Field Data Analyst II - Ergonomics & Research

UCSF Health, AG; Richmond (CA); On-site; USD 42,000 - 60,000; Full time

Job summary

UCSF Health, AG is seeking a candidate to support research data collection and analysis under direct supervision. The role involves field data collection across varied settings, contributing to lab pilot projects, and assisting with data management, processing, reduction, compilation, and analysis.

Ideal candidates will have a Bachelor's degree in a related field and hands-on experience with statistical analysis, data security, and Python programming, with strong communication and

Qualifications

• Bachelor's degree in related area and one or more years or relevant experience and / or equivalent experience / training
• Working skills in statistical analysis, systems programming, database design and data security measures
• Working skills in analysis and consultation
• Skills to communicate complex information in a clear and concise manner both verbally and in writing
• Ability to effectively manage time and see assigned parts of projects through to completion on deadline
• Working skills in the appropriate use of technology and relevant software and scientific equipment as required (i.e., python)

Responsibilities

• Acquire skills and knowledge of professional concepts in research data collection and analysis
• Willing to travel to collect field data in a variety of settings
• May work on laboratory pilot projects
• Will assist with data management, processing, reduction, compilation, and analysis

Skills

Statistical analysis

Systems programming

Database design

Data security measures

Analysis and consultation

Communication

Time management

Python

Education

Bachelor's degree in related area

Master's degree in related area

Job description

UCSF Health, AG is seeking a candidate to support research data collection and analysis under direct supervision. The role involves field data collection across varied settings, contributing to lab pilot projects, and assisting with data management, processing, reduction, compilation, and analysis.

Ideal candidates will have a Bachelor's degree in a related field and hands-on experience with statistical analysis, data security, and Python programming, with strong communication and