Data Science as a Service

Data is valuable raw material. It needs mining, careful processing, and polishing.
We assist you in research and development by sample size estimation, planning and conducting statistical evaluation, data visualizations, and exploratory data mining.

For your data management, we provide electronic case report forms (eCRFs) and assist you in digitizing information hidden in all sorts of documents.
Understanding statistical results or conducting analyses in-house requires competences. We provide customized seminars on statistical analyses as well as introductory classes in the use of R, a standard tool in scientific data analytics.

Thinking with data unveils the value in your data!


Analysis of real-world-data on adverse pregnancy outcomes

February 2021 || Researchers from the Department of Obstetrics of Charité-Universitätsmedizin Berlin had gathered data on pregnancy outcomes in a large sample of women to study the prognostic value of biomarkers. As this data collection was not done in a systematically planned study but was rather based on real world data (RWD), sampling was done at different time points during pregnancy, and incomplete data sets were rather common. Furthermore, as is commonly the case with RWD, data entry was error prone and often done in free-text form. Importing this data set for systematic analysis required close collaboration between clinicians and data scientists. We developed and import script of way more than a thousand lines with re-coding, plausibility checks, and adjustments for pregnancy stages. Furthermore, Healthtwist provided the complete statistical analysis for this study and co-authored its publication in Hypertension: Prediction of Preeclampsia-Related Adverse Outcomes With the sFlt-1 (Soluble fms-Like Tyrosine Kinase 1)/PlGF (Placental Growth Factor)-Ratio in the Clinical Routine: A Real-World Study (

Study on diabetes and pregnancy

February 2021 || The American Journal Hypertension published a paper ‘Intrauterine Exposure to Diabetic Milieu Does Not Induce Diabetes and Obesity in Male Adulthood in a Novel Rat Model’ ( by a group of researchers from Charité-Universitätsmedizin Berlin, the Max Delbrück Center for Molecular Medicine, the German Institute of Human Nutrition Potsdam-Rehbrücke, the Berlin Institute of Health, and others. In this study, the influence of maternal diabetes on offspring health was investigated in a novel rat model. As glucose levels were measured continuously by implanted sensors, up to 49 thousand data points were recorded per individual. Healthtwist provided the statistical analysis of this challenging data set and Andreas Busjahn co-authored the publication in this prestigious journal.

Healthtwist moved to new offices

January 2021 || Due to the current pandemic restrictions, the relocation of our offices on the prestigious BiotechPark Berlin Buch could not be suitably celebrated, but nevertheless it marks an important step in our process of establishing our services as highly professional service provider in data analyses. It will strengthen our ties to companies on campus while at the same time making use of the well-maintained infrastructure provided by Campus Berlin-Buch GmbH.
Please take note of the changes in our contact details:
Robert-Rössle-Str. 10 Haus D 85, 13125 Berlin
Tel.: +49-30-94893235, Mobil: +49-172-3957424