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Bioinformatics Engineer Jobs in Tennessee (NOW HIRING)

Meharry Medical College

Postdoctoral Fellow

Nashville, TN · On-site

$47K - $64K/yr

Development of AI/ML methods and bioinformatics pipelines (30%) * Manuscript preparation ... Proficiency in Python, R, or related programming languages for data analysis and scientific ...

ORAU

Research Associate 2

Oak Ridge, TN · On-site +1

$35.19 - $48.95/hr

D. preferred in Bioinformatics, Biomedical Informatics, Computational Biology, Molecular Biology ... Proficiency in programming and data analysis tools commonly used in biomedical research (e.g., R ...

Vanderbilt Health

Research Assistant 1

Nashville, TN

$18.50 - $25.50/hr

These innovative projects involve experts from the Vanderbilt-Ingram Cancer Center, Bioinformatics, Dermatology, Medicine, Computer Science and Biomedical Engineering Departments. This environment ...

New

Vanderbilt Health

Research Assistant 1

Nashville, TN · On-site

$18.50 - $25.50/hr

These innovative projects involve experts from the Vanderbilt-Ingram Cancer Center, Bioinformatics, Dermatology, Medicine, Computer Science and Biomedical Engineering Departments. This environment ...

Vanderbilt University

Staff Scientist

Nashville, TN · On-site

... genome engineering zebrafish and/or mouse models bioinformatics and computational analysis (R/Python) Excellent organizational, communication, and mentoring skills A collaborative mindset and ...

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Bioinformatics Engineer information

See Tennessee salary details

$39K

$118.9K

$216.5K

How much do bioinformatics engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for bioinformatics engineer in Tennessee is $118,946.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,100.00 and $142,500.00 per year, depending on experience, location, and employer.

What is a bioinformatics engineer?

A Bioinformatics Engineer is a professional who combines expertise in computer science, statistics, and biology to develop software tools and algorithms for analyzing biological data. They often work with large datasets such as genomic sequences, protein structures, and clinical information to help scientists make sense of complex biological systems. Their work is essential in fields like genomics, personalized medicine, and drug discovery, where managing and interpreting vast amounts of data is crucial. Bioinformatics Engineers may also collaborate with researchers to design experiments and interpret results, bridging the gap between biology and technology.

What are the key skills and qualifications needed to thrive as a bioinformatics engineer?

To thrive as a Bioinformatics Engineer, you need a strong background in biology, computer science, and statistics, often supported by a degree in bioinformatics or a related field. Experience with programming languages such as Python or R, familiarity with databases, and knowledge of tools like BLAST, Bioconductor, or next-generation sequencing (NGS) analysis platforms are typically required. Strong problem-solving, analytical thinking, and effective communication skills help you collaborate with interdisciplinary teams and convey complex findings. These skills and qualifications are essential for efficiently analyzing biological data, developing robust computational tools, and advancing research in genomics and life sciences.

What are some common challenges faced by bioinformatics engineers when integrating new data sources into existing pipelines?

Bioinformatics Engineers often encounter challenges such as data format inconsistencies, varying quality of datasets, and the need to ensure compatibility with existing analysis pipelines. Integrating new data sources may require custom scripts or tools for parsing and preprocessing, as well as thorough validation to maintain reproducibility and reliability of results. Collaboration with wet-lab scientists and software engineers is essential to clarify data requirements and streamline the integration process.

What is the difference between Bioinformatics Engineer vs Bioinformatics Analyst?

AspectBioinformatics 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 EnvironmentResearch labs, biotech companies, pharmaceutical firmsResearch institutions, healthcare organizations, biotech companies
Employer & Industry UsageDevelops tools, pipelines, and software for biological data analysisInterprets data, performs statistical analysis, and reports findings

While both roles require a background in bioinformatics and involve working with biological data, Bioinformatics Engineers focus on developing software and tools, whereas Bioinformatics Analysts primarily analyze and interpret data to support research and decision-making.

What does a bioinformatics engineer do?

A bioinformatics engineer develops and applies computational tools and algorithms to analyze biological data, such as genetic sequences and molecular structures. They often work with programming languages like Python or R, utilize databases, and collaborate with biologists to interpret data for research or medical purposes.
More about Bioinformatics Engineer jobs

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For Bioinformatics Engineer jobs in Tennessee, the most frequently searched job titles are:

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Bioinformatics Engineer jobs near you
Infographic showing various Bioinformatics Engineer job openings in Tennessee as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $118,946 per year, or $57.2 per hour.

Digital Chemistry Specialist - Remote

micro1 AI

Nashville, TN • Remote

$90 - $120/hr

Part-time

Posted 22 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

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