
Senior Manager, Biostatistics
Emeryville, CAJobSeen 1mo agoSeen in employer's feed 3 days ago
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Requirements
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Job overview
The Senior Manager, Biostatistics provides project support for real‑world data and evidence analyses, developing protocols, analyzing large datasets, collaborating with programming staff, and delivering statistical consultation and training while managing projects to meet timelines and budgets.
Skills & qualifications
Skills
Qualifications
Full job description
General Description:
The Senior Manager, Biostatistics provides project support for RWD/RWE analyses.
Essential Functions of the Job:
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Develops individual protocol/SAP and determines appropriate statistical methodology for RWD/RWE studies.
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Analyzes large datasets from diverse sources, including claims databases, registries, patient-reported outcomes, and EHR.
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Participates in database design meetings to ensure that the data collected are in high quality and satisfy analysis requirements.
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Collaborates with the statistical programming staff to ensure that all programs meet analysis and external requirements.
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Performs key and innovative part of the analyses and interprets results.
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Prepares oral and written reports to effectively communicate results.
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Reviews stat related documents during projects initiation, conduct and reporting when external vendors involved.
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Is involved in research activities for innovative statistical methods and applications.
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Prepares materials and conducts training to internal/external audience in venue initiated by MA and commercial.
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Provides statistical consultation and review to other request from other functions (i.e. clinical development or commercial).
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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:
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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).
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Basic knowledge of statistical analysis methodologies and experimental design.
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Basic knowledge of relational databases and programming languages such as SQL, R, Python, or SAS in big data environment
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Demonstrates interest in statistical research activities and application of novel methods to clinical trial development and RWE.
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Basic good presentation, oral and written communication skills.
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Ability to learn, being proactive, motivated, and consistently focus on details and execution.
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Ability to work in a team environment with cross-functional team members.
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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.
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