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Trainee Data Science Jobs in Texas (NOW HIRING)

Senior Research Scientist

Bryan, TX

$90K - $115K/yr

... Science Center Department College Of Nursing Proposed Minimum Salary Commensurate Job Location ... Analyzes data and summarizes results * Guides analysis, interpretation, and translation of findings ...

New

Senior Research Scientist

Bryan, TX

$90K - $115K/yr

... Science Center Department College Of Nursing Proposed Minimum Salary Commensurate Job Location ... Analyzes data and summarizes results * Guides analysis, interpretation, and translation of findings ...

New

Showing results 21-40

Trainee Data Science information

See Texas salary details

$34.9K

$114.3K

$183.1K

How much do trainee data science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for trainee data science in Texas is $114,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a trainee data scientist, and why are they important?

To thrive as a Trainee Data Scientist, you need a foundational understanding of statistics, programming (often Python or R), and data analysis, usually supported by a relevant degree or coursework in mathematics, computer science, or engineering. Familiarity with data visualization tools (such as Tableau or Power BI), machine learning libraries (like scikit-learn or TensorFlow), and basic database systems is often expected. Strong problem-solving skills, curiosity, and effective communication help you interpret data insights and collaborate with team members. These skills are crucial for extracting actionable insights from data and contributing meaningfully to data-driven projects.

What is the difference between Trainee Data Science vs Data Analyst?

AspectTrainee Data ScienceData Analyst
Required CredentialsBasic degree in related field, entry-level certificationsDegree in statistics, mathematics, or related field, often with certifications
Work EnvironmentInternship or entry-level role in tech or finance companiesBusiness, finance, marketing departments across industries
Employer & Industry UsageStart of data career path, training-focused rolesData-driven decision making, reporting, and analysis

In summary, a Trainee Data Science role is an entry-level position focused on learning and developing skills in data science, often as part of an internship or training program. A Data Analyst typically has more experience in analyzing data, creating reports, and supporting business decisions. Both roles are essential in data-driven industries but differ mainly in experience level and scope of responsibilities.

What does a trainee data scientist do?

A Trainee Data Scientist assists in gathering, cleaning, and analyzing data to support business decisions. They work under the guidance of senior data scientists to learn about data modeling, statistical analysis, and using tools such as Python, R, or SQL. Their responsibilities often include preparing reports, visualizing data, and contributing to the development of predictive models. The goal is to build foundational skills and gain hands-on experience in the field of data science.

What are some common challenges faced by trainee data scientists during their initial projects, and how can they overcome them?

Trainee Data Scientists often encounter challenges such as working with messy or incomplete datasets, understanding complex business problems, and selecting the appropriate modeling techniques. Collaborating closely with experienced team members and seeking feedback can help trainees navigate these obstacles. Additionally, actively participating in code reviews and knowledge-sharing sessions accelerates learning and builds confidence in tackling real-world data science tasks.
What are the most commonly searched types of Data Science jobs in Texas? The most popular types of Data Science jobs in Texas are:
What are popular job titles related to Trainee Data Science jobs in Texas? For Trainee Data Science jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Trainee Data Science jobs? Cities in Texas with the most Trainee Data Science job openings:
Infographic showing various Trainee Data Science job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $114,350 per year, or $55 per hour.

Clinical Data Coordination Center Position Associate/Full Professor Rank

University Of Texas Southwestern Medical Cent (The

Dallas, TX • On-site

Full-time

Medical, Retirement, PTO

Re-posted 10 days ago


UT Southwestern rating

7.9

Company rating: 7.9 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

108th of 887 rated healthcare providers


Job description

OPPORTUNITY
The Peter O'Donnell Jr. School of Public Health (OSPH) at UT Southwestern is seeking a dynamic, accomplished professional at the [Associate/Full] Professor level to establish and develop research opportunities for Clinical Data Coordination Center grants. The ideal candidate will work collaboratively with the OSPH Dean, the Associate Dean of Data Sciences, the Associate Dean of Research and the Chair of Health Data Sciences and Biostatistics, other department chairs, and university administration to bring extensive experience in building, managing and supporting multi-site clinical research data operations and establishing robust data coordination infrastructure.

O'DONNELL SCHOOL OF PUBLIC HEALTH
Founded with a $100 million transformative gift from the O'Donnell Foundation - the largest founding gift to public school of public health - UT Southwestern Peter O'Donnell Jr. School of Public Health has grown rapidly and now includes a multidisciplinary team of 70 primary faculty members, 60+ scholars with secondary appointments, and 85+ staff who conduct research and prepare the next generation of professionals to address major public health challenges. The school is poised to grow further in a short period of time.

