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Dry Lab Jobs in Texas (NOW HIRING)

Adams Clinical

Laboratory Technician

Dallas, TX

$18.75 - $25/hr

Maintain inventory of lab kits, phlebotomy supplies, PPE, dry ice, and shipping materials. * Prepare lab kits, requisition forms, and all necessary laboratory documentation prior to participant ...

Adams Clinical

Laboratory Technician

Dallas, TX · On-site

$18.75 - $25/hr

Maintain inventory of lab kits, phlebotomy supplies, PPE, dry ice, and shipping materials. * Prepare lab kits, requisition forms, and all necessary laboratory documentation prior to participant ...

Adams Clinical

Laboratory Technician

Dallas, TX · On-site

$18.75 - $25/hr

Maintain inventory of lab kits, phlebotomy supplies, PPE, dry ice, and shipping materials. * Prepare lab kits, requisition forms, and all necessary laboratory documentation prior to participant ...

Adams Clinical

Laboratory Technician

Dallas, TX · On-site

$18.75 - $25/hr

Maintain inventory of lab kits, phlebotomy supplies, PPE, dry ice, and shipping materials. * Prepare lab kits, requisition forms, and all necessary laboratory documentation prior to participant ...

Adams Clinical

Laboratory Technician

Dallas, TX

$18.75 - $25/hr

Maintain inventory of lab kits, phlebotomy supplies, PPE, dry ice, and shipping materials. * Prepare lab kits, requisition forms, and all necessary laboratory documentation prior to participant ...

Albemarle Corporation

Lead Metallurgist

Houston, TX · On-site

$100 - $140/hr

Focused areas of responsibility would include managing all dry processes all the way from ROM pad ... Responsible for building and training the assay lab team and implementing the QA/QC processes to ...

New

HighGround

Entry Level Restoration Technician

Irving, TX · On-site

$16 - $20/hr

Dry Force is hiring a Entry Level Restoration Technician for a full-time position in Dallas, Texas - No Experience Required - Willing to Train. As a Entry Level Restoration Technician, you will be in ...

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Dry Lab information

What is a dry lab?

Dry lab jobs involve computational and theoretical research, rather than traditional wet lab work with chemicals or biological samples. Professionals in dry labs use computer simulations, data analysis, and mathematical modeling to solve scientific problems in fields like physics, chemistry, or biology. These roles are essential for managing large datasets, predicting outcomes, and developing new hypotheses that can later be tested in wet labs. Common positions in a dry lab include bioinformaticians, computational chemists, and data scientists.

What skills and qualifications are needed to work in a dry lab?

To thrive as a Dry Lab Technician, you need a solid background in data analysis, computational modeling, and a relevant degree in fields such as bioinformatics, computer science, or engineering. Expertise in statistical software, programming languages (like Python or R), and familiarity with laboratory information management systems (LIMS) are typically required. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and collaborate with multidisciplinary teams. These skills are crucial for ensuring accurate data management, insightful analysis, and successful research outcomes in a laboratory setting.

What challenges do professionals face in a dry lab environment, and how can they be addressed?

In a dry lab setting, professionals often work with computational models, simulations, and data analysis rather than wet lab experiments. A common challenge is ensuring the accuracy and reliability of simulation results, which requires strong attention to detail and robust validation against experimental or reference data. Additionally, effective collaboration with wet lab teams is essential to interpret findings and guide future research. Staying updated with the latest computational tools and best practices can help address these challenges and support successful project outcomes.

What is the difference between Dry Lab vs Wet Lab?

AspectDry LabWet Lab
Work EnvironmentComputer-based, simulation, data analysisPhysical experiments, chemical or biological testing
Required SkillsProgramming, data modeling, computational skillsLaboratory techniques, chemical/biological handling
Common CertificationsNone specific, often advanced degrees in science or engineeringLab safety, technical certifications
Industry UsageResearch, data analysis, computational modelingExperimental research, product development

Dry Lab roles focus on computational work, data analysis, and simulations, often requiring programming skills and advanced degrees. Wet Lab roles involve hands-on experiments and physical testing in laboratory settings. Both are essential in scientific research but differ significantly in environment and skill set.

What are popular job titles related to Dry Lab jobs in Texas?

For Dry Lab jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Dry Lab jobs in Texas look for?

The top searched job categories for Dry Lab jobs in Texas are:

What cities in Texas are hiring for Dry Lab jobs?

Cities in Texas with the most Dry Lab job openings:

Dry Lab jobs near you
Infographic showing various Dry Lab job openings in Texas as of August 2026, with employment types broken down into 64% Full Time, 14% Part Time, and 22% Contract. Highlights an 100% In-person job distribution.

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

Vytwo

Dallas, TX • On-site

$105 - $145/hr

Other

Medical, Life

Posted 9 days ago

Key responsibilities

  • Design, develop, and maintain automated test suites for genomics and life sciences applications.

  • Build and execute test plans, test cases, and regression suites to verify application outputs and data validation.

  • Validate software behavior against genomic science concepts and coordinate with lab teams to understand sample and data workflows.

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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