Research Data Analyst 3

UCSFSan Francisco, CA

About The Position

The Research Data Analyst (RDA) will serve as the Research Data Manager on the ARIA project and provide the architectural backbone for a large-scale, multi-department clinical neural data initiative. Primarily, they will transform raw signals from a complex stack of clinical neural collection hardware into highly structured, analysis-ready datasets. Data pipeline software will be built from the ground up, designing robust systems capable of handling high-dimensional time-series data. Our goal is to use optimized storage using formats like TileDB or SQLite and ensure code quality through modern software tooling in languages such as Python or Rust. In building these architectures, the Research Data Analyst must author and implement rigorous clinical data collection protocols, seamlessly integrating hardware outputs with clinical capture systems like REDCap. Additionally, the Research Data Analyst will act as the main coordinator of data distribution. Mostly, they will be orchestrating the dissemination of data between various parties across departments and institutions. Also, in part, they will be a collaborative partner to multi-disciplinary research teams, actively shaping the statistical and computational design of neural data analyses.

Requirements

  • Experience with data analysis and interpretation.
  • Experience designing and conducting research.
  • Experience selecting data samples and developing research instruments.
  • Experience analyzing collected information using statistical methods.
  • Experience preparing reports, charts, tables, and visual aids.
  • Experience building data pipelines.
  • Experience with high-dimensional time-series data.
  • Experience with optimized storage formats like TileDB or SQLite.
  • Experience with modern software tooling in languages such as Python or Rust.
  • Experience authoring and implementing clinical data collection protocols.
  • Experience integrating hardware outputs with clinical capture systems like REDCap.
  • Experience coordinating data distribution.
  • Experience collaborating with multi-disciplinary research teams.
  • Experience shaping statistical and computational design of data analyses.

Responsibilities

  • Gathering, analyzing, and interpreting a wide variety of research data.
  • Designing and conducting research including selecting data samples, developing research instruments, analyzing collected information according to established statistical methods, and developing recommendations based on research findings.
  • Preparing reports, charts, tables, and other visual aids to interpret and communicate data and results.
  • Transforming raw signals from clinical neural collection hardware into structured, analysis-ready datasets.
  • Building data pipeline software from the ground up, designing robust systems for high-dimensional time-series data.
  • Authoring and implementing clinical data collection protocols.
  • Integrating hardware outputs with clinical capture systems like REDCap.
  • Coordinating data distribution between various parties across departments and institutions.
  • Acting as a collaborative partner to multi-disciplinary research teams, shaping the statistical and computational design of neural data analyses.
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