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Senior Biostatistical Programming Manager
AmgenSenior Manager developing and maintaining software utilities for clinical trial data analysis at Amgen. Providing technical leadership and overseeing programming teams for operational success.
Tech Stack
Tools & technologiesCloudETLJavaJavaScriptPerlPythonSDLCSQL
About the role
Key responsibilities & impact- Responsible for the development and maintenance of departmental software utilities to support the analysis and reporting of clinical trial data for GSP
- Maintain and develop re-usable software utilities for GBS and GSP
- Provide technical leadership and guidance for programming teams
- Oversee FSP programming team
- Provide guidance and support to ensure their operational success
- Partner with IS to maintain and enhance GSP systems and ensure that they are meeting the needs of statistical programming
- Coordinate and collaborate with CfDA on design and implementation of statistical analysis and reporting applications
- Create, maintain, and review key SDLC documents -Requirements, Operational Qualification, Installation Qualification, and Design documents
- Create, maintain, and review end-user documentation (e.g., user guides, training materials)
- Participate in establishing the programming scope, timeline and quality for deliverables with stakeholders
- Participate in the selection of appropriate technologies and software development tools based on GSP priorities and budget
- Make and ensure the implementation of high level strategic decisions, including GSP strategy for adopting newer programming (R, Python, and other)
- Designated team leader responsible for project efficiency, timeliness and quality
- Manage resource according to priorities
- Match programmer abilities to tasks
- Efficiently and optimally monitor and utilize assigned staff
- Provide input in the development and review of GSP SOPs and other controlled documents
- Provide input into and help facilitate career development plans for all staff on assigned projects
- Provide mentorship to staff
Requirements
What you’ll need- Doctorate degree and 2 years Statistical Programming experience OR Master’s degree and 6 years Statistical Programming experience OR Bachelor’s degree and 8 years Statistical Programming experience OR Associate’s degree and 10 years Statistical Programming experience OR High school diploma and 12 years Statistical Programming experience
- MSc or higher degree in quantitative, software engineering, or scientific subjects
- 8+ years of relevant statistical programming experience in a clinical development environment
- Familiarity with drug development life cycle and experience in analysis of clinical trials data
- Solid understanding of the latest CDISC SDTM, ADaM, and Define-XML standards
- Expertise with at least one of the following programming languages (SAS, R, Python) and preferably proficiency/expertise with a second programming language (SAS, R, Python, Perl, Java, Javascript, SQL)
- Experience with advanced programming capabilities (machine learning, databricks, AI for application development/code generation)
- Experience with systems and application programming architectures and platforms including cloud computing, automation, ETL, and other technologies
- Excellent oral and written communication skills
- Prior staff development leadership and project management experience
Benefits
Comp & perks- 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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Statistical ProgrammingSASRPythonPerlJavaJavascriptSQLmachine learningETL
Soft Skills
technical leadershipguidancecollaborationmentorshipproject managementcommunicationresource managementoperational successcareer developmentstrategic decision making