Biostatistical Programming Manager
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Job Description
Biostatistical Programming Manager at Amgen facilitating data analysis and collaboration with epidemiologists in the Center for Observational Research. Ensuring data accuracy and mentoring junior programmers in statistical programming.
Responsibilities:
- Join Amgen’s Center for Observational Research (CfOR) organization
- Support CfOR by setting goals with epidemiologists and laying out strategy to deliver on those goals
- Coordinate with a functional service provider-based team of contract statistical programmers
- Identify potential efficiency improvements and propose solutions
- Ensure the analysis and presentation of biomedical data is accurate and complete
- Adhere to Amgen policies, SOPs, and other controlled documents
- Review and approve key study-related documents produced by other functions
- Write, and/or review and approve programming plans and analytic dataset specifications
- Represent the programming function in multidisciplinary team meetings
- Contribute to the continuous improvement of programming, CfOR, and R&D processes
- Participate in the development and review of CfOR Policies, SOPs and other controlled documents
- Support and mentor junior programmers
Requirements:
- Doctorate degree in Computer Science, Data Science, Statistics, Mathematics, or Life Sciences OR Master’s degree and 3 years of Computer Science, Data Science, Statistics, Mathematics, or Life Sciences OR Bachelor’s degree and 5 years of Computer Science, Data Science, Statistics, Mathematics, or Life sciences
- Demonstrated ability to write, test and validate software programs and macros in SAS, Databricks, or R to produce analysis datasets and presentation output, to be included in reports for submission to regulatory agencies, publications and other communications
- Experience with real world healthcare data such as Flatiron, Ontada, MarketScan, Optum, Medicare and EMR databases
- Minimum five years SAS statistical programming experience
- Database programming using SQL and/or experience with advanced statistical methods such as survival and regression.
Benefits:
- A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions
- group medical, dental and vision coverage
- life and disability insurance
- flexible spending accounts
- A discretionary annual bonus program
- Stock-based long-term incentives
- Award-winning time-off plans
- Flexible work models where possible.
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