ZipRecruiter

Log In

1

Bioinformatics Engineering Jobs in Austin, TX (NOW HIRING)

Apple

UEFI BIOS Engineer - Data Center HWE

Austin, TX · On-site

This is an excellent opportunity to make a significant impact and collaborate with highly skilled teams dedicated to engineering excellence. Your work will be instrumental in delivering features that ...

Apple

UEFI BIOS Engineer - Data Center HWE

Austin, TX

$150K - $277K/yr

This is an excellent opportunity to make a significant impact and collaborate with highly skilled teams dedicated to engineering excellence. Your work will be instrumental in delivering features that ...

Apple

UEFI BIOS Engineer - Data Center HWE

Austin, TX

$150K - $277K/yr

This is an excellent opportunity to make a significant impact and collaborate with highly skilled teams dedicated to engineering excellence. Your work will be instrumental in delivering features that ...

Neuralink

Neuroengineer, Next Gen

Austin, TX · On-site

$122K - $226K/yr

Our team consists of scientists and engineers, working closely together to define the engineering requirements for these future products. As a Neuroengineer on this team, you will contribute across a ...

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 ...

Aledade

Clinical Informaticist

Austin, TX · On-site

$95 - $120/hr

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 ...

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 ...

next page

Showing results 1-20

All JobsBioinformatics Engineering JobsBioinformatics Engineering Jobs in Austin, TX

Bioinformatics Engineering information

See Austin, TX salary details

$42.6K

$129.9K

$236.4K

How much do bioinformatics engineering jobs pay per year?

As of Sep 4, 2026, the average yearly pay for bioinformatics engineering 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 engineer?

A bioinformatics engineer is a professional who develops and applies computational tools and techniques to analyze and interpret biological data, such as DNA sequences or protein structures. They combine expertise in computer science, biology, and mathematics to create software, manage databases, and solve complex biological problems. Bioinformatics engineers often work in research, pharmaceuticals, healthcare, and biotechnology industries to help advance scientific discoveries and medical innovations.

What are the key skills and qualifications needed to thrive as a bioinformatics engineer?

To thrive as a Bioinformatics Engineer, you need a solid background in biology, computer science, and statistics, often supported by a degree in bioinformatics or a related field. Familiarity with programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, GATK), and proficiency with databases and cloud computing platforms are typically required. Strong problem-solving, analytical thinking, and collaboration skills set standout professionals apart in this interdisciplinary field. These competencies are crucial for effectively analyzing complex biological data and driving innovation in life sciences research.

How do bioinformatics engineers typically collaborate with biologists and data scientists in a research setting?

Bioinformatics engineers frequently work in cross-disciplinary teams, partnering closely with biologists to understand experimental goals and with data scientists to analyze complex datasets. Effective communication is key, as engineers must translate biological questions into computational workflows and interpret results in a way that is meaningful to non-technical team members. This collaborative approach not only accelerates research but also helps engineers gain a deeper understanding of biological processes, which can lead to more innovative solutions and professional growth.

What is the difference between Bioinformatics Engineering vs Bioinformatics Analyst?

AspectBioinformatics EngineeringBioinformatics 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 EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, healthcare, pharmaceutical companies
Employer & Industry UsageDevelops tools, pipelines, and software for data analysisInterprets data, generates reports, supports research projects

Bioinformatics Engineering focuses on developing software and pipelines for data processing, requiring programming expertise. In contrast, Bioinformatics Analysts primarily interpret data and generate insights, often with a stronger emphasis on biological knowledge. Both roles are vital in biotech and healthcare industries, but they differ in technical scope and daily tasks.

What do bioinformatics engineers do?

Bioinformatics engineers develop and implement computational tools and algorithms to analyze biological data, such as genetic sequences and molecular structures. They often work with programming languages like Python or R, utilize databases, and collaborate with biologists to interpret data for research and medical applications.

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

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

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

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

Bioinformatics Engineering jobs near you
Infographic showing various Bioinformatics Engineering job openings in Austin, TX as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $129,901 per year, or $62.5 per hour.

Bioinformatics Full-Stack Developer

Signature Science, LLC

Austin, TX • On-site

Full-time

Re-posted 22 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

Apply