Business Consulting

With 20 years of experience in the pharmaceutical and biotechnology industry, Genedata is an ideal partner for the planning and realization of scientific software and data management projects.

In order to truly get the full ROI from complex software and hardware environments, workflows and processes driving innovation must be understood both on the micro and the macro level. Our scientific experts have domain expertise and a profound understanding of these processes, which uniquely positions us to develop, implement, and improve research and development processes.

Genedata offers a number of business and scientific consulting services, including:

  • Definition and implementation of data-driven processes in research, development and manufacturing
  • Development of reporting and consolidation strategies for R&D data
  • Software and hardware integration and interlinkage strategies
  • Decommissioning (including data transfer), replacement, or integration of legacy software or hardware environments
  • Drafting and fitting new technology approaches into existing and working environments
  • Data workflow and data structure analysis and optimization

Scientific Consulting

Addressing the complete life cycle of R&D projects, from early-stage feasibility studies through late-stage product development, Genedata scientific consulting delivers a full portfolio of analytic and bioinformatics services. Our offering starts with collaborative development and definition of strategic approaches for any given task. The defined solution can be fully implemented by our development team, who can also perform the actual data analysis, or we can support customer-driven implementation. Once your systems are up and operational, we offer ongoing support.

A sampling of projects where Genedata has successfully added value include:  

  • Embedding of data analysis resources into customer organizations on an ad-hoc basis
  • Stratification of patients using biomarker profiles to predict response to targeted therapies
  • Proprietary genome annotation, including gene calling and functional annotations up to the pathway level (for prokaryotes as well as eukaryotes)
  • Production strain comparisons, including interpretations of biological effects of variants
  • Cellular signaling network reconstructions for proprietary strains, based on expression and regulatory sequence data
  • Provision of specialists for NGS and omics based biomarker studies
  • Creation of statistical expression analysis reports (e.g., of microarray or RNAseq data)