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Bioinformatics Analyst Jobs (NOW HIRING)

E Logic

Bioinformatics Analyst

Atlanta, GA · On-site

$95K/yr

E-logic is hiring a Bioinformatics Scientist / Analyst to deliver specialized domain expertise in molecular epidemiology and viral sequence cluster analysis for Secure HIV-TRACE program from Centers ...

Theiagen Genomics

Bioinformatics Analyst I

Denver, CO · On-site +1

$70K - $80K/yr

Bioinformatics Analyst I Department: Bioinformatics Employment Type: Full Time Location: Remote-US Reporting To: Public Health Team Lead Compensation: $70,000 - $80,000 / year Description About the ...

Theiagen Genomics

Bioinformatics Analyst I

Denver, CO · On-site +1

$70K - $80K/yr

We are looking for a Bioinformatics Analyst to support development efforts to maintain and expand Theiagen's bioinformatics solutions, ensuring the core functionality and stability of our software ...

Theiagen Genomics

Bioinformatics Analyst I

Denver, CO · On-site +1

We are looking for a Bioinformatics Analyst to support development efforts to maintain and expand Theiagen's bioinformatics solutions, ensuring the core functionality and stability of our software ...

Allen Institute

Bioinformatics Analyst III

Seattle, WA · On-site

$105K - $130K/yr

Bioinformatics Analyst III - Neuroimmunology The mission of the Allen Institute is to unlock the complexities of bioscience and advance our knowledge to improve human health. Using an open science ...

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How much do bioinformatics analyst jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for bioinformatics analyst in the United States is $45.82, according to ZipRecruiter salary data. Most workers in this role earn between $36.06 and $49.04 per hour, depending on experience, location, and employer.

What Does a Bioinformatics Analyst Do?

A bioinformatics analyst works with large databases of omics data, such as genomics studies like the Human Genome Project. Your responsibilities in this career include research on the pathology of diseases and the development of experiments and algorithms to find cures. Your duties also involve ensuring compliance with all federal regulations and protocols. You may document your findings and present them at conferences as well. A career as a bioinformatics analyst requires advanced writing skills for writing scientific literature.

What is the difference between Bioinformatics Analyst vs Bioinformatics Technician?

AspectBioinformatics AnalystBioinformatics Technician
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related field; experience with data analysis toolsAssociate's or Bachelor's; focus on data processing and laboratory support
Work EnvironmentResearch labs, biotech companies, healthcare institutionsLaboratories, research facilities, academic settings
Employer & Industry UsageUsed in research, healthcare, biotech industries for data interpretationUsed for data collection, sample processing, and technical support roles

The main difference is that Bioinformatics Analysts focus on analyzing complex biological data and interpreting results, often requiring advanced degrees. Bioinformatics Technicians typically handle data collection, sample preparation, and technical tasks, supporting analysts and researchers. Both roles are essential in the biotech and healthcare industries, but they differ in responsibilities and required qualifications.

What are some common challenges faced by Bioinformatics Analysts when working with large genomic datasets?

One of the main challenges Bioinformatics Analysts encounter is managing and processing extremely large and complex genomic datasets, which often require advanced computational resources and efficient data management strategies. Ensuring data quality and accuracy while integrating information from various sources can also be demanding. Analysts frequently collaborate with biologists, clinicians, and IT professionals to interpret results and optimize workflows, which requires strong communication and interdisciplinary skills.

What does a Bioinformatics Analyst do?

A Bioinformatics Analyst uses computational and statistical methods to analyze biological data, such as DNA, RNA, or protein sequences. They interpret large datasets generated by experiments, develop algorithms, and create visualizations to help researchers understand complex biological processes. Their work supports scientific discoveries in fields like genomics, medicine, and agriculture, often collaborating with biologists, computer scientists, and other researchers.

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

To thrive as a Bioinformatics Analyst, you need a strong background in biology, statistics, and computer science, typically supported by a relevant bachelor's or master's degree. Familiarity with bioinformatics tools like BLAST, Python/R programming, and experience with databases such as GenBank or Ensembl are commonly required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for interpreting data and collaborating with multidisciplinary teams. These skills enable analysts to extract meaningful insights from complex biological data, driving research and innovation in genomics and healthcare.
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Bioinformatics Analyst jobs near you
Infographic showing various Bioinformatics Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $95,308 per year, or $45.8 per hour.
Bioinformatics Analyst, Senior

Bioinformatics Analyst, Senior

Vanderbilt University

Nashville, TN • On-site

Full-time

Re-posted 21 days ago

Vanderbilt University rating

8.0

Company rating: 8.0 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

165th of 555 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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