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$34.5K

$115.9K

$191.9K

How much do genomics jobs pay per year?

As of Aug 30, 2026, the average yearly pay for genomics in Dallas, TX is $115,910.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,140.00 and $151,471.00 per year, depending on experience, location, and employer.

What is a genomics job?

A genomics job involves studying an organism's entire genetic makeup to understand gene functions, interactions, and variations. Professionals in this field work in research, healthcare, pharmaceuticals, or biotechnology, using advanced tools like sequencing technologies and bioinformatics. Their work can help in disease research, precision medicine, agriculture, and evolutionary biology. Common roles include genomic scientists, bioinformaticians, and clinical geneticists.

What are typical daily responsibilities for someone working in genomics?

Professionals in Genomics typically spend their days designing experiments, preparing and processing biological samples, and conducting analyses using high-throughput sequencing technologies. They also interpret large datasets using specialized bioinformatics tools, prepare reports or present findings to stakeholders, and collaborate with other scientists such as clinicians, computational biologists, or data analysts. The work environment can be a mix of laboratory work and computational data analysis, depending on the specific position. Regular team meetings and collaboration are common, especially in research or clinical settings where interdisciplinary problem-solving is essential.

What are the key skills and qualifications needed to thrive in the genomics position, and why are they important?

To thrive in a Genomics role, you need a strong background in molecular biology, genetics, and bioinformatics, typically supported by an advanced degree in a life science and relevant laboratory experience. Proficiency with genomic sequencing platforms (such as Illumina or Oxford Nanopore), data analysis software, and experience with databases like NCBI or Ensembl are commonly required. Critical thinking, attention to detail, and collaborative communication are essential soft skills for interpreting complex data and working within multidisciplinary teams. These competencies are important for ensuring accurate genetic analysis, driving research projects, and making meaningful scientific contributions.

Does genomics pay well?

Genomics professionals, such as genomic scientists and bioinformaticians, typically earn competitive salaries that vary based on experience, education, and location. Entry-level positions may start around $50,000 to $70,000 annually, while experienced specialists can earn over $100,000, especially with advanced skills in data analysis and laboratory techniques.

Is genomics a good career?

Genomics is a growing field that involves studying an organism's complete set of DNA. Careers in genomics often require strong skills in molecular biology, bioinformatics, and laboratory techniques, with opportunities in research, healthcare, and biotechnology sectors. The field offers competitive salaries and demand for skilled professionals is expected to increase with advances in personalized medicine and genetic research.

What jobs can you get with a genomics degree?

A genomics degree can lead to roles such as genomic researcher, bioinformatics analyst, laboratory technician, or clinical geneticist. These jobs often require skills in molecular biology, data analysis, and familiarity with sequencing technologies and software tools.

What skills do you need for genomics?

Genomics professionals need strong skills in molecular biology, genetics, and bioinformatics, including proficiency with data analysis tools and programming languages like Python or R. Attention to detail, problem-solving abilities, and knowledge of laboratory techniques are also essential for success in the field.

What are the most commonly searched types of Genomics jobs in Dallas, TX?

The most popular types of Genomics jobs in Dallas, TX are:

What are popular job titles related to Genomics jobs in Dallas, TX?

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

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

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

What cities near Dallas, TX are hiring for Genomics jobs?

Cities near Dallas, TX with the most Genomics job openings:

Genomics jobs near you
Infographic showing various Genomics job openings in Dallas, TX as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $115,910 per year, or $55.7 per hour.

Automation QA Engineer - Genomics / Bioinformatics - San Diego CA - Onsite Day One

Vytwo

Dallas, TX • On-site

$105 - $145/hr

Other

Medical, Life

Posted 4 days ago

Job description

Title: Automation QA Engineer – Genomics / Bioinformatics

Domain: Bioinformatics

Location: San Diego, CA - Onsite Day One

Duration: 6 Months

Job Description: We are hiring an Automation QA Engineer to test software systems used in genomics and life sciences workflows. This is a quality engineering role, not a bioinformatics pipeline development role: you will design, build, and execute automated and manual test coverage for platforms that process genomic and laboratory data, and you will validate that results align with real wet lab and dry lab processes. Strong Python-based test automation skills are essential; genomics/BioE domain knowledge is what separates a good tester on this platform from a great one.

Key Responsibilities
  • Design, develop, and maintain automated test suites (Python-based) for applications supporting genomics, sequencing, and life sciences data workflows.
  • Build and execute test plans, test cases, and regression suites covering functional, integration, and data‑validation testing — no pipeline‑building responsibility; the focus is verifying pipeline/application outputs, not authoring bioinformatics pipelines.
  • Validate software behavior against genomic science concepts (e.g., sequencing data types, variant calling outputs, sample-to-result traceability) to confirm results are scientifically and technically correct.
  • Coordinate directly with wet lab and dry lab teams to understand sample lifecycle, instrument outputs, and data handoffs, and translate that understanding into test scenarios.
  • Test integrations with LIMS (Laboratory Information Management Systems), ensuring sample tracking, chain‑of‑custody, and result reporting behave correctly end‑to‑end.
  • Identify, document, and track defects; partner with engineering and product teams on root‑cause analysis and resolution.
  • Contribute to test strategy for healthcare/life sciences compliance considerations (e.g., data integrity, audit trail, traceability) in partnership with QA leadership.
  • Continuously improve automation frameworks, CI/CD test integration, and test data management practices.
Required Qualifications

Education: Bachelor's or Master's degree in Computer Science, Bioinformatics, Bioengineering, or a closely related field.

Experience & Technical Skills
  • 3+ years of experience in QA / test automation, with hands‑on Python scripting for test frameworks (e.g., pytest, unittest, Robot Framework).
  • Working knowledge of genomics science fundamentals — sequencing concepts, sample-to‑data lifecycle, common file/data formats used in genomics.
  • Demonstrated experience in Life Sciences or Biotech software environments (not general enterprise QA alone).
  • Direct exposure to wet lab and/or dry lab environments, with the ability to coordinate testing activities against real lab processes and instrument/data outputs.
  • Experience testing or interacting with LIMS platforms.
  • Comfortable working without owning pipeline construction — this role validates genomics data/software outputs; it does not develop bioinformatics pipelines.
Preferred / Bonus Qualifications
  • Prior experience specifically as an Automation QE within a Bioinformatics organization.
  • Familiarity with cloud‑based genomics platforms or data lakes used in life sciences software.
  • Exposure to regulatory/compliance frameworks relevant to healthcare and life sciences software (e.g., HIPAA, CLIA, CAP, 21 CFR Part 11) — awareness level, not ownership.
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