ZipRecruiter

Log In

1

Data Science Research Assistant Jobs in Texas (NOW HIRING)

MD Anderson

Research Assistant II

Houston, TX · On-site

$45K/mo

Genetics is a basic science department located in the George and Cynthia Mitchell Basic Sciences ... Data Management • Maintain detailed and accurate experimental records • Collect and organize ...

MD Anderson

Research Assistant II

Houston, TX

$27.16 - $32.69/hr

Genetics is a basic science department located in the George and Cynthia Mitchell Basic Sciences ... Data Management • Maintain detailed and accurate experimental records • Collect and organize ...

MD Anderson Center

Research Assistant II

Houston, TX · On-site

$27.16 - $32.69/hr

Genetics is a basic science department located in the George and Cynthia Mitchell Basic Sciences ... Data Management • Maintain detailed and accurate experimental records • Collect and organize ...

Texas A&M AgriLife

Research Assistant

Overton, TX · On-site

$15.75 - $21.75/hr

Texas A&M AgriLife Research * College of Agriculture and Life Sciences at Texas A&M University ... Failure to provide all job application data or a complete resume could result in an invalid ...

Tamus

Research Assistant

Overton, TX · On-site

$15.75 - $21.75/hr

Texas A&M AgriLife Research * College of Agriculture and Life Sciences at Texas A&M University ... Failure to provide all job application data or a complete resume could result in an invalid ...

previous pagenext page

Showing results 21-40

All JobsData Science Research JobsData Science Research Assistant JobsData Science Research Assistant Jobs in Texas

Data Science Research Assistant information

What does a data science research assistant do?

A Data Science Research Assistant supports research projects by gathering, cleaning, and analyzing data using statistical and computational techniques. They assist senior researchers with designing experiments, developing models, and interpreting results. Typical tasks include data preprocessing, coding in languages like Python or R, literature reviews, and creating visualizations to summarize findings. Their work helps advance scientific knowledge and inform decision-making based on data-driven insights.

What are the key skills and qualifications needed to thrive as a data science research assistant?

To thrive as a Data Science Research Assistant, you need a strong background in statistics, machine learning, and programming (often with a degree in computer science, statistics, or related fields). Familiarity with tools such as Python, R, Jupyter Notebooks, and data visualization libraries as well as experience with version control systems like Git is typical, and coursework or certifications in data science can be beneficial. Attention to detail, problem-solving ability, and strong communication skills are essential to effectively analyze data, interpret results, and collaborate with research teams. These skills and qualities are critical for producing reliable insights, supporting research objectives, and ensuring the integrity of data-driven projects.

How does a data science research assistant typically collaborate with other team members during a research project?

Data Science Research Assistants frequently work alongside data scientists, research leads, and subject matter experts to support ongoing research. Their responsibilities often include cleaning and preprocessing data, performing exploratory analyses, and implementing models. Regular collaboration occurs through team meetings, code reviews, and sharing findings, ensuring alignment with project goals. Open communication and adaptability are essential, as priorities and datasets can shift based on project needs.

What is the difference between Data Science Research Assistant vs Data Analyst?

AspectData Science Research AssistantData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's or higher in Data Analysis, Statistics, or related field
Work EnvironmentResearch labs, academic institutions, or research-focused organizationsBusiness settings, corporate offices, or consulting firms
Employer & Industry UsageUniversities, research institutes, government agenciesCorporations, marketing firms, finance, healthcare
Common Search & ComparisonYesNo

Data Science Research Assistants typically focus on supporting research projects through data collection, analysis, and modeling in academic or research settings. Data Analysts primarily interpret data to help organizations make business decisions. While both roles require strong analytical skills and knowledge of data tools, the research assistant role emphasizes academic research and experimentation, whereas data analysts focus on business insights and reporting.

What are the most commonly searched types of Data Science Research jobs in Texas?

The most popular types of Data Science Research jobs in Texas are:

What are popular job titles related to Data Science Research Assistant jobs in Texas?

For Data Science Research Assistant jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Data Science Research Assistant jobs in Texas look for?

The top searched job categories for Data Science Research Assistant jobs in Texas are:

What cities in Texas are hiring for Data Science Research Assistant jobs?

Cities in Texas with the most Data Science Research Assistant job openings:

Data Science Research Assistant jobs near you
Infographic showing various Data Science Research Assistant job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Research Assistant/Associate Professor (Breeding & Genetics)

Prairie View, TX • On-site

Prairie View A&M University
Colleges, Universities, and Professional Schools • 501 - 1,000 employees
Learn more about Prairie View A&M Universityexternal

Full-time

Re-posted 3 days ago

Key responsibilities

  • Develops and implements an independent research program focused on quantitative genetics, genomic analysis, breeding systems, and data science applications in small ruminants, particularly goats.

