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28.07.2021

Datamanager

  • 8091Zürich
  • Vollzeitstelle

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Das USZ steht jeden Tag allen Menschen offen und bietet medizinische Grundversorgung und Spitzenmedizin an zentraler Lage in Zürich. Wir nutzen unseren universitären Wissensvorsprung, um verschiedenste Gesundheitsprobleme zu lösen: nah am Menschen, hochspezialisiert und auf dem neuesten Stand der Forschung.
Das USZ steht jeden Tag allen Menschen offen und bietet medizinische Grundversorgung und Spitzenmedizin an zentraler Lage in Zürich. Wir nutzen unseren universitären Wissensvorsprung, um verschiedenste Gesundheitsprobleme zu lösen: nah am Menschen, hochspezialisiert und auf dem neuesten Stand der Forschung.
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Das UniversitätsSpital Zürich löst Gesundheitsprobleme – auch sehr komplexe. Dafür nutzen wir unseren universitären Wissensvorsprung: Von neuen Erkenntnissen profitieren unsere Patientinnen und Patienten als erste.
Jährlich vertrauen über 35‘000 stationäre und 134‘000 ambulante Patientinnen und Patienten unserem Spital und seinen über 8‘000 Mitarbeitenden. Es ist damit ein führendes Spital der Schweiz.
Dank der interdisziplinären Zusammenarbeit unserer über 40 Kliniken und Institute sowie der Nähe zu UZH und ETH machen wir neustes Wissen verfügbar und bieten aktuellste Therapien für vielfältige Gesundheitsprobleme.

Datamanager

Your main tasks

  • Management of REDCAP databases (update data collection forms, data review, cleaning, checks, export)
  • Verification of data validity, development and implementation of plausibility checks
  • Creation of master datasets, organization of smaller datasets, development of data dictionaries and variable manuals
  • Development and implementation of eCRFs
  • Preparation of Standard Operating Procedures (SOP) and working documents in the field of data management
  • Data cleaning and accurate documentation of the cleaning process

Further tasks will be
  • Generating descriptive statistics of the source and derived data; inclusive graphical presentations
  • Performing statistical analyses using SAS or R and supporting scientific publications

Your profile

  • Education in computer science or data science, preferably with a background and/or experience in statistical analysis and in the field of clinical studies (understanding of clinical data management, study management, study design, databases, experience with different DM tools, setting up eCRFs and edit checks)
  • Advanced SAS and/or R/R-studio programming and good skills in Excel are a prerequisite; knowledge of SQL or any other programming language is an advantage
  • Project management experience and knowledge of regulatory requirements with regard to data management are desirable
  • Ability to work independently, strong sense of responsibility, commitment and solution-oriented thinking
  • English fluently written and spoken, German reading at least level A2 is desirable
  • Basic knowledge of medical terminology is an advantage

What we offer

Opportunities:

You will work within in the international network of DO-HEALTH and other randomized clinical trials, and take advantage of the academic environment / career opportunities at the University of Zurich.

Your position will be based at the Centre on Aging and Mobility, University of Zurich, located at the Waid City Hospital in Zurich, Switzerland. The Centre on Aging and Mobility belongs to the Department of Aging Medicine and Aging Research at the University of Zurich and is part of the Geriatric Clinic at the University Hospital Zurich. The position is initially limited to 1 year, but extension is possible. Salary depends on experience.

Supervision:

Your work at the CAM will be under the direction of Prof. Heike A. Bischoff-Ferrari, MD, DrPH who is the director of the CAM and Chair of Department of Aging Medicine and Aging Research at the University of Zurich. Your line manager will be the head of the epidemiology / datamanagement team. (For DO-HEALTH you will also be under the supervision of the DO-HEALTH Head Biostatistician (Prof. E. John Orav, PhD, Associate Professor, Harvard Medical School).)

If you have questions regarding the position, please contact Sandrine Rival (sandrine.rival@usz.ch) or Andreas Egli (andreas.egli@usz.ch, 044 417 10 74).

Your application

About USZ

The University Hospital Zurich is one of the leading hospitals in Switzerland. The combination of care, research and teaching makes it possible to apply the knowledge advantage for the benefit of all. Every year, our 8 500-strong workforce treats more than 42 300 in-patients and 700 000 out-patients with dignity and compassion. We provide an inspiring environment for you to apply your knowledge and skill.

The Centre on Aging and Mobility (CAM) is the clinical research centre of the Department of Aging Medicine and Aging Research at the University of Zurich. At the CAM, we aim to advance health at older age. To gain evidence for clinical practice changes, our focus is on clinical trials with interventions that have a potential impact at the public health level. Currently two RCTs (STRONG and MFYM) and one cohort study (the continuation of DO-HEALTH (www.do-health.eu), the largest European clinical trial in support of health at an older age) are running (www.alterundmobilitaet.usz.ch). In addition to the clinical trials the CAM is performing cross-sectional data collection from hospitals (acute care and Akut- und Übergangspflege).

  • Management of REDCAP databases (update data collection forms, data review, cleaning, checks, export)
  • Verification of data validity, development and implementation of plausibility checks
  • Creation of master datasets, organization of smaller datasets, development of data dictionaries and variable manuals
  • Development and implementation of eCRFs
  • Preparation of Standard Operating Procedures (SOP) and working documents in the field of data management
  • Data cleaning and accurate documentation of the cleaning process

Further tasks will be
  • Generating descriptive statistics of the source and derived data; inclusive graphical presentations
  • Performing statistical analyses using SAS or R and supporting scientific publications

Arbeitsort:

8091Zürich

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