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Research Data Analyst Two Jobs in Texas (NOW HIRING)

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 ...

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 ...

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 ...

Position Overview- Onsite in Houston, TX 77092 Sagis seeks a motivated Data Analyst II to support the needs of our Revenue Cycle Management, Financial, and Accounting Departments. You'll report to ...

The Data Analyst makes sense of past and present data for end consumers. The Data Analyst curates ... and quality. 2. Technical Support and Maintenance:10% * Provides technical support and ...

The Data Analyst makes sense of past and present data for end consumers. The Data Analyst curates ... and quality. 2. Technical Support and Maintenance:10% * Provides technical support and ...

The Data Analyst makes sense of past and present data for end consumers. The Data Analyst curates ... and quality. 2. Technical Support and Maintenance:10% * Provides technical support and ...

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 ...

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Research Data Analyst Two information

What is the difference between Research Data Analyst Two vs Research Data Analyst One?

AspectResearch Data Analyst TwoResearch Data Analyst One
Required CredentialsBachelor's degree in data science, statistics, or related field; experience in data analysisBachelor's degree; entry-level experience in data analysis
Work EnvironmentResearch institutions, government agencies, or corporate research teamsSimilar environments, often in entry-level roles
Employer & Industry UsageUsed in research-focused roles across academia, government, and industryCommonly used for entry-level data analysis positions in similar sectors

The main difference between Research Data Analyst Two and Research Data Analyst One lies in experience level and responsibilities. Research Data Analyst Two typically requires more experience and handles more complex data projects, whereas Research Data Analyst One is an entry-level position. Both roles are common in research environments across various industries, with the 'Two' level indicating a higher skill set and responsibility.

What cities in Texas are hiring for Research Data Analyst Two jobs? Cities in Texas with the most Research Data Analyst Two job openings:

Research Data Analyst

Senseye

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 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

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