Title:  Real World Data Scientist

Location

Position：Real World Data Scientist

Grade: GG17

Report to: Head, RWDS B&O

Location: Beijing/Shanghai, China

Purpose and Scope

As an Associate Director of RWDS, you will be an analytic researcher informing and conducting Real World Data (RWD) studies at any time in the drug lifecycle. You will be primarily focused on local China needs whilst also taking some global responsibilities.   

You will work directly within the RWDS team to execute observational studies for internal and external consumption and partner closely with Development, Medical Affairs, and Pharmacovigilance/ Pharmacoepidemiology colleagues in their research. Additionally, you will collaborate closely with others in RWDS, EGAA, Biometrics and the broader Quantitative Sciences & Evidence Generation department to enhance our RWD and analytics offerings. 

RWDS is multidisciplinary and provides RWE strategic input, study design, statistical and programming support to projects. Team members apply their unique knowledge, skills and experience in teams to deliver decision-shaping real-world evidence.

Responsibilities and Accountabilities:

•    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 
•    Contributes to vendor selection with partner functions
•    Participate in the creation and upkeep of best practices, tools/macros, and standards related to methods, data and data analysis at Astellas 
•    Collaborate with RWDS , EGAA and Biometrics colleagues and cross-functional teams in Development, Medical Affairs and Pharmacovigilance 
•    Mentor and guide junior members of the RWD Analytics team.

Required Qualifications:

A doctorate or master's degree in statistics, data science, pharmacoepidemiology or a similar discipline 
•    More than 6 years of pharmaceutical industry hands-on experience in design and execution of observational studies and analyzing RWD 
•    Abreast of real-world data capabilities, data sources and evidence opportunities in China - with experience of generating RWE in the Chinese setting 
•    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  
•    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
•    Strong written and verbal English communication skills; Chinese language proficiency as required by local role expectations. 

Preferred Qualifications:

•    Experience with observational studies utilizing major EHR and claims databases from other countries in APAC, US, UK and/or EU
•    History of collaborations with organizations in the RWE ecosystem
•    Experience representing statistical or RWD functions in discussions with regulatory authorities or HTA bodies
•    Track record of scientific publications or congress presentations