Senior Associate Biostatistical Programming(Taipei, Taiwan)
HOW MIGHT YOU DEFY IMAGINATION?
Amgen is one of the worldâs leading independent biotechnology companies. For over 4 decades, Amgen has pioneered biotechnology breakthroughs, to bring state-of-the-art medicines from laboratory to the patient. Amgen has not only discovered and developed innovative human therapeutics but has invested in cutting edge manufacturing capability and support services to deliver these exciting therapies to medical teams around the world. Japan and Asia Pacific (JAPAC) is the fastest growing region in Amgen. Now we are hiring a Senior Associate Biostatistical Programming.
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What you will do
Amgen focuses on areas of high unmet medical need, leveraging its expertise to deliver innovative solutions that improve health outcomes and lives. Since 1980, Amgen has become one of the worldâs leading biotechnology companies, reaching millions of patients globally and developing a robust pipeline of novel medicines.
Observational research plays a critical role in drug development and commercialization as regulators and payers increasingly rely on real-world evidence (RWE) to guide decision-making. The Center for Observational Research (CfOR) at Amgen generates and applies RWE across the drug development lifecycle to further understand the nature of disease (frequency, distribution, clinical course), and the safety and effectiveness of medicines.
Amgen is seeking a Senior Associate Biostatistical Programmer to join CfOR in Taiwan. This role supports generating RWE through hands-on programming, data management, and generating reports based upon real-world data of health care. The programmer will partner with epidemiologists and cross-functional teams to clarify requirements, resolve issues, and deliver high-quality outputs.
The ideal candidate holds a bachelorâs degree and has at least four years of relevant experience in statistical programming, including postgraduate research experience. Proficiency in SQL, SAS, and R programming is required. Strong scientific, technical, and communication skills; problem-solving; and ability to work effectively within a global team are essential.
Responsibilities:
Develop, test, validate, and execute programming code and macros that generate analysis datasets and tables, listings, and figures to support decision making in drug development
Lead and develop technical programming and process improvement initiatives within CfOR
Represent the programming team and collaborate with peers in clinical and epidemiology functions
Manage programming activities and provide technical solutions to programming issues
Ensure programming activities adhere to departmental standards and SOPs as well as local compliance and regulatory standards
Write and review programming plans and dataset specifications
Review key study-related documents including but not limited to statistical analysis plans (SAPs) and data management plans (DMPs)
Participate in the development of departmental policies and controlled documents
Participate in the recruitment of programming staff
Actively participate in external professional organizations, conferences, and meetings
Contribute to the continuous improvement of programming processes
Win
What we expect of you
Qualifications
Masterâs degree in Computer Science, Statistics, Mathematics, Life Sciences, Business Analytics,or related field OR
Bachelorâs degree and 2 years of directly related experience OR
Associateâs degree and/or 4 years of directly related experience OR
High school diploma / GED and 6 years of directly related experience
At least four (4) years of relevant statistical programming experience in a clinical development or life sciences setting, including postgraduate research experience
Experience in SQL, and statistical programming using SAS and R
Track record establishing analysis standards, QC/QA processes, and controlled change management.
Experience or willingness to learn the process of delivering regulatory-grade analyses and submission-ready deliverables
Foundational understanding of medical statistics (e.g., study design, hypothesis testing, confidence intervals).
Real-world evidence (RWE) generation in pharmaceutical or related research industries, or statistical programming for clinical trials
Strong individual contributor, proficient in developing analysis datasets, identifying data anomalies, and ensuring program accuracy
Motivated to learn how to work with real-world healthcare data (RWD) such as MDV and DeSC
Experience with Git-based version control and maintaining analysis documentation.
Ability to produce validated, traceable, and reproducible analysis outputs under SOPs and quality systems.
What you can expect of us
As we work to develop treatments that take care of others, so we work to care for our teammatesâ professional and personal growth and well-being.
Vast opportunities to learn and move up and across our global organization
Diverse and inclusive community of belonging, where teammates are empowered to bring ideas to the table and act
Generous Total Rewards Plan comprising health, finance and wealth, work/life balance, and career benefits
Your selection for this role will be subject to fulfilling the medical requirements of this job scope. If so, you will be informed of the medical check(s) that you may need to undergo. All medical related expenses incurred from this medical check shall be borne by the company.
In our quest to serve patients above all else, Amgen is the first to imagine, and the last to doubt. Join us.
careers.amgen.com
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
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