Senior Manager, Biostatistics (Evergreen)

Role Summary

The Senior Manager, Biostatistics provides project support for RWD/RWE analyses.

Responsibilities

• Develops individual protocol/SAP and determines appropriate statistical methodology for RWD/RWE studies.
• Analyzes large datasets from diverse sources, including claims databases, registries, patient-reported outcomes, and EHR.
• Participates in database design meetings to ensure that the data collected are in high quality and satisfy analysis requirements.
• Collaborates with the statistical programming staff to ensure that all programs meet analysis and external requirements.
• Performs key and innovative part of the analyses and interprets results.
• Prepares oral and written reports to effectively communicate results.
• Reviews stat related documents during projects initiation, conduct and reporting when external vendors involved.
• Is involved in research activities for innovative statistical methods and applications.
• Prepares materials and conducts training to internal/external audience in venue initiated by MA and commercial.
• Provides statistical consultation and review to other request from other functions (i.e. clinical development or commercial).
• Problem Solving - Identifies and resolves problems in a timely manner; Gathers and analyzes information skillfully.

Qualifications

• PhD or equivalent degree in statistics/biostatistics or related discipline with a minimum of 2 years relevant work experience, or a Master’s degree with a minimum of 4 years relevant work experience (see each box for detailed year requirement).
• Basic knowledge of statistical analysis methodologies and experimental design.
• Basic knowledge of relational databases and programming languages such as SQL, R, Python, or SAS in big data environment.
• Demonstrates interest in statistical research activities and application of novel methods to clinical trial development and RWE.
• Basic good presentation, oral and written communication skills.
• Ability to learn, being proactive, motivated, and consistently focus on details and execution.
• Ability to work in a team environment with cross-functional team members.
• Computer Skills: SQL, R, Python, SAS, Microsoft office apps.

Skills

• Statistical programming and data analysis
• RWD/RWE study design and methodology
• Database design and data quality assessment
• Communication of complex statistical results

Education

• PhD in statistics/biostatistics or related discipline or Master’s degree with relevant experience as specified above.

Additional Requirements

• Travel: Yes, depends on needs.