Senior Manager, Biostatistics

BeOne Medicines; Emeryville (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

BeOne Medicines seeks a Senior Manager of Biostatistics to lead statistical aspects of RWD/RWE studies, developing protocols, SAPs, and selecting methods. You will analyze diverse data sources and collaborate with programming teams to ensure high-quality analyses and regulatory-ready results.

The role requires strong statistical expertise, experience with big data environments, and the ability to communicate complex results to multi-disciplinary teams. Travel is possible as needed.

Qualifications

• PhD or equivalent in statistics/biostatistics or related discipline with 2+ years relevant work experience, or a Master’s with 4+ years
• Basic knowledge of statistical analysis methodologies and experimental design
• Relational databases and programming languages such as SQL, R, Python, or SAS in big data environment
• Interest in statistical research and novel methods in clinical trials and RWE
• Strong presentation, oral and written communication skills
• Ability to learn, be proactive, and focus on details and execution
• Ability to work in a cross-functional team
• Proficient in SQL, R, Python, SAS, and Microsoft Office apps

Responsibilities

• Develops protocol/SAP and selects suitable statistical methods for RWD/RWE studies
• Analyzes large datasets from claims, registries, PROs, and EHR
• Participates in database design to ensure data quality for analysis
• collaborates with statistical programming to meet analysis requirements
• Interprets results and performs innovative analyses
• Prepares oral and written reports communicating results
• Reviews statistical documents during project initiation, conduct and reporting
• Involved in research activities for innovative statistical methods
• Prepares materials and conducts training for internal/external audiences
• Provides statistical consultation to other functions such as clinical development or commercial
• Problem Solving and project management: identify issues, communicate progress, complete on time and budget

Skills

Statistical analysis

Biostatistics

Team collaboration

Communication

Education

PhD in Statistics/Biostatistics

MS in Statistics (with experience)

Tools

SQL

R

Python

SAS

MS Office

Job description

General Description

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

Essential Functions of the Job

• 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. Project Management - Communicates changes and progress; Completes projects on time and budget.

Education/Experience Required

• 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.

Travel: Yes, depends on needs.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.