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Bioinformatics Data Analyst Jobs in Tennessee (NOW HIRING)

ORAU

Research Associate 2

Oak Ridge, TN · On-site +1

$35.19 - $48.95/hr

Demonstrated research experience in computational biology, data science, bioinformatics, biomedical informatics, molecular biology, or related field, including analysis of complex biomedical datasets ...

ORAU

Research Associate 2

Oak Ridge, TN · On-site +1

$35.19 - $48.95/hr

Demonstrated research experience in computational biology, data science, bioinformatics, biomedical informatics, molecular biology, or related field, including analysis of complex biomedical datasets ...

ORAU

Research Associate 2

Oak Ridge, TN · On-site +1

$35.19 - $48.95/hr

Demonstrated research experience in computational biology, data science, bioinformatics, biomedical informatics, molecular biology, or related field, including analysis of complex biomedical datasets ...

Meharry Medical College

Postdoctoral Fellow

Nashville, TN · On-site

$47K - $64K/yr

Computational and statistical analysis of genomic and biomedical data (40%) * Development of AI/ML methods and bioinformatics pipelines (30%) * Manuscript preparation, presentations, and grant ...

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How much do bioinformatics data analyst jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for bioinformatics data analyst in Tennessee is $41.59, according to ZipRecruiter salary data. Most workers in this role earn between $32.74 and $44.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Bioinformatics Data Analyst, and why are they important?

To thrive as a Bioinformatics Data Analyst, a solid background in biology, statistics, and programming (often with a degree in bioinformatics, computational biology, or a related field) is essential. Proficiency with tools such as R, Python, SQL, and bioinformatics software like BLAST or Bioconductor, as well as experience with large datasets and relevant certifications, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help analysts interpret complex data and collaborate with interdisciplinary teams. These skills ensure accurate data analysis, meaningful biological insights, and successful project outcomes in research or clinical settings.

What is the difference between Bioinformatics Data Analyst vs Bioinformatics Scientist?

AspectBioinformatics Data AnalystBioinformatics Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fieldsMaster's or PhD in Bioinformatics, Computational Biology, or related fields
Work EnvironmentData analysis teams, research labs, healthcare settingsResearch projects, development of algorithms, scientific publications
Employer & Industry UsageBiotech companies, healthcare institutions, research organizationsAcademic institutions, biotech firms, pharmaceutical companies
Common Search & ComparisonOften compared for data analysis roles in bioinformaticsMore research-focused, involved in algorithm development

Bioinformatics Data Analysts primarily focus on analyzing biological data using existing tools, while Bioinformatics Scientists develop new algorithms and conduct research. Both roles require strong computational skills, but the Scientist role typically involves more advanced research and innovation.

How do Bioinformatics Data Analysts typically collaborate with researchers and other team members in a multidisciplinary environment?

Bioinformatics Data Analysts often work closely with biologists, clinicians, and software engineers, acting as a bridge between experimental research and computational analysis. Collaboration usually involves interpreting experimental data, discussing analytical approaches, and presenting findings in a way that's accessible to non-technical stakeholders. Regular team meetings and project updates are common, and strong communication skills are essential for translating complex data insights into actionable information for the broader research team. This multidisciplinary teamwork fosters innovation and ensures that analyses align with the goals of larger research projects.

What are Bioinformatics Data Analysts?

Bioinformatics Data Analysts are professionals who use computational tools and methods to analyze biological data, such as genomic sequences or protein structures. They work at the intersection of biology, computer science, and statistics to interpret complex datasets and draw meaningful insights for research or clinical applications. Their work supports areas like drug discovery, personalized medicine, and evolutionary biology. Typically, they collaborate with biologists, software engineers, and statisticians to solve complex biological problems. Strong analytical skills and proficiency with data analysis software are essential for this role.
What are popular job titles related to Bioinformatics Data Analyst jobs in Tennessee? For Bioinformatics Data Analyst jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Data Analyst jobs in Tennessee look for? The top searched job categories for Bioinformatics Data Analyst jobs in Tennessee are:
What cities in Tennessee are hiring for Bioinformatics Data Analyst jobs? Cities in Tennessee with the most Bioinformatics Data Analyst job openings:
Bioinformatics Data Analyst jobs near you
Infographic showing various Bioinformatics Data Analyst job openings in Tennessee as of July 2026, with employment types broken down into 68% Full Time, 6% Part Time, and 26% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution, with an average salary of $86,503 per year, or $41.6 per hour.
Bioinformatics Analyst, Senior