UT SOUTHWESTERN

  • A research powerhouse: home of 6 Nobel Prize winners, 254 members of the National Academy of Medicine, 25 members of the National Academy of Sciences, and 14 Howard Hughes Medical Institute Investigators.
  • Among the top 20 Best Large Employers in America in Forbes and Statista for 2023.
  • 3000+ full-time faculty who garner more than $71679 million in annual grant funding for research.
  • Top 3 globally for health care institutions in Nature Index for published research for the last decade.
  • Access to large amounts of data for research through multiple large health systems - Parkland Health, Children's Health, Texas Health Resources, the VA North Texas, and Texas Scottish Rite for Children.

THE DEPARTMENT - HEALTH DATA SCIENCES AND BIOSTATISTICS

  • The Department of Health Data Sciences and Biostatistics (HDS&B) is rapidly growing department, led by Yang Xie, PhD, Professor and Associate Dean of Data Sciences and includes 27 faculty members and an additional 20 faculty with primary appointments in other Departments and with secondary appointments in HDS&B.
  • This group includes highly trained biostatisticians and data scientists with expertise in artificial intelligence (AI), and with insight and experience in current and emerging uses of research and clinical data to impact biomedicine and public health.

KEY RESPONSIBILITIES

  • Develop transformational clinical data coordination grants and work with a broad range of constituencies in the development of a state-of-the-art opportunies that will lead the institution into the future.
  • Identify and secure external funding to support center operations including from NIH, DOD, PCORI, CDC, state and local agency, and industry partners.
  • Lead the implementation of data management systems and tools-work with collaborators to build data management and tools to support the clinical and research enterprises and support the needs of individual investigators.
  • Foster collaborations with researchers inter and intra institutional-build bridges with the clinical departments and faculty and the health systems to mentor junior faculty and staff in data coordination methodologies, and design and implement data coordination infrastructure for large-scale clinical studies
  • Ensure compliance with regulatory requirements and data security standards

REQUIRED QUALIFICATIONS

  • A doctoral Degree (Ph.D., M.D., or M.D./Ph.D. or equivalent) in Biostatistics, Heath Data Sciences, Health Informatics, Clinical Investigation or Research, or related field with experience and achievements appropriate for appointment as associate or full professor.
  • Significant experience in academic or healthcare data management, program development, education, and research or scholarship is expected.
  • Demonstrated experience in managing and coordinating clinical data to facilitate research and operational needs including a deep understanding of the regulatory, security and privacy aspects of data management.
  • Strong interpersonal, collaborative, and leadership skills and success in a complex environment.
  • Track record of achievement in team building, and managerial and strategic thinking.
  • History of successful research funding (ex. NIH, CDC, AHRQ, PCORI, industry, foundations etc.).
  • Successful oversight of multi-site clinical trials, cohorts or cross-sectional studies.
  • Strong publication record.
  • Outstanding teaching and mentoring experience in data management, and clinical research methods.
  • Transparent communication style and a collegial presence that encourages consensus building, collaboration, and cooperation and who is committed to developing faculty, staff, and trainees, and achieving prestige through the success of the program.

PREFERRED QUALIFICATIONS

  • Demonstrated success in securing and managing federal grants specifically for data coordination centers
  • Experience serving as PI or Co-PI on multi-center clinical trials and their coordination
  • Track record of cooperative agreement awards such as NIH U01, U24
  • History of successful collaboration with clinical research networks

UTSouthwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. Asan equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis ofrace, color, religion, national origin, sex,sexual orientation, gender identity, gender expression,age, disability, genetic information, citizenship status, or veteran status.

This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information.

Appointment rank will be commensurate with academic accomplishment and experience. Consideration may be given to applicants seeking less than a full-time schedule.

To learn more about the benefits UT Southwestern offers, visithttps://www.utsouthwestern.edu/employees/hr-resources/

Benefits
    UT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed to support your overall wellbeing, and include:
    • PPO medical plan, available day one at no cost for full-time employee-only coverage
    • 100% coverage for preventive healthcare - no copay
    • Paid Time Off, available day one
    • Retirement Programs through the Teacher Retirement System of Texas (TRS)
    • Paid Parental Leave Benefit
    • Wellness programs
    • Tuition Reimbursement
    • Public Service Loan Forgiveness (PSLF) Qualified Employer
    • Learn more about these and other UTSW employee benefits!

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