Research Technician I
Texas A&M University System
At a glance
Research Technician I with Texas A&M University System in College Station, TX. Posted Sep 22, 2026; closes Sep 26, 2026.
- Location
- College Station, TX
- Employment type
- Part-time
- Employer
- Texas A&M University System (university system)
- Posted
- Sep 22, 2026
- Closes
- Sep 26, 2026
Job Description
Job Title
Research Technician I
Agency
Texas A&M University
Department
Department Of Statistics
Proposed Minimum Salary
$20.00 hourly
Job Location
College Station, Texas
Job Type
Temporary/Casual Staff (Fixed Term)
Job Description
Here's a Glimpse of the Job
The Research Technician I will provide computational and statistical support for a research project involving super resolution spatial transcriptomics and cellular imaging. Under the supervision of the faculty member, the Research Technician I will prepare research data, implement and evaluate statistical methods, conduct simulation studies, create visualizations, maintain reproducible code, and assist with research reports and manuscripts.
Opportunities to Contribute:
Prepare, organize and quality-check spatial transcriptomics, imaging, and cell-segmentation data.
Conduct simulation studies and sensitivity analyses to assess model performance and robustness.
Prepare figures, tables, technical summaries, and research documentation.
Participate in research meetings and communicate progress to the principal investigator.
Implement and evaluate statistical models for subcellular RNA localization and segmentation error.
Develop and maintain reproducible Python code and data-analysis workflows.
Review relevant literature, and assist with reports, presentations and manuscripts.
Qualifications
High school diploma or equivalent combination of education and experience.
2 years of relevant experience.
A well-qualified candidate may also possess:
BS in Statistics or applied mathematics.
Experience in analyzing xenium/merfish/cosmc/seqfish+ data.
Experience in analyzing super resolution (subcellular level) spatial transcriptomics data, hierarchical statistical modeling, python/R.
Ability to multitask and work cooperatively with others.
Salary: $20.00 an hour
What You Need to Do:
Select the Apply button to begin your application.
Submitting a cover letter and resume is strongly recommended and will help us with the review process.
You may upload these documents on the application under CV/Resume.
Why Texas A&M University?
Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experiences. Embracing varying opinions and perspectives strengthens our
core
values
which are: Respect, Excellence, Leadership, Loyalty, Integrity, and Selfless Service.
The Department of Statistics at Texas A&M University is one of the leading Statistics departments in the country. Because of its global reputation, our faculty and students are consistently awarded honors, grants, and invited to present their research at international conferences. According to U.S. News rankings, our Graduate Degree is currently listed as the 6th best among the public universities in the nation for Statistics. Based on the quality of our program, Statistics at Texas A&M is rated higher than over half of the Ivy League Universities, including Yale and Columbia.
We are a prestigious university with strong traditions, Core Values, and a community of caring and collaboration. Amenities associated with a major university, such as sporting and cultural events, state-of-the-art recreation facilities, the Bush Library and Museum, and much more await you. Experience all that a big city has to offer but with a reasonable cost-of-living and no long commutes.
Medical,
prescription drug,
dental,
vision,
life and AD&D,
flexible spending accounts
,
and long-term disability insurance
with Texas A&M contributing to employee health and basic life premiums
12-15 days
of annual paid holidays
Up to
eight hours of paid sick leave
and at least
eight hours of paid vacation
each month
Automatic enrollment in the
Teacher Retirement System of Texas
Health and Wellness:
Free exercise programs and release time
Professional Development: All employees have access to free
LinkedIn Learning
training, webinars, and limited financial support to attend conferences, workshops, and more
Educational release time and tuition assistance
for completing a degree while a Texas A&M employee
Living Well,
a program at Texas A&M that has been built by employees, for employees
Instructions to Applicants:
Applications received by Texas A&M University must either have all job application data entered, or a resume attached. Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application. We encourage all applicants to upload a resume or use a LinkedIn profile to prepopulate the online application.
All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.
Equal Opportunity/Veterans/Disability Employer.
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