About the Role
The role involves analyzing real-world data to inform therapeutic development decisions using statistical and computational methods within a collaborative research environment.
Responsibilities
- Analyze real-world datasets to identify patterns relevant to disease progression
- Develop statistical models to evaluate treatment outcomes from observational data
- Collaborate with research teams to define data-driven study objectives
- Validate data sources for accuracy and clinical relevance
- Translate complex data findings into actionable insights for non-technical stakeholders
- Apply machine learning techniques to extract signals from heterogeneous health records
- Ensure data privacy and regulatory compliance in all analyses
- Work with engineering teams to integrate analytical pipelines
- Support the design of retrospective studies using electronic health records
- Evaluate data quality across multiple healthcare databases
- Produce reproducible analytical workflows using version-controlled code
- Present findings to internal teams through visualizations and reports
- Contribute to grant applications and scientific publications
- Stay current with advancements in real-world data methodologies
- Optimize data processing for scalability and performance
- Participate in cross-functional project teams focused on therapeutic areas
- Assess biases in observational datasets and adjust analytical approaches
- Integrate genomic and clinical data for deeper phenotypic characterization
- Use natural language processing to extract information from clinical notes
- Support regulatory submissions with robust analytical evidence
- Collaborate on data strategy for new research initiatives
- Mentor junior analysts in best practices for data science
- Ensure transparency and auditability of analytical processes
- Work with external partners to access novel data sources
- Contribute to the development of internal data science tools
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid work model with flexible scheduling
Team
Integrated team of data scientists and computational biologists
About the Role
This position is embedded within a research group focused on leveraging real-world evidence to accelerate therapeutic discovery. The scientist will work directly with clinical, engineering, and biology teams to translate data into insights.
What We Value
We prioritize scientific integrity, collaborative problem solving, and the ability to derive meaningful conclusions from complex datasets. Candidates should demonstrate a strong alignment with these principles.
Available for qualified candidates
