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Join Amgen’s Mission of Serving Patients. In this vital role you will design and analyze clinical trials, using statistical methods to support drug development and regulatory submissions.
Job Responsibility:
Design and analyze clinical trials, using statistical methods to support drug development and regulatory submissions
Provide statistical contributions, statistical review, and quality control of Key Design Elements, protocols, randomization specifications, Statistical Analysis Plans, Table, Listing and Graph shells, Submission Data File specifications, other key study related documentation, protocol deviations, Flash Memos, Clinical Study Reports, clinical publications, and other communications
Completing statistical analysis of individual studies/projects
Publish applied research in scientific journals and books, and give presentations on statistical methodology in the biopharmaceutical setting at external scientific meetings (biopharmaceutical industry and academic meetings)
Being familiar with statistical policy and strategies
Stay abreast of the latest developments in the field of statistics in drug development and contribute to scientific advances in the field
Communicate the role of the Global Biostatistics department, and contribute to statistical training within Global Biostatistics
Assist in the review of Amgen Policies, SOPs, and other controlled documents
Assist with study and systems audits conducted by Amgen internally and external bodies
Use SAS and R to produce comprehensive tables and graphs to collect any summarize outcomes.
Requirements:
Master’s degree or foreign equivalent in Statistics, Biostatistics or related field & completion of a university-level course, research project, internship, thesis, or one year of experience in the job offered or experience in any occupation in which the required experience was gained: Designing experiments or clinical trials to meet project requirements, regulatory standards, or scientific objectives, including development of protocols and Statistical Analysis Plans (SAPs)
Utilizing SAS, R or other statistical software to analyze clinical study data or observational study data
Assessing, implementing or developing new statistical methods to improve efficiency and validity of clinical trials
Utilizing R or other statistical software to perform simulations to evaluate operating characteristics of analytic methods or design options
Utilizing programming software to develop tools to evaluate methods or statistical designs including creation of software packages or interactive tools
Performing causal inference analyses on clinical trial or observational datasets to address potential biases and confounding factors
Employ trial design strategies to mitigate challenges such as high dropout, skewed distributions, missing data, and confounding, including the use of robust regression and imputation.
What we offer:
Stock
Retirement
Medical
Life and disability insurance
Eligibility for an annual bonus
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, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models, including remote and hybrid work arrangements, where possible