Job Informationen

Location: Basel Workload: Full-time Your tasks: Work through our customer's entire data ecosystem to understand their needs and where to find and collect that information Build data wrangling program with Databricks and statistical models based on clinical and Real World Evidence data. Transform data in defined standards using controlled terminologies Support the evaluation of the designed models and present results through data visualization Your profile: University Degree in Statistics, Biology, Computer Science, Bioinformatics, etc. 3 - 5 years of relevant work experience in Data Science within Life Sciences R&D domain Good understanding and work exposure with Databricks Experience in data wrangling, modelling, integrating and comparing a wide range of clinical data types Hands-on experience with real-world data (e.g., UKBB, CPRD, claims, registries) Strong knowledge of the OMOP data model and mapping RWD to OMOP Proven ability to transform data into fixed models and apply internal/external controlled terminologies Databricks expertise, including code optimization and workspace configuration for efficient pipelines Azure DevOps (ADO) experience, including preparing pipeline releases to Databricks Demonstrated experience working in regulated environments (e.g., pharma) — built experience with compliance and documentation expectations Preferable: experience with CDISC clinical data standards and models Willingness to travel to customer offices quarterly; 3–5 days onsite for onboarding preferred. Work well within a team and collaborate with individuals with technical and non-technical backgrounds Strong communication skills, both verbal and written Work exposure within an international environment in life sciences field Fluent in English (in writing and speaking), German or French would be an advantage

Benötigte Skills

• Deutsch
• Englisch
• Französisch
• Azure
• Biologie
• Pharma
• Compliance
• Support
• DevOps
• Bioinformatik
• Bachelor
• Master