Research Assistant: Health Data & Fieldwork (HYPIEND)

Germans Trias i Pujol Research Institute (IGTP)

Badalona

On-site

EUR 18,000 - 28,000

Part time

9 days ago

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Benefits offered by this job

Flexible payment vouchers
23 days holiday
Training capsules
Can Ruti Campus location

Job summary

Germans Trias i Pujol Research Institute (IGTP) seeks a Research Assistant for the Community Health Unit to support the HYPIEND project in Spain. The role focuses on data collection, analysis, and preparation of reports and manuscripts, contributing to interventional study activities and collaboration with research teams.

The candidate will work with surveys, experiments, fieldwork, or interviews, using statistical tools (SPSS, R, Python, STATA) and qualitative tools as needed; strong English is

Qualifications

  • Higher level training cycle in clinical and biomedical laboratory.
  • Strong academic background in relevant field.
  • Familiarity with data gathering theories and methodologies.
  • Hands-on lab experience and data recording.
  • Excellent written and spoken English; Spanish/Catalan an asset.

Responsibilities

  • Data collection and analysis for the HYPIEND project.
  • Surveys, experiments, fieldwork or interviews for data gathering.
  • Use SPSS, R, Python or STATA for data analysis.
  • Draft reports, papers and summaries of findings.

Skills

Data analysis
Statistics software (SPSS/R/STATA)
Qualitative analysis tools (NVivo/ATLA
English proficiency
Spanish/Catalan asset

Education

Higher level training cycle in clinical and biomedical laboratory

Tools

Microsoft Office
Google Workspace
Stata
R
Python

Job description

Germans Trias i Pujol Research Institute (IGTP) seeks a Research Assistant for the Community Health Unit to support the HYPIEND project in Spain. The role focuses on data collection, analysis, and preparation of reports and manuscripts, contributing to interventional study activities and collaboration with research teams.

The candidate will work with surveys, experiments, fieldwork, or interviews, using statistical tools (SPSS, R, Python, STATA) and qualitative tools as needed; strong English is

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