Director, Data Science and Computational Biology at Pfizer
Berlin, Berlin, Germany
My main interest is to harness the current wealth of genetic, transcriptional, and metabolomic data to solve biomedical problems. To that end, I am leading a team of talented scientists spanning various disciplines. We design, implement and apply innovative methods to impact R&D ranging from target validation to prediction of toxicological endpoints to biomarker discovery in clinical...
My main interest is to harness the current wealth of genetic, transcriptional, and metabolomic data to solve biomedical problems. To that end, I am leading a team of talented scientists spanning various disciplines. We design, implement and apply innovative methods to impact R&D ranging from target validation to prediction of toxicological endpoints to biomarker discovery in clinical trials. I am involved in several large-scale academic and industrial collaborations and served on Ph.D. thesis committees for students at Boston University and Georgia Tech.Director, Data Science and Computational Biology @ From September 2014 to Present (1 year 4 months) Affiliated Scientist @ From April 2015 to Present (9 months) Associate Research Fellow @ From July 2013 to September 2014 (1 year 3 months) Associate Research Fellow @ From September 2011 to July 2013 (1 year 11 months) Senior Principal Scientist @ My main responsibility was the application of statistical / machine learning techniques to computational biology and chemistry projects across Pfizer research. At the same time, I was the Biological Systems Domain Lead for the CS CoE. In the intersection of these two roles, I designed and implemented methods to leverage large-scale curated information for the interpretation of transcriptional profiling and genetics variant sequencing data (received Innovation Award in 2010). From October 2008 to December 2011 (3 years 3 months) Sr. Research Scientist @ I was the Scientific Lead for a global project to enable enterprise-wide pathway analysis of experimental data. In that role, I successfully applied innovative algorithms to projects while at the same time collaborating with the software team on the best design patterns and technologies to use for a scalable, enterprise solution. I was also involved with several other projects including ODE-based simulation of cardiac arrythmias and statistical evaluation of high-throughput screening (HTS) results. From February 2004 to August 2008 (4 years 7 months) Consultant @ From 2002 to 2004 (2 years) Ph.D, Bioinformatics @ Ludwig-Maximilians Universität München From 2002 to 2004 Diploma (M.Sc.), Computer Science @ The University of Bonn From 1995 to 2000 Computer Science @ University of Tennessee-Knoxville From 1997 to 1998 Daniel Ziemek is skilled in: Bioinformatics, Biomarkers, Genomics, Machine Learning, Genetics, Drug Discovery, Text Mining, Lifesciences, Systems Biology, Biotechnology, Computational Biology, Biomarker Discovery, Biochemistry, Molecular Biology, R, R&D, Statistics, Data Mining, Life Sciences
Pfizer
Director, Data Science and Computational Biology
September 2014 to Present
Karolinska Institutet
Affiliated Scientist
April 2015 to Present
Pfizer
Associate Research Fellow
July 2013 to September 2014
Pfizer
Associate Research Fellow
September 2011 to July 2013
Pfizer
Senior Principal Scientist
October 2008 to December 2011
Sanofi-Aventis Pharma
Sr. Research Scientist
February 2004 to August 2008
BioSolveIT GmbH
Consultant
2002 to 2004
What company does Daniel Ziemek work for?
Daniel Ziemek works for Pfizer
What is Daniel Ziemek's role at Pfizer?
Daniel Ziemek is Director, Data Science and Computational Biology
What industry does Daniel Ziemek work in?
Daniel Ziemek works in the Pharmaceuticals industry.
Who are Daniel Ziemek's colleagues?
Daniel Ziemek's colleagues are Jing Liao, Rebecca Booth, Marie-Claude Dufresne, Jack PhD, Christa Albeck, Laura MBA, Amy Trotch, Aimee Greene, Ann Kotze, and Jack Ph.D.
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