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Bioinformatics Engineering Jobs in Dallas, TX (NOW HIRING)

Vytwo

Bioinformatics Pipeline Test Engineer

Prosper, TX · On-site

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 ...

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Bioinformatics Engineering information

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$42.5K

$129.6K

$235.9K

How much do bioinformatics engineering jobs pay per year?

As of Sep 4, 2026, the average yearly pay for bioinformatics engineering in Dallas, TX is $129,642.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,000.00 and $155,300.00 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 are popular job titles related to Bioinformatics Engineering jobs in Dallas, TX?

For Bioinformatics Engineering jobs in Dallas, TX, the most frequently searched job titles are:

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

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

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

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

Bioinformatics Engineering jobs near you
Infographic showing various Bioinformatics Engineering job openings in Dallas, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $129,642 per year, or $62.3 per hour.

Bioinformatics Pipeline Test Engineer

Vytwo

Prosper, TX • On-site

Full-time

Re-posted 6 days ago

Key responsibilities

  • Help with verification and validation protocols and generate test reports for software solutions used in medical devices and LDT products.

  • Assist in translating user and software requirements into executable verification and validation protocols, focusing on various aspects of the software lifecycle.

  • Support the creation of design controls and software documentation, participate in risk assessments, and ensure compliance with regulatory requirements.

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.