ZipRecruiter

Log In

1

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

micro1 AI

Bioinformatics Software Engineer

Austin, TX · Remote

$80 - $110/hr

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

Aledade

Clinical Informaticist

Austin, TX · On-site

Working at the intersection of clinical knowledge and data engineering, you will collaborate with ... Bachelor's or Master's degree in Nursing, Medical/Health Informatics, Bioinformatics, or a related ...

Aledade PBC

Clinical Informaticist

Austin, TX · On-site

Working at the intersection of clinical knowledge and data engineering, you will collaborate with ... Bachelor's or Master's degree in Nursing, Medical/Health Informatics, Bioinformatics, or a related ...

Aledade PBC

Clinical Informaticist

Austin, TX · Remote

Working at the intersection of clinical knowledge and data engineering, you will collaborate with ... Bachelor's or Master's degree in Nursing, Medical/Health Informatics, Bioinformatics, or a related ...

Aledade PBC

Clinical Informaticist

Austin, TX · On-site +1

Working at the intersection of clinical knowledge and data engineering, you will collaborate with ... Bachelor's or Master's degree in Nursing, Medical/Health Informatics, Bioinformatics, or a related ...

AtOrchard LLC

Genetics (eDNA) Scientist

Austin, TX · On-site

Working with marine scientists, geoscientists, GIS specialists, engineers, and federal program ... Experience with eDNA workflows, genomics, bioinformatics, or biological data analysis. * Experience ...

Neuralink

Neuroengineer, Next Gen

Austin, TX · On-site

$122K - $226K/yr

A strong understanding of the scientific method and engineering first principles * Fluency with Python for data analysis Preferred Qualifications: * Experience with modern statistical inference and ...

next page

Showing results 1-20

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

Bioinformatics Data Engineer information

See Austin, TX salary details

$42.6K

$129.9K

$236.4K

How much do bioinformatics data engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for bioinformatics data engineer in Austin, TX is $129,901.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,200.00 and $155,600.00 per year, depending on experience, location, and employer.

What is a bioinformatics data engineer?

A Bioinformatics Data Engineer is a professional who designs, develops, and maintains data infrastructure for managing and analyzing large-scale biological data, such as genomics or proteomics datasets. They build pipelines and tools to process, store, and retrieve complex biological information efficiently. Their work enables researchers and scientists to access and interpret data for discoveries in fields like medicine, genetics, and biotechnology. Often, they collaborate closely with bioinformaticians, data scientists, and software engineers to support research initiatives.

How do bioinformatics data engineers typically collaborate with researchers and other teams in a biomedical organization?

Bioinformatics Data Engineers often work closely with biologists, data scientists, and software engineers to ensure the effective collection, processing, and analysis of complex biological data. They regularly participate in cross-functional meetings to understand research goals, develop data pipelines, and troubleshoot data-related issues. Collaboration is essential, as engineers must translate scientific requirements into technical solutions, provide data access and visualization tools, and support researchers in extracting meaningful insights from large datasets. This teamwork fosters a dynamic environment where communication and adaptability are key.

What are the key skills and qualifications needed to thrive as a bioinformatics data engineer, and why are they important?

To thrive as a Bioinformatics Data Engineer, you need a strong background in computer science, biology, and statistics, often supported by a relevant degree and experience in data engineering. Proficiency with programming languages (such as Python, R, or SQL), bioinformatics tools, cloud platforms, and big data frameworks (like Hadoop or Spark) is typically required. Strong problem-solving, collaboration, and communication skills help you work effectively across interdisciplinary teams and convey complex findings. These skills ensure accurate analysis, efficient data pipeline development, and meaningful insights that advance biological research and healthcare solutions.

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

AspectBioinformatics Data 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 EnvironmentData pipelines, database management, software developmentData interpretation, report generation, biological data analysis
Employer & Industry UsageBiotech companies, research labs, pharmaResearch institutions, healthcare, biotech
Common Search & ComparisonFocuses on data infrastructure and pipelinesFocuses on biological data interpretation

The main difference between a Bioinformatics Data Engineer and a Bioinformatics Analyst lies in their focus areas. Data Engineers build and maintain data pipelines and infrastructure, while Analysts interpret biological data to generate insights. Both roles require strong bioinformatics knowledge, but Data Engineers emphasize programming and data management, whereas Analysts focus on biological interpretation and reporting.

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

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

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

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

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

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

Bioinformatics Data Engineer jobs near you
Infographic showing various Bioinformatics Data Engineer job openings in Austin, TX as of September 2026, with employment types broken down into 70% Full Time, 11% Part Time, 9% Temporary, and 10% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $129,901 per year, or $62.5 per hour.

Bioinformatics Full-Stack Developer

Austin, TX • On-site

Signature Science, LLC
Scientific Research and Development Services • 51 - 200 employees
Learn more about Signature Science, LLCexternal

$105K/yr

Full-time

Re-posted 2 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.