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Lab Trainee information

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$12

$18

$32

How much do lab trainee jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for lab trainee in Spring, TX is $18.82, according to ZipRecruiter salary data. Most workers in this role earn between $13.70 and $21.59 per hour, depending on experience, location, and employer.

What are some common challenges faced by Lab Trainees during their initial months, and how can they be addressed?

Lab Trainees often encounter challenges such as adapting to strict safety protocols, learning to use specialized equipment, and managing time efficiently amidst multiple tasks. It's normal to feel overwhelmed at first, but proactively seeking guidance from experienced team members and regularly reviewing standard operating procedures can ease the transition. Open communication with supervisors and participating in hands-on training sessions also help build confidence and competence in the lab environment.

What are the key skills and qualifications needed to thrive as a Lab Trainee, and why are they important?

To thrive as a Lab Trainee, you need a solid background in biological or chemical sciences, attention to detail, and often at least a bachelor’s degree in a relevant field. Familiarity with laboratory equipment, basic data analysis software, and adherence to safety protocols are typically required. Strong organizational skills, effective communication, and eagerness to learn help Lab Trainees excel and contribute positively to team dynamics. These skills ensure experiments are conducted accurately, safely, and efficiently, supporting reliable research outcomes.

What is the difference between Lab Trainee vs Lab Technician?

AspectLab TraineeLab Technician
Required CredentialsTypically pursuing or recently completed relevant education; no formal certification requiredUsually holds a diploma or certification in laboratory technology or related field
Work EnvironmentTraining setting, supervised, learning-focusedOperational laboratory environment, performing routine tests and procedures
Employer & Industry UsageEducational institutions, research labs, hospitals during trainingHospitals, diagnostic labs, research facilities

In summary, a Lab Trainee is primarily in a learning phase, gaining hands-on experience under supervision, while a Lab Technician is a trained professional responsible for conducting laboratory tests independently.

What are Lab Trainees?

Lab Trainees are individuals who are undergoing training in a laboratory setting to gain practical experience and develop essential skills in scientific research or testing. Their responsibilities often include assisting with experiments, preparing samples, maintaining equipment, and learning laboratory safety protocols. Lab Trainees work under the supervision of experienced scientists or technicians and may be students, recent graduates, or new employees. This position provides foundational experience necessary for a career in science or laboratory technology.
What are the most commonly searched types of Lab jobs in Spring, TX? The most popular types of Lab jobs in Spring, TX are:
What job categories do people searching Lab Trainee jobs in Spring, TX look for? The top searched job categories for Lab Trainee jobs in Spring, TX are:
What cities near Spring, TX are hiring for Lab Trainee jobs? Cities near Spring, TX with the most Lab Trainee job openings:
Lab Trainee jobs near you
Assistant / Associate Professor of Surgery - VITAL Lab (AI & Aortic Surgery Research)

Assistant / Associate Professor of Surgery - VITAL Lab (AI & Aortic Surgery Research)

Baylor College of Medicine

Houston, TX • On-site

Full-time

Posted 26 days ago

Baylor College of Medicine rating

8.6

Company rating: 8.6 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

56th of 553 rated colleges and universities

Job description

Assistant / Associate Professor of Surgery - VITAL Lab (AI & Aortic Surgery Research)
Division: Surgery
Work Arrangement:
Location: Houston, TX
Salary Range:
FLSA Status: Exempt
Work Schedule:
Baylor College of Medicine and Department Summary:
Baylor (www.bcm.edu) is recognized as one of the nation's premier academic health science centers and is known for excellence in education, research, and healthcare and community service. Located in the heart of the world's largest medical center (Texas Medical Center), Baylor is affiliated with multiple educational, healthcare and research affiliates (Baylor Affiliates).
Summary
Baylor College of Medicine is seeking an exceptional PhD-level AI researcher to serve as a founding leader of the Vascular Intelligence for Translational AI & Learning (VITAL) Lab-a newly funded, $14M initiative focused on transforming aortic surgery through advanced artificial intelligence, data science, and translational research.
This individual will be responsible for building the VITAL Lab from inception, establishing a state-of-the-art research infrastructure, and leading the development of innovative AI-enabled solutions to improve diagnosis, procedural planning, and outcomes in aortic disease.
The ideal candidate will combine deep technical expertise in AI delivery (computer vision, machine learning, multimodal data) with demonstrated experience in clinical research-preferably in cardiovascular, aortic surgery domains.
Job Duties
VITAL Lab Development & Leadership
  • Lead the end-to-end buildout of the VITAL Lab, including infrastructure, governance, and research roadmap
  • Develop a world-class AI research ecosystem aligned with Baylor Medicine's strategic priorities in vascular and aortic care
  • Oversee utilization of a $14M grant portfolio, ensuring execution against milestones, deliverables, and reporting requirements
  • Establish partnerships across surgery, radiology, cardiology, and computational sciences

AI & Data Platform Development
  • Design and deploy scalable AI pipelines for imaging, clinical, and genomic data
  • Lead development of a large-scale, high-quality aortic research database (imaging repository, clinical registry, biobank integration)
  • Implement machine learning, deep learning, and computer vision models for:
    • Aortic disease detection and classification
    • Surgical planning and simulation, including digital twin creation and computational fluid dynamic analysis
    • Outcomes prediction and risk stratification
  • Drive AI model deployment and real-world clinical integration

Research & Academic Contributions
  • Lead high-impact peer-reviewed publications in top-tier journals
  • Develop and submit extramural grant proposals (NIH, NSF, DoD, industry partnerships)
  • Present research at national and international conferences
  • Establish the VITAL Lab as a global leader in AI-driven aortic surgery research

Clinical & Translational Collaboration
  • Collaborate closely with vascular and aortic surgeons to translate clinical needs into AI solutions
  • Integrate AI tools into clinical workflows and surgical decision-making
  • Support the development of next-generation clinical trials leveraging AI insights

Education & Mentorship
  • Mentor trainees including PhD students, residents, fellows, and research staff
  • Develop educational programming in AI for surgery and translational data science

Minimum Qualifications
  • PhD in Computer Science, Biomedical Engineering, Data Science, or related field
  • Demonstrated expertise in machine learning, deep learning, and AI system development
  • Proven track record of peer-reviewed publications and research impact
  • Experience building or contributing to large-scale research datasets or platforms

Preferred qualifications:
  • Prior experience in cardiovascular disease research
  • Experience working in academic medical centers or translational research environments
  • Demonstrated success in AI deployment
  • Experience managing large research programs, labs, or grant-funded initiatives
  • Proficiency in medical imaging analysis (CT, MRI, 3D reconstruction)
  • Familiarity with regulatory frameworks (HIPAA, data governance, IRB)

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
Requisition ID: 25515

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