Dominik Pfluger

Statistician at numerics data gmbh

Zurich, Switzerland

About

I am a biostatistician with long term experience in clinical trials (pharmaceutical and medical devices studies). Statistical theory, applied computer science and a strong medical background build the basis of my activities. The endeavour always starts with a research hypothesis at the very beginning that is being converted into a statistical model. That means the scientific question is turned into a statistical questions that can be anwsered by data. Along this path the analysis plan is set up and the required sample size needed is being estimated. As a passionate SAS programmer I am also involved in BI (Business Intelligence), specialized in data mining and reporting systems that is automated reporting using SAS macros.

Experience

  • numerics data gmbh (11 yrs 6 mos)
    • Statistician /SAS programmer
      Nov 2015 - Present · 10 yrs 8 mos

      Clinical studies (SAP-design, SAS programming), BI-applications, JSL scripting

    • Company Owner
      Jan 2015 - Present · 11 yrs 6 mos

    • Company Owner
      Jan 2015 - Present · 11 yrs 6 mos

  • Statistician & SAS Programmer at datametrix AG
    2003 - Present · 23 yrs 6 mos

    Designing clinical trials i.e. statistical analysis plan and sample size estimation incl. randomization plans. Data managament, statistical modelling, output creation and reporting (BI: expert systems)

  • Consultant at Harlan laboratories (former RCC Ltd
    Jan 2006 - Dec 2010 · 5 yrs

    Itingen Statistical consultancy for toxicological studies. Development of SAS-Macros to automate regression analyses of experiments implementing posthoc tests.

  • Consultant at Cochlear AG
    Jan 2005 - Dec 2010 · 6 yrs

    4000 Basel Teaching Biostatistics for Audiologists. Planning of clinical studies of auditory implants. Reviewing scientific papers.

  • Consultant at Swiss Federal Statistical Office
    Jan 2003 - Dec 2010 · 8 yrs

    Neuchâtel -Implementation of a relational SAS Database and development of a reporting system (PKS) to automate crime statistics. This system allows to produce separate analyses by cantons and sub-regions using a flexible macro parameterized design,