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Bioinformatics Data Engineer Jobs in Miami, FL (NOW HIRING)

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Bioinformatics Data Engineer information

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$41.1K

$125.3K

$228.1K

How much do bioinformatics data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for bioinformatics data engineer in Miami, FL is $125,345.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $150,200.00 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 Miami, FL? For Bioinformatics Data Engineer jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Data Engineer jobs in Miami, FL look for? The top searched job categories for Bioinformatics Data Engineer jobs in Miami, FL are:
What cities near Miami, FL are hiring for Bioinformatics Data Engineer jobs? Cities near Miami, FL with the most Bioinformatics Data Engineer job openings:
Infographic showing various Bioinformatics Data Engineer job openings in Miami, FL as of August 2026, with employment types broken down into 83% Full Time, 6% Part Time, and 11% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $125,345 per year, or $60.3 per hour.

Postdoctoral Associate (Public Health Sciences)

The University of Miami

Miami, FL • On-site

Full-time

Medical, Dental

Re-posted 6 days ago


University Of Miami rating

7.7

Company rating: 7.7 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

257th of 616 rated colleges and universities


Job description

Current Employees:
If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position, please review this tip sheet.
The University of Miami/UHealth Department of SCCC Public Health Science has an exciting opportunity for a Full Time Post Doctoral Associate to work at the UHealth campus in Miami, Fl.
We are seeking a highly motivated Postdoctoral Associate to join our bioinformatics research lab. The successful candidate will work at the intersection of computational biology, Genomics, machine learning, and data science, contributing to the development and evaluation of advanced algorithms for analyzing large-scale biological datasets. This role is ideal for candidates with a strong computer science background, such as algorithms, machine learning and data science.
Key Responsibilities
  • Develop, implement, and evaluate machine learning and deep learning models for biological data analysis
  • Work with large-scale datasets such as:
    • Genomics / transcriptomics (bulk, single-cell, spatial)
    • Epigenomics, proteomics, or multi-omics data
  • Design data preprocessing, feature engineering pipelines.
  • Implement models in Python using frameworks such as PyTorch, TensorFlow.
  • Perform statistical analyses and model benchmarking against existing methods.
  • Collaborate with wet-lab scientists and domain experts to interpret results.
  • Contribute to manuscripts, conference abstracts, and presentations.

Required Qualifications
  • Ph.D in Computer Science, Bioinformatics, Computational Biology, Data Science, or a related field
  • Strong programming skills in Python, R
  • Solid understanding of:
    • Machine learning fundamentals
    • Deep learning architecture (e.g., CNNs, RNNs, Transformers)
    • Optimization and model evaluation
    • Knowledge in biology and genomics
  • Experience working with large datasets and numerical computing libraries (NumPy, Pandas, SciPy)
  • Familiarity with Linux environments, version control (Git), cloud computing.

Preferred Qualifications
  • Prior experience in bioinformatics or computational biology
  • Experience with one or more of the following:
    • Single-cell or spatial omics analysis
    • DNA Methylation analysis
    • Graph neural networks
    • Generative models (VAEs, diffusion models)
    • Multi-modal learning
  • Knowledge of bioinformatics tools and data formats (FASTQ, BAM, VCF, H5AD, AnnData, Seurat, etc.).
  • Experience with HPC clusters, cloud computing, or GPU acceleration.
  • Strong mathematical background in linear algebra, probability, and statistics.
  • Prior research experience with publications or preprints.

The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more.
UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for.
The University of Miami is an Equal Opportunity Employer. Applicants and employees are protected from discrimination based on certain categories protected by Federal law.
Job Status:
Full time
Employee Type:
Staff

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About University of Miami

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The University of Miami, located in the beautiful Coral Gables, Florida, is a comprehensive, private research institution in the United States. Operating within the higher education industry, the institution offers a multitude of degree programs spanning over 180 majors and program through its 12 colleges. The University was founded in 1925 with the mission to disseminate knowledge, transform lives, and change the world - a mission it has held faithfully to this day. Notably, the University of Miami has gained global recognition for its commitment to research and innovation, with over $324 million in research and sponsored project funding awarded annually.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Coral Gables, FL, US

Year founded

1925