Research Technician I

RiseMe

College Station (TX)

On-site

USD 23,000 - 32,000

Part time

3 days ago
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Benefits offered by this job

Health insurance
Paid holidays
Paid sick leave
Tuition assistance

Job summary

Texas A&M University in College Station seeks a Research Technician I to support a spatial transcriptomics study. You will prepare data, implement models, and run simulations under faculty supervision, delivering reproducible Python code and visualizations for manuscripts.

The role requires 2 years of relevant experience and pays $20.00 per hour in a temporary/casual staff position within the Department of Statistics.

Qualifications

  • High school diploma or equivalent with experience.
  • 2 years of relevant experience.
  • BS in Statistics or applied mathematics is preferred.

Responsibilities

  • Provide computational and statistical support for research on spatial transcriptomics and cellular imaging.
  • Prepare research data, implement and evaluate statistical methods, and conduct simulations.
  • Create visualizations and maintain reproducible Python code and data-analysis workflows.
  • Assist with research reports and manuscripts and participate in meetings.

Skills

Python
Statistical analysis
Data preparation
Quality control
Research collaboration

Education

BS in Statistics

Tools

Python
R

Job description

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Role summary

Texas A&M University is seeking a Research Technician I for a temporary/casual staff position in the Department of Statistics. The role involves providing computational and statistical support for a research project focused on super resolution spatial transcriptomics and cellular imaging. Responsibilities include data preparation, quality checking, implementing statistical models, conducting simulation studies, developing reproducible Python code, and assisting with research documentation and manuscripts. The position requires 2 years of relevant experience and offers an hourly wage of $20.00.

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

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.

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

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

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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