Biostatistics Manager, Centralized Statistical Monitoring (CSM)

Job description

Career Category Research

Job Description

Biostatistics Manager, Centralized Statistical Monitoring (CSM)

What you will do

Amgen’s Center for Design and Analysis Organization has a new opportunity for a Biostatistics Manager to provide statistical expertise in support of Centralized Statistical Monitoring (CSM) across clinical development programs. The ideal candidate will build machine learning models and other statistical models, as well as support their implementation and deployment through a good understanding of the Software Development Life Cycle (SDLC).

Develop business requirements through collaborations with cross-functional stakeholders and the use of excellent communication skills. Experience with clinical trials and their data collection process, storage, quality, and use would be looked for. The latter will be particularly critical in a regulated environment. In this role, you will leverage your experience as a biostatistician to contribute to the design, application, and continuous improvement of data-driven monitoring methods that support risk-based quality management (RBQM).

You will apply your ML and AI skills to detect atypical data patterns, identify emerging quality risks, and enhance proactive oversight of clinical trials. Functional requirements, prototype code, good documentation, testing, and relevant visualizations will be expected as deliverables when producing new algorithms as required by the stakeholders.

Key responsibilities include: Provide statistical and data science expertise to support CSM activities across multiple studies and therapeutic areas. Develop and enhance statistical, machine learning, and AI-guided methodologies, to strengthen CSM signal detection and site-level risk assessment. Perform detailed statistical review and quality control of CSM outputs, signals, and study-level metrics to ensure accuracy, consistency, and appropriate interpretation prior to stakeholder communication.

Collaborate with cross-functional partners (e.g., Clinical, Operations, Data Management, RBQM, Quality, Digital/Technology teams) to translate critical-to-quality (CTQ) factors into analytically robust and scalable monitoring solutions. Contribute to validation, documentation, and controlled deployment of analytical methodologies and tools within regulated environments, ensuring reproducibility and adherence to internal standards.

Develop clear visualizations, dashboards, and analytical applications to enhance transparency and facilitate interpretation of monitoring outputs. Stay current with evolving developments in data science, machine learning, and AI relevant to clinical trial monitoring. Adhere to all Amgen policies and Standard Operating Procedures (SOPs).

What we expect of you

The statistical professional we seek is strong in the following qualifications.

Basic Qualifications

MSc or PhD in Statistics, Biostatistics, or related field with 8years of Industrial experience.

Preferred Qualifications

Proficiency in statistical programming (e.g., R, SAS, or Python) with demonstrated experience applying machine learning and advanced analytical methods in practice. Clinical trial experience within a pharmaceutical or medical research environment. Prior experience serving as a study statistician for clinical trials, with responsibility for study-level statistical analysis and reporting. Experience working effectively in a globally dispersed team environment with cross-cultural partners.

Demonstrable strategic thinking skills, originality, and creativity. Writing skills with samples of technical writing (papers, reports, or project descriptions). Self-directed, and well organized.

What you can expect of us

As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being.

Amgen offers a Total Rewards

• Plan comprising health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities including: Comprehensive employee benefits package, including a Retirement and Savings
• Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts.

A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan Stock-based long-term incentives Award-winning time-off plans and bi-annual company-wide shutdowns Flexible work models, including remote work arrangements, where possible .