Senseye

Senseye

Research Data Analyst

Austin, Texas, United States · Internship

Sponsorship not specified$65k-$80kDetected 30 days ago
PythonPandasNumPyData AnalysisData ScienceStatisticsClinical TrialsResearchExperimental DesignCommunicationAdaptability

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Lottery odds (Level I)39
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About the role

  • Our first diagnostic is for PTSD and is entering clinical trials now, followed soon by additional indications for Anxiety and Depression.
  • The signals we work with are small, so every detail matters.
  • Present results of analyses to team members on an ongoing basis.

Responsibilities

  • 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.
  • The Senseye platform has the potential to be the technology that drives this change.
  • 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.
  • 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.
  • 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.
  • 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:
  • Interpret findings in the context of the experimental design, and be clear about what the results do and do not support.
  • 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.

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.

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.
  • When we're safe, healthy, and balanced we can accomplish phenomenal things together.

Compensation

  • $65k-$80k

Benefits

  • About Us Senseye is a NeuroTechnology Company in Austin, TX on the cusp of revolutionizing Mental Health.
  • 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.

Company info

  • Senseye is a NeuroTechnology Company in Austin, TX on the cusp of revolutionizing Mental Health.
  • 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.
  • Role Description We are seeking a Research Data Analyst to join our team.
  • 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.
  • The ideal candidate is passionate about being part of an innovative research team, detail-oriented, adaptable, and motivated to grow.
  • 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.
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This listing is sourced directly from Senseye's careers page and normalized into a canonical job model.