Senior Data Scientist with focus on Statistical Programming - part/full-time)
Staburo GmbH
München, Germany
8 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Shift work Languages
English, German Experience level
SeniorJob location
Remote
München, Germany
Tech stack
Clinical Data Repository
Data Visualization
R
SAP Applications
SAS (Software)
Data Processing
Information Technology
Job description
- Analysis of project data (e.g. trial data) and data processing
- Statistical programming with SAS and/or R, development of reusable programs (e.g. macros), data visualization, and output generation
- Specification and creation of (CDISC) analysis datasets
- Validation of datasets and outputs
- Support non-clinical / clinical development in all phases
Requirements
- University degree in data science, mathematics, computer science, or equivalent education with a good knowledge in statistics
- At least three years of experience in SAS programming and clinical research
- Experience in R programming
- Excellent working knowledge of clinical trial documents (CSR, SAP, CTR)
- Very good knowledge of clinical data
- Knowledge of CDISC standards (ADaM, define.xml, ADRG)
- Strong analytical and quick-learning skills
- Knowledge of basic statistical concepts
- Precise and accurate way of working
- Team player and a high degree of initiative
- Good English skills, German is an advantage
Benefits & conditions
Pulled from the full job description
- Work from home
- Flexible schedule
About the company
Staburo GmbH is a data science company, specialized in statistical consulting, programming and bioinformatics for healthcare projects. Our core competencies include Clinical Statistics, Translational Medicine & Biomarkers, Phase I & Pharmacokinetics/-Dynamics, Data Transparency & Disclosure Services, Health Technology Assessment and Bioinformatics. Our customers are international pharmaceutical companies, CROs, biotech companies and medical device manufacturers. Our steadily growing team supports our clients efficiently from study design to data analysis and finally the disclosing and posting of trial results.