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Research Data Analyst Jobs in Texas (NOW HIRING)

Senseye

Research Data Analyst

Austin, TX · On-site

Role Description We are seeking a Research Data Analyst to join our team. This is an analysis-first role embedded with our data science and research personnel: you will design, run, and interpret ...

Senseye

Research Data Analyst

Austin, TX · On-site

Role Description We are seeking a Research Data Analyst to join our team. This is an analysis-first role embedded with our data science and research personnel: you will design, run, and interpret ...

Senseye

Research Data Analyst

Austin, TX

Role Description We are seeking a Research Data Analyst to join our team. This is an analysis-first role embedded with our data science and research personnel: you will design, run, and interpret ...

Cook Children's

Research Data Analyst, Senior

Fort Worth, TX · On-site

$111K - $111K/yr

The Sr. Research Data Analyst is a critical member of the Research Informatics team, responsible for enabling compliant researcher access to clinical and research data while protecting patient ...

Cook Children's

Research Data Manager

Fort Worth, TX · On-site

This role supports institutional honest broker workflows and works in close partnership with the Sr. Research Data Analyst, clinical researchers, IRB staff, and data stewards to ensure timely ...

University of Texas at Austin

Senior Data Analyst

Austin, TX · On-site

$85K - $107K/yr

Conceptualizes, creates, and maintains operational and research data models for visualization and statistical analysis. * Establishes and maintains standard work procedures governing the appropriate ...

DM Clinical Research

Lead Data Analyst

Houston, TX

Lead Data Analyst DM Clinical Research, the largest privately-owned clinical research organization in the Houston area and one of the top fifty in the country, is looking for a Lead Data Analyst to ...

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All JobsResearch Data Analyst JobsResearch Data Analyst Jobs in Texas

Research Data Analyst information

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$35.9K

$68.9K

$92.7K

How much do research data analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for research data analyst in Texas is $68,910.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,100.00 and $91,800.00 per year, depending on experience, location, and employer.

Can I be a research data analyst with no experience?

Research data analyst roles typically require some experience with data analysis tools like Excel, SQL, or statistical software, but entry-level positions may be available for candidates with relevant education or strong analytical skills. Gaining certifications or completing relevant coursework can improve chances of starting in this field without prior work experience.

What are some common challenges research data analysts face when working with large datasets, and how are they addressed?

Research Data Analysts often encounter challenges such as data inconsistencies, missing values, and integrating data from multiple sources when working with large datasets. Addressing these challenges typically involves implementing rigorous data cleaning protocols, utilizing statistical software for data validation, and collaborating closely with research teams to understand the context behind the data. Analysts may also create documentation and standardized procedures to streamline future data processing and ensure data integrity. Staying updated with best practices in data management can help mitigate many of these issues.

What is the difference between Research Data Analyst vs Data Scientist?

AspectResearch Data AnalystData Scientist
Required CredentialsBachelor's degree in data analysis, statistics, or related field; often certifications in data toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or training
Work EnvironmentResearch institutions, universities, or corporate research divisionsTech companies, finance, healthcare, or any industry leveraging big data
Employer & Industry UsageAcademic, government, and research organizationsPrivate sector, startups, and large corporations

Research Data Analysts focus on analyzing data to support research projects, often working within academic or research settings. Data Scientists have a broader scope, including building predictive models and advanced analytics across various industries. While both roles require strong analytical skills and familiarity with data tools, Data Scientists typically have more advanced technical expertise and work on complex data modeling tasks.

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

To excel as a Research Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with statistical software (e.g., R, SAS, SPSS), data visualization tools (like Tableau or Power BI), and programming languages (such as Python) is typically required. Attention to detail, critical thinking, and the ability to clearly communicate complex findings are crucial soft skills. These competencies ensure accurate data interpretation, effective collaboration with research teams, and impactful decision-making based on reliable insights.

What is a research data analyst?

A Research Data Analyst is a professional who collects, processes, and analyzes data to support research projects across various fields, such as healthcare, social sciences, or business. They use statistical tools and programming languages to interpret complex data sets and help researchers draw meaningful conclusions. Their responsibilities often include data cleaning, statistical analysis, and visualization of results for reports or publications. Research Data Analysts play a crucial role in ensuring the quality and integrity of the data used in research studies.
What are popular job titles related to Research Data Analyst jobs in Texas? For Research Data Analyst jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Research Data Analyst jobs in Texas look for? The top searched job categories for Research Data Analyst jobs in Texas are:
What cities in Texas are hiring for Research Data Analyst jobs? Cities in Texas with the most Research Data Analyst job openings:
Research Data Analyst jobs near you
Infographic showing various Research Data Analyst 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 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $68,910 per year, or $33.1 per hour.

