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Freelance Computer Science Bioinformatics Jobs in Austin, TX

A degree in Computer Science or a related field is a plus. * Fresh graduates and candidates with 0 ... Craft compelling bids, tailored to client needs, on various freelance platforms * Utilize LinkedIn ...

Neuroengineer, Next Gen

Austin, TX ยท On-site

$122K - $226K/yr

Our team consists of scientists and engineers, working closely together to define the engineering ... brain-computer interface Expected Compensation: The anticipated base salary for this position is ...

Freelance Computer Science Bioinformatics information

See Austin, TX salary details

$9

$30

$52

How much do freelance computer science bioinformatics jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for freelance computer science bioinformatics in Austin, TX is $30.98, according to ZipRecruiter salary data. Most workers in this role earn between $11.92 and $50.05 per hour, depending on experience, location, and employer.

What is the difference between Freelance Computer Science Bioinformatics vs Freelance Data Scientist?

AspectFreelance Computer Science BioinformaticsFreelance Data Scientist
Required CredentialsBackground in bioinformatics, computer science, or related fields; often with biology or genetics knowledgeBackground in statistics, computer science, or data analysis; often with mathematics or engineering degrees
Work EnvironmentResearch labs, biotech companies, academic projects, or remote consultingBusiness, finance, tech firms, or consulting projects, often remote
Employer & Industry UsageHealthcare, biotech, pharmaceuticals, academiaFinance, tech, marketing, healthcare, and consulting

While both roles involve data analysis and programming, Freelance Computer Science Bioinformatics focuses on biological data and genetics, whereas Freelance Data Scientist covers a broader range of industries and data types. Both are in high demand for remote freelance work, but their specific expertise and industry focus differ.

What are the most commonly searched types of Computer Science Bioinformatics jobs in Austin, TX?

The most popular types of Computer Science Bioinformatics jobs in Austin, TX are:

What are popular job titles related to Freelance Computer Science Bioinformatics jobs in Austin, TX?

For Freelance Computer Science Bioinformatics jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Freelance Computer Science Bioinformatics jobs in Austin, TX look for?

The top searched job categories for Freelance Computer Science Bioinformatics jobs in Austin, TX are:

What cities near Austin, TX are hiring for Freelance Computer Science Bioinformatics jobs?

Cities near Austin, TX with the most Freelance Computer Science Bioinformatics job openings:

Infographic showing various Freelance Computer Science Bioinformatics job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $64,428 per year, or $31 per hour.

Bioinformatics Full-Stack Developer

Austin, TX โ€ข On-site

Signature Science, LLC
Scientific Research and Development Servicesย โ€ขย 51 - 200 employees

$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.