henry Ford Health trains more than 4,000 Medical students, Residents and fellows every year across 50+ accredited programs. With more than 33,000 valued team members, Henry Ford Health is also among Michigan’s largest and most Diverse employers, including nearly 6,000 physicians and researchers from the Henry Ford Medical Group, Henry Ford Physician Network and Jackson Health Network.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1915

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