Research Data Analyst

Senseye

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Job description

About Us
Senseye is a NeuroTechnology Company in Austin, TX on the cusp of revolutionizing Mental Health. Over the past 6 years we have invested millions of dollars in R&D to build our platform allowing us to measure cognitive activity via the eye through mobile phones. Through multiple iterations and use cases we are now focused on building the world's first Objective Mental Health Diagnostics on top of our core technology. Our first diagnostic is for PTSD and is entering clinical trials now, followed soon by additional indications for Anxiety and Depression. As the world struggles with a mental health crisis, it is not hyperbolic to suggest that an objective diagnostic platform, that gives clinicians a safe and objective accurate approach to identifying and monitoring mental health disease, will redefine how mental health services are provided and will enable access to treatment for hundreds of millions of sufferers. The Senseye platform has the potential to be the technology that drives this change.
Role Description
We are seeking a Research Data Analyst to join our team. This is an analysis-first role embedded with our data science and research personnel: you will design, run, and interpret analyses of experimental data across the full lifecycle of a research study. We use AI-assisted tools to help us write analysis code faster and better, but you need a solid grasp of coding and how the code works: as the human in the loop, you have the final say on what gets released and how it is analyzed, and spotting bugs and subtle mistakes is far easier for someone who genuinely understands the code than for someone who relies entirely on AI. You will co-create hypotheses with our senior scientists, own the execution of analyses, and provide the initial interpretation of results: the experimental logic, their validity, and what they actually mean. The signals we work with are small, so every detail matters. The ideal candidate is passionate about being part of an innovative research team, detail-oriented, adaptable, and motivated to grow. You will collaborate with our Research and Data Scientists and be involved in many aspects of our work, from experiment design through analysis and reporting.
Responsibilities
  • Plan and execute analyses of experimental data with support from our research and data science team: co-develop a clear hypothesis, specify expected outcomes, and select appropriate statistical methods before running the analysis.
  • Use Python and AI-assisted coding tools to build analysis pipelines and statistical tests, critically reviewing generated code for correctness.
  • Validate results end to end: check data quality, verify assumptions, spot anomalies and subtle errors, and trace unexpected results to their root cause.
  • Interpret findings in the context of the experimental design, and be clear about what the results do and do not support.
  • Present results of analyses to team members on an ongoing basis.
  • Write clear, well-organized analysis reports documenting methods, results, and interpretation.
  • Prepare, maintain, and update technical documentation.
  • Attend weekly project meetings and collaborate closely with data science and research team members through study design, execution, analysis, and interpretation.
  • Other duties and responsibilities may be assigned by research supervisors.

Requirements
  • Bachelor's degree in Neuroscience, Psychology, Computer Science, Statistics, Data Science, or a related quantitative or bioscience field.
  • Working proficiency in Python and scientific computing libraries (e.g., NumPy, Pandas, Matplotlib) for data analysis and statistical work.
  • A solid understanding of the research workflow: experimental design, hypothesis formulation, execution, analysis, and interpretation of results.
  • The ability to critically evaluate analysis code and outputs - catching small errors matters, because the effects we measure are small.
  • Strong attention to detail and a root-cause mindset: you don't stop at "this looks wrong" - you dig in and find out why.
  • Clear written communication and the ability to produce readable reports of methods and findings.
  • Motivation to learn and improve. You don't need to be an expert in any one field, but you should be eager to build on your skills.
  • An outside-the-box mindset: we don't need a robot - we want someone willing to take risks, try new approaches, and push an analysis beyond what an AI prompt hands back, because you care to understand what's really going on.
Nice to Have
  • Master's degree in Computer Science, Statistics, Data Science, Neuroscience, Psychology, or a related field.
  • Laboratory or human subjects research experience (academic lab, thesis project, internship, or publication).
  • Experience with research statistics (e.g., parametric, nonparametric, or Bayesian statistics).
  • Experience using AI coding assistants effectively - prompting, reviewing, and correcting generated code.
  • Experience preparing manuscripts for publication.

Benefits
  • The freedom and trust to define your role as we design, build, and ship our products
  • Competitive salary and stock option plan
  • Flexible paid time off (vacation, sick leave, and public holidays)
  • Flexible schedules
  • Company health care plan
    • Medical, dental, and vision insurance
    • Short and long term disability insurance
    • Life insurance policy
  • 401k
  • Commuter benefits for parking, public transit, carshares, etc.
  • Mothers' room
  • Fully stocked kitchen
  • Opportunities for continuing education

The compensation for this role is $65,000-$80,000 annually.
Senseye is dedicated to building a community of employees that are diverse, passionate, and engaged. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, marital status, disability, or veteran status. When we're safe, healthy, and balanced we can accomplish phenomenal things together.
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About Senseye

Sourced by ZipRecruiter

Industry

Scientific research and development services

Company size

11 - 50 Employees

Headquarters location

Austin, TX, US

Year founded

2015

Social media

Twitter

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