Research Associate Data Analytics and Mental Health (60-100%)

Olten

Key information

Publication date:02 September 2025
Workload:60 – 100%
Contract type:Unlimited employment
Place of work:Olten

Job summary

Join the FHNW as a Data Analytics and Mental Health researcher. Collaborate in a dynamic environment with numerous opportunities.

Tasks

Analyze data-intensive projects on work and health interactions.
Design and methodically support data collection and evaluation.
Develop methods to identify at-risk groups in organizations.

Skills

Master's degree in Psychology or related fields preferred.
Strong statistics and R programming skills required.
Conceptual thinking and interest in workplace health essential.

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Teaching, Research and Practice - We Connect

Research Associate Data Analytics and Mental Health (60-100%)

University of Applied Psychology FHNW, Institute for Mental and Organizational Health

Your tasks:

As part of a dedicated and cooperative team, you work in an innovative environment. Your tasks are interesting and diverse:

Independent preparation and analysis in data-intensive projects (e.g., on the mutual influences of work and health)
Design and methodological support of data collection and evaluations (e.g., literature research, designing questionnaires and research designs)
Development and application of analysis methods to identify burdened risk groups in organizations
Co-design of early warning systems for the early detection of health-relevant developments.
Editorial tasks (creating reports and presentations on study results, contributing to publications)
Advising and supporting team members on statistical and methodological questions in ongoing and planned projects
Participation in training and further education, e.g., knowledge transfer on R, analysis methods

Your profile:

As an innovative and team-oriented personality, you have a master's degree (university, ETH, FH), ideally in psychology. You also bring the following:

Very good knowledge of statistics
Very good R skills (tidyverse, writing functions, working with Git); R-Markdown/Quarto and HTML knowledge are an advantage
Strong conceptual and methodical-systematic thinking
Willingness to independently familiarize yourself with current methodological approaches and statistical procedures
Interest in health in the workplace

The uniqueness of FHNW is reflected in the combination of teaching and application-oriented research as well as collaboration with practice. The complementary perspectives enable a differentiated understanding and action in a rapidly changing world. Exchange and collaboration are paramount.

Will you soon be part of our team? We look forward to receiving your application by 16.10.2025.

www.fhnw.ch/psychologie