Berlin Institute of Health @Charité - QUEST Center for Transforming Biomedical Research at the Berlin Institute of Health @Charité
Die Charité – Universitätsmedizin Berlin ist eine gemeinsame Einrichtung der Freien Universität Berlin und der Humboldt-Universität zu Berlin. Sie hat als eines der größten Universitätsklinika Europas mit bedeutender Geschichte eine führende Rolle in Forschung, Lehre und Krankenversorgung inne. Aber auch als modernes Unternehmen mit Zertifizierungen im medizinischen, klinischen und im Management-Bereich tritt die Charité hervor.
The position is located at the QUEST Center for Transforming Biomedical Research at the Berlin Institute of Health @Charité within the meta-research group. The goal of QUEST is to optimize biomedical research in terms of scientific methodology, bioethics, and research accessibility.
Meta-research, or science of science, studies can help us to improve science by identifying common problems with the design, conduct, analysis and reporting of scientific studies. We can use this information to develop targeted solutions to improve scientific research.
(Project: A participant-guided, “learn by doing” course in meta-research (the science of science))
The student assistant will work with members of the research team to run a participant-guided, "learn by doing" course in meta-research. Course participants learn about meta-research by working together to design, conduct and publish a meta-research study (https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3001073). Applicants should note that meta-research is different from meta-analysis.
Core activities: The student assistant’s role will include working closely with class participants to facilitate consistent progress, eliminate road blocks and ensure that the class is working together as a team. The student assistant may also work on the class meta-research project alongside students. Experience working in collaborative teams and managing group dynamics is essential. Meta-research experience is beneficial, however additional training will be provided. Depending on the desired number of hours, additional tasks may include: 1. Abstracting data for meta-research studies: The student assistant may review research articles and abstract data according to standardized protocols. 2. Creating training and validation datasets for new automated screening tools: The team is currently developing tools to detect re-use of public data, screen for problems with data visualization, and detect common problems with image presentation in scientific papers. Applicants can learn more about how these tools will be used here: https://rdcu.be/cdnWk.
Student assistant activities may extend into a masters thesis project.
ordinarily enrolled students
Student of the life sciences
Basic computing and statistical skills necessary, basic statistical and programming skills an advantage
Experience in conducting experimental research an advantage
Interest in meta-research
Highly proficient in English
What we offer:
starting date: earliest
duration: limited until 31.12.2021
working time: 80 h/ month
remuneration: TV STUD III 12,68 EUR/Std.
How to apply:
reference number: STUD-HK 03.21.15 BIH QC
application date: 24.04.2021
application only via email with indication of the reference number to: email@example.com