Principal Statistical Programmer RWE EU

Daiichi Sankyo Europe

Multiple Locations, Europe

The position:

The ideal candidate for this position will provide statistical/data science programming as well as technical support for Daiichi Sankyo’s EU RWE projects/initiatives by close collaboration with EU or US based RWE biostatistician and other collaborators. This role will deliver the values through secondary data such as EMR or claims data analysis.

Roles & responsibilities:

EU RWE Statistical analysis support: Provide programming support for EU RWE project or study to deliver the TLFs on time and support ad-hoc requests.
Statistical macro: Develop necessary programming macros or tools to effectively support all programming needs. Responsibilities include developing the macros or tools e.g., interactive web based tools such as R Shiny to facilitate programing efficiency, bring an innovative ideas/solution to the projects, supporting the maintenance of pre-existing macros.
Evaluate, assess, and enhance DSI computing environment system: Assess DSI new computing environment system for programming and analysis efficiency, identify system bug/issue and lead the activity to enhance the system, develop system training materials and work as the SME to support implementation, evaluate, request and approve system upgrades, and propose/develop system utilities, provide input to build a strong RWD environment, RWE computing environment, promote innovative solutions, operational excellence and develop efficient processes and standards for RWE.
Advanced analytics: Demonstrate high level proficiency for Artificial Intelligence (AI) and Machine Learning (ML) technology, building predictive models, and application of External Control Arm, align with future roadmap, network with other business area/analytics group to promote the advanced analytics or methodologies.

Professional experience & education:

Successful candidates will be able to meet the qualifications below with or without a reasonable accommodation.
MS in Statistics/Biostatistics or Pharmaco-epidemiology.
4 years (MA) – 7 years (BA) relevant experience in the pharmaceutical industryExcellent understanding of statistical methodologies, real-world data, and observational studies.
Experience on SQL and statistical software (e.g., SAS, R, Python) and secondary data sources including registries, EMR and claims is an advantage.
Excellent oral and written communication skills.
Excellent Project planning skills.
Excellent collaborating skills.
Oncology experience preferred.

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