Description
We are seeking a senior data analyst to join our dedicated Real-World Evidence (RWE) FSP team, working within a prominent pharmaceutical company. As part of our Data Science, Analytics, and Technology Solutions (DATS) team, you will lead the development of datasets and conduct longitudinal analyses for observational studies in oncology.
Key Responsibilities:
- Lead development of analytic datasets through raw data processing and conduct data checks/cleaning using secondary real-world data sources, including claims, EHR, and lab data
- Lead feasibility assessments of real-world data sources to characterize patient populations, build patient cohorts, and define and validate key variables
- Conduct and QC analyses, identify diagnosis and treatment codes, and apply statistical methods to handle censor data, confounding, and missing data
- Collaborate with epidemiologists to define specifications for descriptive and complex statistics in studies using RWD for oncology research questions
- Develop and QC TFLs for protocols/reports/manuscripts using RWD
- Support development of study documents, including protocols, statistical analysis plans, and study reports
- Communicate timelines, progress reports, and results to project teams and key stakeholders
- Provide technical expertise and independently bring project solutions to the team for complex studies
Requirements:
- Master's degree in Biostatistics, Epidemiology, Data Science, or related field with 5-8 years of relevant experience, or PhD with 3 years of relevant experience
- Strong track record of analysis of RWD using claims, EMR, and lab data
- Experience analyzing oncology data and safety outcomes is preferred
- Demonstrated proficiency in advanced R Programming
- Prior pharmaceutical experience and advanced knowledge of observational research study design and analytic methodologies
- Excellent analytic and communication skills with attention to detail
- Ability to effectively manage and prioritize multiple tasks and projects