18/11/2020

Statistician [f/m/d]


  • ORGANISATION/COMPANY
    Ludwig Boltzmann Institute for Digital Health and Prevention
  • RESEARCH FIELD
    Computer scienceDigital systems
    EconomicsHealth economics
    MathematicsStatistics
    Medical sciencesOther
    Psychological sciencesBehavioural sciences
  • RESEARCHER PROFILE
    First Stage Researcher (R1)
  • APPLICATION DEADLINE
    11/01/2021 23:00 - Europe/Brussels
  • LOCATION
    Austria › Salzburg
  • TYPE OF CONTRACT
    Temporary
  • JOB STATUS
    Part-time
  • HOURS PER WEEK
    30
  • OFFER STARTING DATE
    15/02/2021

OFFER DESCRIPTION

The interdisciplinary research team at the Ludwig Boltzmann Institute for Digital Health and Prevention in Salzburg, Austria, (https://dhp.lbg.ac.at) develops and evaluates digital technologies and interventions for sustainable and effective healthy behaviour change. We are looking for a highly motivated

Statistician [f/m/d]

to join our team at University Hospital Salzburg as soon as possible. The post holder will be supervised and supported by senior statisticians at the Intelligent Data Analytics (IDA) Lab Salzburg, an institution for knowledge transfer and methodological research in statistics, data science and artificial intelligence funded by the State of Salzburg (https://ida-lab.sbg.ac.at/).

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Das Ludwig Boltzmann Institut für digitale Gesundheit und Prävention (https://dhp.lbg.ac.at) arbeitet an digitalen Technologien und Interventionen, die einen nachhaltigen und effektiven Einfluss auf ein gesundheitsförderndes Verhalten haben. Zur Unterstützung des Teams am Uniklinikum Salzburg suchen wir zum ehest möglichen Eintritt eine/n motivierte/n

Statistiker*in [m/w/d]

Im Rahmen einer Kooperation erhalten Sie hierbei Unterstützung durch das Intelligent Data Analytics (IDA) Lab Salzburg, einer vom Land Salzburg im Rahmen der WISS 2025 geförderten Institution für Wissenstransfer und methodische Forschung in den Bereichen Statistik, Data Science und Künstliche Intelligenz (https://ida-lab.sbg.ac.at/).

 

More Information

Benefits

We offer

  • Weekly work hours: 30
  • Place of work: Ludwig Boltzmann Institute for Digital Health and Prevention at the Institute for Sports Medicine, University Hospital Salzburg, Lindhofstraße 22, 5020 Salzburg, Austria
  • Start date: anticipated from mid-February 2021
  • Duration: 36 months (following positive internal evaluation, an extension of a further 36 months is possible)
  • Salary: depending on qualifications and according to the standard salary categories for scientific personnel of the Austrian Science Fund (FWF, https://www.fwf.ac.at/en/research-funding/personnel-costs)

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Angebot

  • Stundenausmaß: 30 Wochenstunden
  • Dienstort: Ludwig Boltzmann Institut für digitale Gesundheit und Prävention am Universitätsinstitut für präventive und rehabilitative Sportmedizin am Uniklinikum Salzburg, Lindhofstraße 22, 5020 Salzburg
  • Beginn: Ab Mitte Februar 2021
  • Befristung: 36 Monate (bei positiver interner Evaluierung Option auf Verlängerung um weitere 36 Monate)
  • Dotierung: Einstufung je nach entsprechender Qualifikation gemäß der geltenden FWF-Kostensätze

 

Selection process

We are looking for an enthusiastic colleague who is motivated to shape and develop novel research and innovation in digital technologies for healthy behaviour change. Please email your application documents (CV and letter of motivation) to office@dhp.lbg.ac.at by Monday 11th January 2021.

 

For queries or to informally discuss this position, please don’t hesitate to contact Dr. Stefan Tino Kulnik (for queries regarding the overall programme of research and general work arrangements at the institute, tino.kulnik@dhp.lbg.ac.at) or Dr. Georg Zimmermann (for queries regarding statistical aspects and the collaboration with the IDA Lab, georg.zimmermann@pmu.ac.at).

Additional comments

We offer a challenging and supported position at one of the largest independent research organisations in Austria. The Ludwig Boltzmann Institute for Digital Health and Prevention is hosted by the Ludwig Boltzmann Gesellschaft (LBG), a research organisation with a focus on medicine, life sciences, humanities, social and cultural studies, specifically targeting novel research questions in Austria. Together with academic and applied partner organisations, the LBG currently hosts 21 research institutes and groups, and develops and evaluates new forms of collaboration between scientific and non-scientific stakeholders such as businesses, the public sector and civil society, proactively identifying and addressing societal challenges to which research can contribute solutions. The LBG employs over 550 staff.

We offer a dynamic work environment, a friendly and appreciative way of working together, and personal and professional continuing development opportunities.

 

Offer Requirements

  • REQUIRED LANGUAGES
    ENGLISH: Excellent

Skills/Qualifications

Qualifications

  • Completed degree (minimum BSc-level) in a relevant discipline, e.g. mathematics, statistics, or data science

  • Interest in interdisciplinary collaboration and communication with colleagues from different academic disciplines, e.g. medicine, sports science, informatics, and psychology

  • High level of responsibility and self-motivation, and strong interest in continuing professional development of own methodological / statistical knowledge and skills, at applied and theoretical level

  • Strong problem-solving skills, independent working style, ability to deliver under pressure, and highly developed teamworking skills

  • Excellent English language skills (written and spoken); German language is helpful but not a requirement (some team members are English-speakers only)

  • Sound software and programming skills (ideally Python or R)

 

Specific Requirements

Core responsibilities

In this role, you will:

  • Provide statistical expertise in the planning and analysis of research studies of interactive, mobile digital technologies in healthcare
  • Familiarise yourself with current methodological literature and conduct your own research on the design and analysis of mHealth studies (specifically study designs, sample size calculations in complex models, dealing with missing data in complex intervention studies, dynamic longitudinal data analysis, semi- and non-parametric models)
  • Programme user-friendly applications for the above methods (preferably in Python or R)
  • Work collaboratively in an interdisciplinary and international team
  • Participate in regular internal meetings and continuing professional development activities
  • Jointly publish scientific publications on methodological and applied aspects of the work
  • Work on your PhD thesis (should a PhD course of studies be of interest)

Map Information

Job Work Location Personal Assistance locations
Work location(s)
1 position(s) available at
Ludwig Boltzmann Institute for Digital Health and Prevention
Austria
Salzburg
Salzburg
5020
Lindhofstraße 22

EURAXESS offer ID: 578474

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