Hiring.Camp

Research Technician I

Tamus

·

Yesterday

Location
College Station, TX, United States of America
Type
Part-time
Department
IT
Education
High School
Closing date
Today
Source
Workday

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. 



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.

Skills

Python

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