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Bioinformatics 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 ...

Varsity Tutors

Genetics Tutor

Round Rock, TX · Remote

$18 - $40/hr

Ability to explain linkage analysis, Hardy-Weinberg equilibrium, and gene regulation models while ... Adapts instruction using Punnett squares, pedigree practice sets, and bioinformatics tools to ...

Varsity Tutors

Genetics Tutor

Austin, TX · Remote

$18 - $40/hr

Ability to explain linkage analysis, Hardy-Weinberg equilibrium, and gene regulation models while ... Adapts instruction using Punnett squares, pedigree practice sets, and bioinformatics tools to ...

Varsity Tutors

Genetics Tutor

San Marcos, TX · Remote

$18 - $40/hr

Ability to explain linkage analysis, Hardy-Weinberg equilibrium, and gene regulation models while ... Adapts instruction using Punnett squares, pedigree practice sets, and bioinformatics tools to ...

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 ...

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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Bioinformatics Analyst information

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$45

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How much do bioinformatics analyst jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for bioinformatics 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 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 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.

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 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.

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Bioinformatics Analyst jobs near you
Infographic showing various Bioinformatics Analyst job openings in Austin, TX as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% 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

Full-time

Re-posted 23 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.
Employment Type: FULL_TIME

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