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Bioinformatics Data Analyst Jobs in Texas (NOW HIRING)

Bioinformatics Pipeline Test Engineer Domain EXP : (Healthcare Domain) Experience: 2+ Years of exp ... data, AWS healthomics, Nextflo Type experience working on secondary analysis pipelines Essential ...

Bioinformatician A

Center, TX · On-site

$57K - $89K/yr

The position focuses on genomic data analysis, bioinformatics pipeline development, and computational analysis of large-scale biobank datasets to study cardiovascular disease genetics. Primary ...

... data analysis * Demonstrated proficiency in R and/or Python, SQL, Linux/Unix environments, and common bioinformatics workflows Education * Master's degree in Bioinformatics, Computational Biology ...

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Bioinformatics Data Analyst information

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$6

$42

$76

How much do bioinformatics data analyst jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for bioinformatics data analyst in Texas is $42.69, according to ZipRecruiter salary data. Most workers in this role earn between $33.61 and $45.67 per hour, depending on experience, location, and employer.

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

To thrive as a Bioinformatics Data Analyst, a solid background in biology, statistics, and programming (often with a degree in bioinformatics, computational biology, or a related field) is essential. Proficiency with tools such as R, Python, SQL, and bioinformatics software like BLAST or Bioconductor, as well as experience with large datasets and relevant certifications, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help analysts interpret complex data and collaborate with interdisciplinary teams. These skills ensure accurate data analysis, meaningful biological insights, and successful project outcomes in research or clinical settings.

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

AspectBioinformatics Data AnalystBioinformatics Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fieldsMaster's or PhD in Bioinformatics, Computational Biology, or related fields
Work EnvironmentData analysis teams, research labs, healthcare settingsResearch projects, development of algorithms, scientific publications
Employer & Industry UsageBiotech companies, healthcare institutions, research organizationsAcademic institutions, biotech firms, pharmaceutical companies
Common Search & ComparisonOften compared for data analysis roles in bioinformaticsMore research-focused, involved in algorithm development

Bioinformatics Data Analysts primarily focus on analyzing biological data using existing tools, while Bioinformatics Scientists develop new algorithms and conduct research. Both roles require strong computational skills, but the Scientist role typically involves more advanced research and innovation.

How do bioinformatics data analysts collaborate with researchers and other team members?

Bioinformatics Data Analysts often work closely with biologists, clinicians, and software engineers, acting as a bridge between experimental research and computational analysis. Collaboration usually involves interpreting experimental data, discussing analytical approaches, and presenting findings in a way that's accessible to non-technical stakeholders. Regular team meetings and project updates are common, and strong communication skills are essential for translating complex data insights into actionable information for the broader research team. This multidisciplinary teamwork fosters innovation and ensures that analyses align with the goals of larger research projects.

What is a bioinformatics data analyst?

Bioinformatics Data Analysts are professionals who use computational tools and methods to analyze biological data, such as genomic sequences or protein structures. They work at the intersection of biology, computer science, and statistics to interpret complex datasets and draw meaningful insights for research or clinical applications. Their work supports areas like drug discovery, personalized medicine, and evolutionary biology. Typically, they collaborate with biologists, software engineers, and statisticians to solve complex biological problems. Strong analytical skills and proficiency with data analysis software are essential for this role.
What cities in Texas are hiring for Bioinformatics Data Analyst jobs? Cities in Texas with the most Bioinformatics Data Analyst job openings:
Infographic showing various Bioinformatics Data Analyst job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $88,794 per year, or $42.7 per hour.

Bioinformatics Pipeline Test Engineer

Vytwo

Prosper, TX • On-site

Full-time

Re-posted 8 days ago


Job description

Position Title: Bioinformatics Pipeline Test Engineer
 Domain EXP: (Healthcare Domain)
Experience: 2+ Years of exp
 Location: San Diego CA “Onsite client office”
Duration: 6 Months
JD in brief:
For these candidates, it’s imperative to have NGS pipeline experience or education. Working with Illumina sequencing data, AWS healthomics, Nextflo Type experience working on secondary analysis pipelines
 
Essential Duties:
  • VERIFICATION AND VALIDATION
    •  With direction and guidance from the team lead, help with verification and validation protocols and generate test reports for multiple software solutions used in medical devices and LDT products. 
    • Aid in translation of user and software requirements into executable software verification and validation protocols focusing on various aspects of the software lifecycle.
    • Collaborate with bioinformatics scientists and operations to identify test inputs and understand the development of algorithmic test strategy, testing tools, and testing methodology.
    • Test product functionality and/or confirm product capabilities. 
  • DESIGN CONTROLS 
    1. With direction and guidance from the team lead, help with design controls and appropriate software documentation (e.g. software requirements and/or specifications, architecture documents, software design details doc) for medical device software lifecycle. 
    2. Learn and apply best practices for LDT software and create and manage all applicable documentation. 
    3. Participate in risk assessments for software products, including identification of potential risk mitigations and traceability to software requirements. 
    4. Help with the creation of software documentation, compatible with regulatory requirements. 
  • Utilizing standardized procedures and practices, work on assignments individually and with project team members to achieve department and project objectives and meet deadlines.
  • Exercise excellent verbal and written communication skills with the ability to communicate basic technical information.
  • Work towards challenging goals in a fast-moving environment.
  • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
  • Support and comply with the company’s Quality Management System policies and procedures.
  • Maintain regular and reliable attendance.
  • Ability to act with an inclusion mindset and model these behaviors for the organization.
  • Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 90% of a typical working day.
  • Ability and means to travel 10% between local Exact Sciences locations. 
  • Ability to travel 5% of working time away from work location, may include overnight/weekend/international travel. 
 Minimum Qualifications
  • B.S. Degree in Computational Biology, Computer Science, or field as outlined in the essential duties. 
  • Familiarity with the development of bioinformatics pipelines within Next Generation Sequencing and PCR applications.
  • Familiarity with production software development lifecycle.
  • Familiarity with best practices for software development (such as Git, agile, code reviews, CI/CD). 
  • Ability to effectively communicate software system designs. 
  • Excellent communication skills (both written and oral) with the ability to communicate complicated ideas and information effectively at all levels. 
  • Demonstrated ability to perform the essential duties of the position with or without accommodation.
 Preferred Qualifications
  • Experience with programming languages, ideally Python. 
  • Familiar with automated software testing, preferably in the context of medical devices software such as bioinformatics analysis pipelines. 
  • Familiarity with container orchestration concepts and systems, e.g. Docker, Kubernetes, etc. 
  • Familiar working with cloud platforms (AWS, GCP, Azure).
  • Familiarity within an FDA-Regulated, Medical Device, Pharmaceutical, Biotech, or other regulated industry, developing CFR 21 Part 11 and IEC 62304 compliant software. 
  • Familiarity with medical device requirements such as Quality System Regulation (21 CFR part 820) ISO 14971 Medical Device Risk Management, ISO 13485, etc. Work experience is strongly preferred. 
  • Familiarity with bioinformatics analysis pipeline frameworks. 
  • Familiarity with software related Cybersecurity risk management such as FDA Cybersecurity guidance, IEC27000 series, IEC 15408, etc. as well as software audits is a plus.
Familiar with managing requirements in a validated RM tool such as JAMA, DOORS, etc.