Astellas Pharma Inc. is looking to hire an experienced real-world data scientist to join their Real-World Data Science (RWDS) team to inform and conduct Real World Data (RWD) studies throughout the drug lifecycle, execute observational studies, and enhance RWD and analytics offerings.
Requirements
- More than 6 years of pharmaceutical industry hands-on experience in design and execution of observational studies and analyzing RWD, including major EHR and claims databases from the US, UK, EU, and/or Japan
- Experience in analyzing a diverse set of RWD study types (description, association, prediction, causation), including incidence & prevalence, treatment pattern, healthcare resource utilization, cost, outcomes, and effectiveness
- Advanced and broad knowledge of statistical methods, along with understanding of industry practices & guidelines related to the analysis of RWD
- Proficiency in SQL, and SAS or R required, with working knowledge of Python beneficial
- Well-versed in data visualization, statistical analysis, and machine learning methodologies
- Proficiency in non-interventional research design for primary data collection (i.e, prospective) as well as secondary use of data
- Committed to seeking innovative methodology to generate data-driven insights
Responsibilities
- Provide best-in-class data science support to Astellas drug development programs & marketed products in relation to RWD
- Design of observational studies (primary and/or secondary data)
- Execute (program and analyze) observational studies using in-house RWD or oversee vendors or other RWDS staff in executing observational studies
- Write, review, or contribute to key study documents to ensure optimal methodological & statistical presentation. These documents include, protocols, analysis plans, tables and figure (TLF) specifications, study reports, publications
- Ensure efficient planning, execution and reporting of analyses
- Advise as subject matter expert in specific data access partnerships
- Represent the company on matters related to RWD analysis at meetings with regulatory authorities, key opinion leaders and similar experts/bodies as needed
Other
- A doctorate or master's degree in statistics, data science, pharmacoepidemiology or a similar discipline
- Experience working across geographies with globally distributed teams
- Self-starting performer with the demonstrated capacity to operate both independently and collaboratively in a fast-paced, team-oriented setting
- Excellent communication and collaboration, and experienced working in cross-functional teams.
- Hybrid work from certain states may be permitted in accordance with Astellas’ Responsible Flexibility Guidelines.
