Staburo GmbH


Provider of biostatistics, data science, statistical programming, data management, bioinformatics and regulatory support for pharmaceutical, biotech, medical device companies and CROs. Services cover clinical trial design and analysis (phases I–IV), CDISC-compliant programming and validation, translational biomarker analytics, data transparency and disclosure, PK/PD analyses, and HTA/submission support.

Industries

N/A

Nr. of Employees

small (1-50)


Services

Expert consulting on statistical planning, sample size, SAPs, randomisation, interim analyses and regulatory interactions for clinical trials.

Management and execution of complete biostatistics projects including statistical analysis for phases I–IV, programming, validation and submission deliverables.

Provision of biostatisticians and statistical programmers to support client teams during work peaks or for on-site collaboration and vendor oversight.

Creation of analysis datasets, TLFs, CDISC mapping and program validation including code review and double programming where needed.

EDC provisioning, CRF design, database build and testing, edit-check programming, data cleaning and medical coding.

Preparation of clinical protocols, CSRs, statistical reports, investigator brochures, informed consent forms, lay summaries and pharmacovigilance documents.

View All Services

Expertise Areas

  • Clinical trial statistics and analysis (phases I–IV)
  • Statistical programming and CDISC implementation
  • Data management and EDC systems
  • Bioinformatics and omics analytics
  • Show More (5)

Key Technologies

  • Statistical programming (SAS, R)
  • CDISC standards (SDTM, ADaM)
  • Bioinformatics workflows for genomics/omics
  • PK/PD modelling and simulation
  • Show More (4)

News & Updates

Announcement that the company received a Kununu Top Company recognition for 2026 based on independent reviews.

Summary of activities and developments in the company's biomarker work, including participation in PSI Biomarker SIG and collaborative deliverables.

Announcement that part of the company's bioinformatic analysis work was published in a scientific journal related to a Phase 2 CKD study.

Release and description of a newly developed R package implementing a variable selection method for random forests.


Similar organizations

Browse all ORGANIZATIONS

JOIN OUR MAILING LIST

Stay Connected with MTEC

Keep up with active and upcoming solicitations, MTEC news and other valuable information.