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Amgen is seeking a dedicated Biostatistical Programming Manager to join our Center for Observational Research (CfOR) organization, based in Hyderabad, India. This crucial role involves leading a team of senior statistical programmers who will generate Real-World Evidence (RWE) to support Amgen products throughout the drug development lifecycle. This lead programming role will collaborate with teams across multiple time zones to oversee request fulfillment, clarify requirements, track projects, resolve issues, and deliver high-quality results. The Biostatistical Programming Manager will report to a locally based Director of Biostatistical Programming.
Job Responsibility:
Lead a statistical programming team conducting analyses supporting Amgen's Regulatory submission studies and Projects
Coordinate with functional leads to prioritize and manage workflow
Provide technical solutions to programming problems within CfOR
Ensure the analysis and presentation of biomedical data is accurate and complete
Adhere to Amgen policies, SOPs and other controlled documents
Write, test, and validate programs 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 internal and external communications
Project manage programming activities, according to agreed resource and timeline plans
Review and approve key study-related documents produced by other functions, e.g. SAPs, Data Management Plans, etc.
Write and/or review and approve programming plans and analysis dataset specifications
Represent the programming function and participate in multidisciplinary project team meetings
Lead and develop technical programming and process improvement initiatives within CfOR
Write, test and validate department-, product- and protocol-level macros and utilities
Provide input to and participate in intra-departmental and CfOR meetings
Oversee the work of outsourced resources assigned to projects
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
Manage staff performance and oversee staff assignments and utilization
Requirements:
Bachelor’s degree in Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject
At least six (6) years of relevant statistical programming, systems engineering or application programming experience in a clinical development or life sciences setting
Managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources in statistical programming projects
Proficiency in SQL programming and SAS or R programming is required
Ability to work effectively within a large, globally distributed team is essential
Nice to have:
Master’s degree in Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject
Experience: Real-world evidence (RWE) generation in pharmaceutical or related research industries, or statistical programming for clinical trials
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: CDISC (SDTM, ADaM)
Agile project management
Real-world data (RWD) including insurance claims databases, electronic medical records and patient registries
for example, MarketScan, Optum, PharMetrics, Flatiron, Medicare
Drug development life cycle
Statistics and basic epidemiology: Incidence and prevalence
Scientific / technical excellence
Oral and written communication, documentation skills