Real-World Data Scientist
Role details
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Tech stack
Job description
We are hiring a Real-World Data Scientist to join our Real-World Data Science (RWDS) team. As a Senior Manager of RWDS, you will be an analytic researcher informing and conducting Real World Data (RWD) studies at any time in the drug lifecycle. 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, Biostatistics 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. Hybrid Working: At Astellas we recognise the importance of balancing your work and home life, so we offer a hybrid working solution allowing time to connect with colleagues in person at the office alongside the flexibility to work from home; optimising the most productive work environment for you to succeed and deliver. Key Activities For This Role:
- Execute (program and analyze) observational studies using (mostly in-house) RWD.
- 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 and publications.
- Ensure efficient planning, execution and reporting of analyses.
- Advise as subject matter expert in specific data access partnerships.
- Follow and participate in the upkeep of best practices related to methods, tools/macros, and standards for data and data analysis.
- Collaborate with RWDS and Biostatistics colleagues and cross-functional teams in Development, Medical Affairs and Pharmacovigilance.
Requirements
- Proven pharmaceutical industry hands-on experience in 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.
- Proficiency in SQL, and SAS or R required, with working knowledge of Python beneficial.
- Well-versed in data visualization, statistical analysis, and preferably machine learning methodologies.
- Proficiency in planning analyses for non-interventional studies, preferably for primary data collection (i.e., prospective) as well as secondary use of data.
- Committed to seeking innovative methodology to generate data-driven insights.
- Ability to work 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.
- Good communication and collaboration, and experienced working in cross-functional teams.
Preferred Experience:
- Experience with the Oncology therapeutic area an advantage.
Education:
- A Doctorate or Master's Degree in Statistics, Data Science, Pharmacoepidemiology or a Similar Discipline.
Benefits & conditions
- This is a permanent, full-time position, based in the United Kingdom.
- This position follows our hybrid working model. Role requires a blend of home and minimum once a quarter in office. Flexibility may be required in line with business need.