Amgen

biotechnology

BiostatisticalProgrammingSrMgr

United Kingdom FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Biostatistical Programming Sr Mgr at Amgen. Skills: Biostatistical Programming, SAS, SQL, Leadership. Provide operational and technical leadership. Lead and develop programming teams”

What You'll Achieve.

Deliver high-quality RWE from large healthcare data sources; Support regulatory, publication, and enterprise objectives

Industry & Context.

biotechnology
Problems you'll solve

problem-solving ability

What They're Looking For.

Must Have

Degree educated, Relevant statistical programming experience within life sciences, clinical development, or observational research, Experience leading people, projects, programs, or resource allocation activities within a programming environment, Experience working with real-world healthcare data, including healthcare claims and EHR databases, programming expertise in SAS and SQL, Knowledge of observational research methods, drug development, and epidemiology principles, communication, collaboration, and stakeholder management skills, Demonstrated leadership, problem-solving ability, innovation, and attention to detail

Nice to Have

Experience with R and/or Python

What You'll Do.

Provide operational and technical leadership

Lead and develop programming teams

Partner with epidemiologists and stakeholders

Deliver high-quality RWE

Oversee project delivery

Manage resource planning

Ensure technical excellence

Ensure compliance with standards

enterprise objectives

Generate robust real-world evidence

Provide technical leadership and guidance

Manage programming activities

Ensure programming activities comply with standards

approve programming plans

Contribute to development

Oversee outsourced programming activities

Lead and contribute to process improvement

Support audit readiness activities

Represent programming function

How You'll Work.

Team & Collaboration

Partnering closely with epidemiologists and cross-functional stakeholders; Representing the programming function within cross-functional teams, governance discussions, and professional forums

Communication Scope

communication skills; stakeholder management skills

Process & Methodology

Resource planning, Manage programming activities, timelines, deliverables, and resource allocation across multiple projects and priorities

Full Job Description

## **Career Category** Clinical ## ## **Job Description** **HOW MIGHT YOU DEFY IMAGINATION?** If you feel like you’re part of something bigger, it’s because you are. At Amgen our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing and delivering ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of. Join us. **BIOSTATISTICAL PROGRAMMING SENIOR MANAGER** **LIVE** **What you will do** In this vital role you will provide operational and technical leadership for Real-World Evidence (RWE) biostatistical programming within the Centre for Observational Research (CfOR). You will lead and develop programming teams, partnering closely with epidemiologists and cross-functional stakeholders across multiple time zones to deliver high-quality RWE from large healthcare data sources, including electronic health records (EHR) and healthcare claims databases. Reporting to the local Director of Biostatistical Programming, you will oversee project delivery, resource planning, technical excellence, and compliance with departmental standards and processes to support regulatory, publication, and enterprise objectives. * Leading and developing programming staff, including mentoring, workload planning, and performance oversight. * Partnering with epidemiologists, RWE scientists, and programming leads to generate robust real-world evidence from healthcare data assets. * Providing technical leadership and guidance in statistical programming methods, standards, and best practices. * Managing programming activities, timelines, deliverables, and resource allocation across multiple projects and priorities. * Ensuring programming activities comply with departmental standards, SOPs, quality expectations, and regulatory requirements. * Authoring, reviewing, and approving programming plans

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