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Searching for job as Computational Biologist/Biostatistician

posted Aug 5, 2010, 2:38 AM by Jitao David Zhang   [ updated Dec 2, 2010, 4:15 PM ]
As a trained computational biologist at the Universtität Heidelberg and German Cancer Research Center (DKFZ), Heidelberg, I will finish my Ph.D. (Dr. rer. nat) training under the supervision of PD Dr. Stefan Wiemann in the last quarter of 2010. With my know-how I am applying for a career entry point in the industry, where I could work as computational biologist and/or biostatistician.

My preference lies in pharmacological and human-disease focusing companies, since my expertise in the novel field of computational biology, biostatistics and pathway/network analysis contributes to the novel research and development of the company. Careful experimental design, project-specialized analysis and integrated network analysis do not only save research cost, but also contribute to the invention of new therapeutic approaches.

I am searching a full-time position in
  • Preferentially pharmacological, human-disease focusing pharmacological/biotechnology companies,
  • preferentially located in Germany or Switzerland.
  • The position is to be filled with someone who conducts computational biology research for therapeutic and diagnosis tools with up-to-date interdisciplinary tools.
  • I would like to join a competent international team which work closely and collaborate with colleagues at bench or in the clinics.
  • the position provides chances to learn and explore new fields.
My basic profile includes:
  • Four year experience working as computational biologist and biostatistician in translational oncology research (breast cancer, GIST)
  • Rich expertise in oncological genome biology, as well as experience with data from molecular and cellular biology high-throughput platforms.
  • Experienced in target and biomarker prediction
  • Theoretical and practical expertise in programming computational and statistical software
  • Managing several high-throughput quantitative screening projects reporter-assay, high-content microscopy and profiling platforms (experiment design, quality control, statistical modelling, functional analysis, pattern recognition, network analysis)
  • Rich experience in pathway data integration and biological network analysis with data mining approaches, topology network analysis as well as network modelling approaches
  • Experienced in data management (SQL) and data exchange
  • Involved in several clinical studies on breast cancer, bladder cancer and GIST
  • Proved track record of scientific publications and peer-reviewed software distributions
  • Teaching/Coaching experience for R/Bioconductor and Biostatistics.
  • Outstanding project and time management skills