Research Data Analyst 3

University of California-San Diego

San Diego, CA, USA 🇺🇸

DESCRIPTION

The Research Data Analyst is responsible for in-depth statistical and data analysis utilizing select proven methods and techniques for obtaining solutions, to support both research and near real time operations at CW3E. Conducts research focusing on effective monitoring, process-level understanding, and prediction of extreme precipitation events along the US West Coast. Time scales studied will range from weather to climate. Responsible for supporting observational networks and science-based enhancements to these networks to support Center research.

Processes and analyzes observational data and model output; responsible for the implementation, design, and maintenance of a wide variety of hydrometeorological and hydroclimatological field sites. Lead research projects including but not limited to research in environmental, hydrologic, and atmospheric science disciplines. Independently provides guidance to junior researchers, interns, and graduate students to deploy and maintain field equipment in a variety of environments. Takes measurements in the field as necessary and trains others. Supports long-term research projects that rely on field observations as well as keeping current with the latest technologies and research advances. Develop methods to quality control the data and automate these processes.

Contributes as a co-author on publications especially those related to monitoring efforts. Presents results from data analyses at scientific and stakeholder meetings and conferences. Represents the field team in designing and implementing research studies coordinated with the Center’s senior hydrometeorological and specifically snow hydrology researchers.

In alignment with UC San Diego’s Strategic Plan to establish off-campus community engagement, this position leads and participates in outreach efforts that relate to CW3E monitoring and research work with partners and local communities within the watersheds where we work, as well as the greater San Diego area, ensuring that equity in accessibility to science plays a role in the Center’s overarching goal of uniting research and operations.

QUALIFICATIONS

  • Thorough knowledge of research function. Experience in development of hydrometeorological research protocols, from observation to data analysis.
  • Thorough skills associated with statistical analysis and systems programming. Expert skills in data management on a unix platform, the preparation of unix shell scripts, and an understanding of data communication systems linked to remote field stations. Expertise in programming to include MatLab and Python amongst other programming languages.
  • Thorough skills in analysis and consultation. Thorough knowledge of hydrometeorology research principles, concepts, analysis and operations being conducted at remote sites and via research models.
  • Skills to communicate complex information in a clear and concise manner both verbally and in writing. Skills in scientific graphical representation, scientific writing and experience presenting at scientific conferences (poster, and oral presentations).
  • Skills in project management. Strong time management skills. Can prioritize tasks. Meets deadlines.
  • Research skills at a level to evaluate alternate solutions and develop recommendations. This includes proposing new analyses, new measurement methodologies, new conceptual ideas, or new workflow recommendations.
  • Excellent interpersonal skills including thoughtfulness, diplomacy and flexibility with staff, faculty, researchers, and students.
  • Demonstrated ability to work in ambiguous conditions in the field and take relevant responsible actions as required.
  • Ability to work simultaneously and manage time spent on multiple projects.

SPECIAL CONDITIONS

  • Job offer is contingent upon satisfactory clearance based on Background Check results.
  • Must be willing and able to travel.
  • Occasional evenings and weekends may be required.
  • Must be willing to work with hazardous materials.
  • Must be able to work in adverse conditions and perform fieldwork in variable terrain.

POSITION TYPE

ORGANIZATION TYPE

EXPERIENCE-LEVEL