  • Contributes to strategic growth, research initiatives, herd improvement objectives, and overall advancement of the International Goat Research Center mission and infrastructure.

  • Collaborates with CAFNR research and extension faculty across disciplines including ruminant nutrition, reproduction, parasitology, food science, and related agricultural sciences.

Job description

Job Title
Research Assistant/Associate Professor (Breeding & Genetics)
Agency
Prairie View A&M University
Department
Adloc Cooperative Agriculture And Research Center
Proposed Minimum Salary
Commensurate
Job Location
Prairie View, Texas
Job Type
Faculty
Job Description
Important Immigration information:
A Presidential proclamation issued on September 19, 2025, imposes a $100,000 fee on new H-1B petitions filed after September 21, 2025. Please be advised that Texas A&M University will NOT pay this fee. Therefore, if you need immigration sponsorship for your employment, we recommend that you consult with your private immigration counsel at your own expense to ascertain whether your current immigration status would make a potential offer of employment from Texas A&M University subject to this fee.
In addition, on January 27, 2026, Texas Governor Abbot issued a moratorium on the filing of any new H-1B unless approved by the Texas Workforce Commission. Accordingly, if you will now or in the future require sponsorship for employment visa status this moratorium may affect our ability to employ you should you be selected as the final candidate.
The College of Agriculture, Food and Natural Resources (CAFNR) at Prairie View A&M University (PVAMU) is inviting applications for a 9-month, non-tenure track Research Assistant/Associate Professor position in Quantitative Genetics, with a focus on small ruminant genetics or data science. This position is 100% research-oriented and offers a competitive salary commensurate with experience. Continued employment will be contingent upon meeting research performance metrics, including securing external funding and demonstrating successful research outcomes.
The successful candidate will lead a robust research program in quantitative genetics and data science, specifically focusing on milk and meat goat research. This role will contribute to the International Goat Research Center at PVAMU and foster interdisciplinary collaborations within CAFNR, including research in ruminant nutrition, reproduction, parasitology, and food science.
This position is funded by a grant or restricted funds. Continued employment is contingent on the renewal of grant or restricted funding.
The salary is determined in accordance with the University's compensation structure and will be commensurate with the candidates' education and experience, within the assigned salary range for this position.
Responsibilities:
  • Develops and implements an independent research program focused on quantitative genetics, genomic analysis, breeding systems, and data science applications in small ruminants, particularly goats.
  • Contributes to strategic growth, research initiatives, herd improvement objectives, and overall advancement of the International Goat Research Center mission and infrastructure.
  • Collaborates with CAFNR research and extension faculty across disciplines including ruminant nutrition, reproduction, parasitology, food science, and related agricultural sciences.
  • Analyzes genetic and production data, prepares reports, publishes findings, and contributes to scientific presentations and dissemination activities.
  • Participates in university compliance activities, committee service, training requirements, and other assigned duties supporting departmental and institutional operations.

Required Education and Experience:
  • Ph.D. in Animal Breeding, Statistical Genetics, Computational Biology, Genomics, or Data Science.
  • No prior experience required.
  • Experience in mentoring and advising students.

Required Knowledge, Skills and Abilities:
  • Proven potential for securing extramural funding.
  • Demonstrated ability to publish research in peer-reviewed journals.
  • Excellent written and oral communication skills, along with strong organizational and interpersonal abilities.
  • Postdoctoral experience in animal breeding or related fields.

Preferred Qualifications:
  • At least five years of research experience in breeding, genetics, or data science.
  • Demonstrated ability to collaborate effectively and participate in interdisciplinary research.
  • Proven experience in grant writing and leading research projects.
  • Record of peer-reviewed publications in breeding, genetics, or data science.
  • Experience in teaching undergraduate and graduate courses.
  • Background in livestock and small ruminant research.

Job Posting Close Date:
  • Until Filled

Required Attachments:
Please attach all required documents listed below in the attachment box labeled as either "Resume/CV or Resume/Cover Letter" on the application. Multiple attachments may be included in the "Resume/CV" or Resume/Cover Letter" attachment box. Any additional attachments provided outside of the required documents listed below are considered optional.
  • Resume or Curriculum Vitae

  • Cover Letter

Application Submission Guidelines:
All applicants are required to apply via our Career Site on or before the closing date indicated on the job posting. Applicant inquiries received via email and websites such as Indeed, HigherEdJobs, etc. will not be considered unless the individual has applied to the available position via the PVAMU Career site.
The required documents listed in the above "Required Attachments" section must be attached to the application prior to the job closing date indicated to ensure full consideration for the application submitted. Please contact the Office of Human Resource on or before the closing date indicated above at 936-261-1730 or jobs@pvamu.edu should you need assistance with the online application process.
Background Check Requirements:
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.

Apply