This role will work closely with peers in the RWD team of DigitalX and internal stakeholders from other functions. The desired insights will impact decision making and our ability to deliver maximal value to patients.
This individual will:
- Assist in the identification and evaluation of potential data sources to fill gaps
- Work as member of cross-functional team to scope out analyses to address key questions
- Develop programs that execute analyses on a common data platform for quick, reliable information on patient populations in the US and globally.
- Ensure that analyses are statistically valid and appropriately planned and executed;
- Deliver prototypes of new analytical methods, dashboards, and tools that enable efficiencies 【職務の内容 / Essential Job Responsibilities】 (雇入れ直後)
- Support team members in the development of analytic modules as requested
- Contribute to tool planning and design
- Conduct exploratory data analyses of data sources to assess fit for purpose; incorporate into disease-specific data tables to support integrated analyses.
- Implement analyses and studies, defining endpoints, executing protocols with data programming, conducting statistical analyses using primarily R and SQL
- Deliver innovative prototypes involving new methods, visualizations, integrations, and customizations that enable democratization of data, knowledge, and insights throughout Astellas(変更の範囲) 会社内での全ての業務 【Organizational Context】The Analytic Package Developer reports directly to the Director, Digital Product Development. They will collaborate closely with a cross-functional team across Astellas functions and geographies that is tasked with developing tools to facilitate the generation of reliable patient population information. 【応募要件 / Qualifications】
- 3+ years relevant experience
- Master's degree in statistics, predictive analytics or other relevant analytical fields
- Experienced programmer in R, Shiny and SQL
- Experience working with the OMOP Common Data Model and OHDSI tools
- Experience rapidly innovating and delivering software prototypes meeting customer requirements
- Familiar with cloud computing working environments
- Consistent track record of developing and executing analyses with various types of patient-level RWD data sources including large clinical registries, insurance claims, electronic medical records, laboratory results, genetic markers, gene expression data, mutation data, and potential digital assets that may be derived from biobank specimens
- Familiar with reproducible research practices like version control and literate programming
- Experience working on project teams and managing projects within a matrix environment
- Excellent organizational, people, project and time management skills
- Solid oral, written, and presentation communication skills (e.g. able to clearly communicate statistical and epidemiological issues and methods to statisticians and non-statisticians) 〈Preferred〉
- Advanced degree
- Work experience in support of biopharmaceutical R&D activities
- Experience with other statistical programs and programming languages
- Working knowledge of common databases and repositories in the US, Europe, and Asia such as insurance claims, EMR, registries, and omics.
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