Clinical
Let's do this. Let's change the world. In this vital role you will be responsible for developing and leading teams in their collaboration with epidemiological and programming colleagues across multiple time zones to ensure request fulfilment, clarify requirements, track projects, resolve issues, and deliver high-quality results. The Real-World Evidence (RWE) Biostatistical Programming Senior Manager in the Centre for Observational Research (CfOR) will report to a locally based Director of Biostatistical Programming.
The RWE Biostatistical Programming Senior Manager will be responsible for guiding managers and programmers in epidemiological and programming methods to ensure efficient delivery of project objectives. Additionally, they will be responsible for partnering with epidemiologists and RWE programming leads across CfOR to explore and generate RWE from real-world healthcare data assets - large Electronic Health Records (EHR) and healthcare claims databases. The ideal candidate should possess a master's degree and have at least eight years of relevant career experience in statistical programming. Proficiency in SAS and SQL programming is required, while experience with R and Python is preferred. The successful candidate will demonstrate scientific and technical excellence, exceptional oral and written communication skills, problem-solving abilities, and meticulous attention to detail. The ability to work effectively within a large, globally distributed team is essential.
Responsibilities:
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Provide technical solutions to programming problems within the Centre for Observational Research (CfOR)
Lead and develop technical programming and process improvement initiatives within CfOR
Represent the programming function and participate in multidisciplinary project team meetings
Project manage programming activities, according to agreed resource and timeline plans
Ensure programming activities adhere to departmental standards and SOPs
Write and/or review and approve programming plans
Write and/or review and approve analysis dataset specifications
Review and approve key study-related documents produced by other functions, e.g. SAPs, CRF, Data Management Plan, etc.
Write, test and validate software programs in Unix to produce analysis datasets and presentation output, to be included in reports for submission to regulatory agencies, publications and other communications
Write, test, validate and execute department-, product- and protocol-level macros and utilities
Oversee the work of outsourced resources assigned to projects
Lead and/or participate in the development and review of CfOR policies, SOPs and other controlled documents
Participate in study and systems audits by Clinical Quality Assurance (CQA) and external bodies, and respond to audit questions and findings
Participate in the recruitment of programming staff
Actively participate in external professional organizations, conferences and/or meetings
Provide input to and participate in intra-departmental and CfOR meetings
Contribute to the continuous improvement of programming, CfOR, and Research and Development (R&D)
Manage staff performance and oversee staff assignments and utilization
What we expect of you
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We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a with these qualifications.
Basic Qualifications:
Doctorate degree and 2 years of Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject OR
Master's degree and 8 to 10 years of Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject OR
Bachelor's degree and 10 to 14 years of Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject OR
Diploma and 14 to 18 years of Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject
Preferred Qualifications:
At least eight (8) years of relevant statistical programming, systems engineering or application programming experience in a clinical development or life sciences setting. Preferably working within RWE generation.
Managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources in a statistical programming team working with real-world healthcare data (RWD)
Experience leading a statistical programming team within RWE
RWE generation in pharmaceutical or related research industries, or statistical programming for clinical trials
Training or experience using the Observational Medical Outcomes Partnership (OMOP) common data model.
Department or multi-team management
Global collaboration
Request fulfilment oversight, clarifying requirements, project tracking, issue resolution, expert resource
Statistical programming: SAS and SQL required; R and Python preferred
Experience working with real-world healthcare data (RWD) such as healthcare claims (MarketScan, Optum Clinformatics, Medicare) and EHR databases (Optum EHR PanTher, Flatiron, CPRD, MDV)
Key Competencies
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Hands-on programming and lead role
Expert statistical programming knowledge using SAS or R
Required: SAS
Required: SQL
Preferred: R
Preferred: Python
Excellent verbal and written communication skills in English
Ability to have efficient exchanges with colleagues across geographical locations
Agile project management
Real-world data (RWD) including insurance claims databases, electronic medical records and patient registries; for example, MarketScan, Optum, PharMetrics, Flatiron, Medicare
OMOP common data model
Drug development life cycle
Statistics and basic epidemiology: Incidence and prevalence
Scientific / technical excellence
Oral and written communication, documentation skills
Leadership
Innovation
Teamwork
Problem solving
Attention to detail
What you can expect of us
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As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.