Bioinformatics Analyst, Senior

Vanderbilt University

Nashville, TN • On-site

Full-time

Posted yesterday

Vanderbilt University rating

8.0

Company rating: 8.0 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

183rd of 612 rated colleges and universities

Job description


The Senior Bioinformatics Analyst is part of the Creative Data Solutions (CDS) Shared Resource at Vanderbilt University and serves as a senior-level contributor responsible for leading bioinformatics analyses of genomic data sets, developing and implementing advanced transcriptomic statistical models, and directing research studies. This position requires that the ideal candidate will have extensive experience in analyzing large-scale genomic and transcriptomic data, including next-generation sequencing data, and deep expertise in statistical analysis methods involved with such data. The candidate should demonstrate leadership capabilities, mentor junior team members, and possess exceptional communication and problem-solving skills. Reporting directly to the Director of CDS, the Senior Bioinformatics Analyst will lead collaborations with investigators throughout the Vanderbilt community on multiple complex projects simultaneously.
About the Work Unit:
Creative Data Solutions (CDS), a Vanderbilt University Shared Resource, provides informatics and bioinformatics services to investigators in the fields of academic and clinical research, with an emphasis on life sciences. CDS blends modern data science approaches with robust software and database engineering to provide practical solutions to problems and challenges faced by research investigators in a timely and cost-effective fashion.
Key Functions and Expected Performance:
  • Acts as a specialist in the analysis and interpretation of large-scale genomic and transcriptomic data sets using advanced bioinformatics tools and methods. Modalities include both bulk and single-cell RNA-Seq, DNA-Seq, chromatin binding analysis (CUT&RUN, ChIP-Seq, ATAC-Seq, etc.), spatial transcriptomics (10X Visium/HD, Nanopore GeoMX), and ad hoc bioinformatics.
  • Designs and develop complex sophisticated statistical models.
  • Leads the design and execution of research studies involving genomic and transcriptomic data.
  • Directs groups to conduct collaborative efforts with team members to interpret and present research findings.
  • Maintains expertise in the latest developments in bioinformatics, genomics, and transcriptomics.
  • Architects and maintain robust pipelines for processing and analyzing large-scale genomic data sets.
  • Supervises and coordinates with bioinformatics and laboratory personnel to ensure the quality and accuracy of genomic data.
  • Leads the interpretation and visualization of genomic data and prepares comprehensive reports and presentations for research studies and publications.
  • Drives the development of novel analytical methods and techniques for genomic data analysis.
  • Provides strategic bioinformatics leadership for clinical studies and trials involving genomic data.
  • Leads the development and implementation of data management and sharing policies for genomic data.
  • Mentors and trains team members and collaborators on advanced bioinformatics tools and methods.
  • Represents the organization at scientific conferences, workshops, and training programs to maintain cutting-edge knowledge in bioinformatics, genomics, and transcriptomics.
  • Coordinates externally with partners and stakeholders, such as academic and industry researchers, regulatory agencies, and patient advocacy groups, on research projects and initiatives.
  • Handles project timelines, resource allocation, and deliverable quality across multiple concurrent projects, while auditing processes to ensure compliance and efficiency.

Supervisory Relationships:
  • This position does not have supervisory responsibilities; this position reports administratively and functionally to the Director of CDS.

Education and Certifications:
  • Ph.D. degree in bioinformatics, computational biology, genetics, statistics, or a related field is required with at least 8 or more years of experience

Experience and Skills:
  • Post-doctoral experience or skill is preferred.
  • Experience with BioVU would be an added benefit.
  • Experience with long read RNA-Seq would be a strong advantage.
  • Background or experience in bioinformatics and a strong understanding of statistics is required.
  • Proficiency in programming languages R and Python
  • Knowledge of statistical analysis methods for genomic data, including GWAS, rare variant analysis, and eQTL analysis.
  • Familiarity with common bioinformatics tools and databases, such as Ensembl, UCSC Genome Browser, and dbGaP.
  • Familiarity with HPC and cloud computing infrastructure.
  • Excellent communication and problem-solving skills.
  • Ability to work independently and as part of a team

About Us
At Vanderbilt University , our work - regardless of title or role - is in service to an important and noble mission in which every member of our community serves in advancing knowledge and transforming lives on a daily basis. Located in Nashville, Tennessee, on a 330+ acre campus and arboretum dating back to 1873, Vanderbilt is proud to have been named as one of "America's Best Large Employers" as well as a top employer in Tennessee and the Nashville metropolitan area by Forbes for several years running. We welcome those who are interested in learning and growing professionally with an employer that strives to create, foster and sustain opportunities as an employer of choice.
We understand you have a choice when choosing where to work and pursue a career. We understand you are unique and have a story. We want to hear it. We encourage you to apply today so that you might become a part of our story.
Vanderbilt University is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran, or any other characteristic protected by law.

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