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Bioinformatics Data Analyst Jobs in Austin, TX (NOW HIRING)

AtOrchard LLC

Genetics (eDNA) Scientist

Austin, TX · On-site

Experience with eDNA workflows, genomics, bioinformatics, or biological data analysis. * Experience supporting interdisciplinary ocean exploration programs. * Scientific publication or technical ...

Aledade

Clinical Informaticist

Austin, TX · On-site

$95 - $120/hr

Bachelor's or Master's degree in Nursing, Medical/Health Informatics, Bioinformatics, or a related field. * 5+ years in clinical informatics, healthcare data analysis, or health information ...

Aledade PBC

Clinical Informaticist

Austin, TX · Remote

Bachelor's or Master's degree in Nursing, Medical/Health Informatics, Bioinformatics, or a related field. * 5+ years in clinical informatics, healthcare data analysis, or health information ...

Aledade PBC

Clinical Informaticist

Austin, TX · On-site

Bachelor's or Master's degree in Nursing, Medical/Health Informatics, Bioinformatics, or a related field. * 5+ years in clinical informatics, healthcare data analysis, or health information ...

Aledade PBC

Clinical Informaticist

Austin, TX · On-site

Bachelor's or Master's degree in Nursing, Medical/Health Informatics, Bioinformatics, or a related field. * 5+ years in clinical informatics, healthcare data analysis, or health information ...

Neuralink

Neuroengineer, Next Gen

Austin, TX · On-site

$122K - $226K/yr

Fluency with Python for data analysis Preferred Qualifications: * Experience with modern statistical inference and machine learning, including for machine vision applications * Experience with neural ...

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All JobsBioinformatics Data Analyst JobsBioinformatics Data Analyst Jobs in Austin, TX

Bioinformatics Data Analyst information

See Austin, TX salary details

$6

$45

$82

How much do bioinformatics data analyst jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for bioinformatics data analyst in Austin, TX is $45.59, according to ZipRecruiter salary data. Most workers in this role earn between $35.87 and $48.80 per hour, depending on experience, location, and employer.

What is a bioinformatics data analyst?

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.

How do bioinformatics data analysts collaborate with researchers and other team members?

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 the key skills and qualifications needed to thrive as a bioinformatics data analyst?

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.

What are popular job titles related to Bioinformatics Data Analyst jobs in Austin, TX?

For Bioinformatics Data Analyst jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Data Analyst jobs in Austin, TX look for?

The top searched job categories for Bioinformatics Data Analyst jobs in Austin, TX are:

What cities near Austin, TX are hiring for Bioinformatics Data Analyst jobs?

Cities near Austin, TX with the most Bioinformatics Data Analyst job openings:

Bioinformatics Data Analyst jobs near you
Infographic showing various Bioinformatics Data Analyst job openings in Austin, TX as of August 2026, with employment types broken down into 71% Full Time, 7% Part Time, 4% Temporary, and 18% Contract. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $94,821 per year, or $45.6 per hour.

Bioinformatics Full-Stack Developer

Signature Science, LLC

Austin, TX • On-site

$105K/yr

Full-time

Re-posted 21 days ago

Job description

Position Purpose:   

The bioinformatics full-stack developer is responsible for building and maintaining a digital bridge between frontend user-facing applications and backend bioinformatics pipelines. This position will oversee the delivery of high-quality software capable of analyzing nucleotide sequence data to produce actionable and user-friendly reports. The ideal candidate will be prepared to oversee and contribute to the development of an integrated software stack for characterization of DNA sequencing data on local hardware systems. 
             

This position is a full-time, on-site role at the Signature Science office in Charlottesville, VA.

Essential Duties and Responsibilities:

  • Work with a team to develop and test full-stack software for analysis and interpretation of whole genome sequencing data, including front and back-end software components.
  • Implement and test data processing workflows and automated analysis pipelines. Optimize reproducible software pipelines that produce consistent, standardized results.
  • Oversee workflow bench marking and testing, identifying inconsistencies and resolving issues.
  • Contribute to management of computing hardware, operational logistics, and data warehousing.
  • Contribute to the preparation of standard operating procedures, document source code/workflows, and write reports to summarize computational requirements, processing status, and customized analysis results.
  • Communicate and interact regularly with project team members and stakeholders. 

Required Knowledge, Skills & Abilities:

  • Advanced proficiency working in a Unix/Linux environment.
  • Advanced proficiency using version control software (e.g., Git) to manage programming code.
  • Advanced proficiency with C++.
  • Proficiency in developing software user interfaces.
  • Proficiency with open-source software, tools, and databases for analyzing next-generation sequencing data.
  • Proficiency with at least one programming or run-time interpreted programming language.
  • Proficiency with Continuous Integration and Continuous Deployment/Delivery (CI/CD).
  • Experience managing a development project including multiple teams.
  • Familiarity with issue and project tracking software.
  • Skilled at time and priority management.
  • Excellent written and oral communication skills.
  • Preferred: Proficiency with Python.
  • Preferred: proficiency with R, RMarkdown, and the "tidyverse" tools for data analysis.
  • Preferred: Experience with NextFlow, SnakeMake, or similar workflow/pipeline management systems.
  • Preferred: Proficiency working with and developing using containerization technology.
  • Preferred: Familiarity with AWS and/or Azure cloud computing.

Education/Experience:

  • Required: 5+ years of previous work experience in a full-stack developer role
  • Required: BS/BA in Computer Science, Software Engineering, Bioinformatics, or related field
  • Preferred: MS or PhD in Computer Science, Software Engineering, Bioinformatics, or related field
  • Preferred: Experience managing and analyzing large-scale datasets produced by DNA sequencing platforms and delivering solutions for managing, visualizing, analyzing, and interpreting genomic data

Clearance:

  • This position requires that the candidate be willing and able to complete a successful background screening for a security clearance. Candidates with a current security clearance will receive preference.

 

Supervisory Responsibilities:

  • Serve as a task leader within one or more projects.

 

Working Conditions/ Equipment:

  • Ability to work in varying conditions to include traditional office environments with extended sedentary periods required for code development and testing.