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Join Amgen’s Mission of Serving Patients. Contribute to Amgen’s pipeline of new molecules and commercial products, that are treating serious illnesses and transforming lives. The Principal CMC Statistician will use their expertise to implement statistical tools and techniques with science-based practices used throughout the product life cycle.
Job Responsibility:
Implement statistical tools and techniques with science-based practices used throughout the product life cycle
Provide multi-functional support to clinical and commercial manufacturing sites in the network including statistical support for activities such as process characterization and monitoring programs, analytical methods, specifications, and investigations
Support the development of delivery devices, providing statistical analysis, study designs, acceptance sampling plans and acceptance criteria for the development, qualification and transfer of physical test methods
Establish appropriate study designs and carry out evaluation of acceptance criteria for Design Verification testing
Support continuous improvement efforts across Amgen’s networks, leading to harmonization, efficiency gains and scientific innovation
Administration of statistical training for Amgen’s engineers and scientists
Act as a technical lead in the development, implementation and maintenance of statistical tools used to support product life cycle activities
Provide continuous statistical support to a site or functional group
Support regulatory audits
Participate in improvement efforts to promote statistical techniques used in biologics and monoclonal antibodies processes
Mentor and guide statistical techniques and software tools to technical associates
Stay up to date on biotechnology industry trends, standard processes, guidance documents and participates in external conferences
Requirements:
Doctorate Degree in Applied Statistics, Industrial Statistics or Non-clinical Biostatistics and 2 years of applied statistics experience
Master’s Degree in Applied Statistics, Industrial Statistics or Non-Clinical Biostatistics and 8 to 10 years of applied statistics experience
Bachelor’s Degree in Applied Statistics, Industrial Statistics or Non-Clinical Biostatistics and 10 to 14 years of applied statistics experience
Diploma in Applied Statistics, Industrial Statistics or Non-Clinical Biostatistics and 14 to 18 years of applied statistics experience
Nice to have:
Post-graduate degree with 6+ years’ experience in Biopharma manufacturing and control
Proficient in statistical tools and techniques commonly used in biopharma manufacturing operations, such as, Design of Experiments, Statistical Process Control, Process Capability Analysis, Measurement System Analysis, Acceptance Sampling Plans, Non-linear and Linear Regression, Significance Tests, and Simulation
Proficient in SAS and/or R programming (data manipulation techniques, macro, statistical and graphical PROCs, and ODS) and JMP statistical software
What we offer:
Vast opportunities to learn and move up and across our global organization
Diverse and inclusive community of belonging
Generous Total Rewards Plan comprising health, finance and wealth, work/life balance, and career benefits
Competitive and comprehensive Total Rewards Plans aligned with local industry standards