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Hourly Computer Science Bioinformatics Jobs in Round Rock, TX

Kforce Technology Staffing

Data Scientist

Austin, TX · On-site

Bachelor's degree in a technical field such as Computer Science, Computer Engineering or related ... Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a ...

Stryker

Data Science Intern - Remote

Austin, TX · On-site

$35/hr

... Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ... Posted Date: 09/01/2026 This role will be posted for a minimum of 3 days. $20 min hourly wage - $35 ...

Stryker

Data Science Intern - Remote

Austin, TX · On-site

$35/hr

... Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ... Posted Date: 09/01/2026 This role will be posted for a minimum of 3 days. $20 min hourly wage - $35 ...

Infosys Limited

Associate - Campus

Austin, TX · On-site

$60 - $80/hr

Computer Science * Information Technology * Software Engineering * Data Science, Computer Engineering, or other related fields Candidates authorized to work for any employer in the United States ...

Luminoustec LLC

Senior Full Stack Developer

Austin, TX · On-site

... in Computer Science, Information Systems, or related field and/or relevant experience ... hourly rate and best time to reach you. Please note: * Client will not pay relocation cost We look ...

Luminoustec LLC

Senior Full Stack Developer

Austin, TX · On-site

... in Computer Science, Information Systems, or related field and/or relevant experience ... hourly rate and best time to reach you. Please note: * Client will not pay relocation cost We look ...

DoorDash

Analytics Engineer, Data Science

Austin, TX · On-site

A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain * 2-6+ ... For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 ...

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

As of Sep 7, 2026, the average hourly pay for hourly computer science bioinformatics in Round Rock, TX is $39.90, according to ZipRecruiter salary data. Most workers in this role earn between $39.66 and $40.14 per hour, depending on experience, location, and employer.

What is an hourly Computer Science Bioinformatics?

An Hourly Computer Science Bioinformatics job involves applying computer science techniques to solve biological data problems, such as analyzing DNA sequences or managing large biological datasets. These roles are typically temporary or contract-based, where individuals are paid by the hour rather than salaried. Bioinformaticians in these positions may work on tasks like developing algorithms, writing code for data analysis, or supporting research projects. The flexibility of hourly work allows companies to hire experts for specific projects or periods of need.

What are the key skills and qualifications needed to thrive as an hourly Computer Science Bioinformatics professional?

To thrive as an Hourly Computer Science Bioinformatics professional, you need a strong background in computer science, programming (such as Python or R), and a solid understanding of biological data analysis, often supported by a degree in bioinformatics, computer science, or related fields. Familiarity with bioinformatics tools (e.g., BLAST, Bioconductor), databases, and version control systems like Git is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and collaborate with interdisciplinary teams. These skills and qualities are crucial for generating accurate insights from biological datasets and driving successful research outcomes.

What types of projects might I work on as an hourly Computer Science Bioinformatics professional?

As an hourly Computer Science Bioinformatics professional, you can expect to be involved in projects such as analyzing large-scale biological datasets, developing bioinformatics tools or pipelines, and supporting research teams with data processing tasks. Your work may include tasks like writing scripts to automate data analysis, maintaining databases of genetic information, or collaborating with biologists to interpret results. The variety and scope of projects will often depend on the organization's focus—whether it's genomics, proteomics, or clinical research—and you may find yourself working both independently and as part of multidisciplinary teams.

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For Hourly Computer Science Bioinformatics jobs in Round Rock, TX, the most frequently searched job titles are:

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Hourly Computer Science Bioinformatics jobs near you
Infographic showing various Hourly Computer Science Bioinformatics job openings in Round Rock, TX as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, 2% Contract, and 1% Nights. Highlights an 67% Physical, 2% Hybrid, and 31% Remote job distribution, with an average salary of $82,995 per year, or $39.9 per hour.

Bioinformatics Full-Stack Developer

Signature Science, LLC

Austin, TX

Full-time

Re-posted 25 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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