Clinical App & Analytical Services Manager

Amgen•Thousand Oaks, CA

23h•Hybrid

About The Position

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Clinical App & Analytical Services Manager What you will do and what we expect of you Let’s do this. Let’s change the world. In this vital role you will: Duties: Develop and apply mathematical and statistical theory and methods to collect, organize, interpret, and summarize data; Partner with cross-functional team members, by guiding discussions on optimized methods for data collection, standardization, governance, and reporting in order to develop innovative, analytical solutions; Direct management and oversight of vendor services, ensuring quality and timeliness of vendor product delivery; Provide insights, business intelligence, and management analytics for effective decision making in alignment with Global Networks and Continuous Improvement strategies; Demonstrate Business Process Owner (BPO) contacts to champion reporting needs; Support study team activities, operating review meetings, and management requests through the delivery of information to support performance progress; Perform quality oversight including quality gate controls validating deployment releases; and Plan, track, and ensure execution of products and services via Functions Service Providers (FSPs). May telecommute.

Requirements

Master’s degree (or foreign equivalent) in Statistics, Data Science, Quantitative Sciences, or related field & 2 years of experience in the job offered or in a data science or analytics-related occupation.
2 years of experience in Statistics including statistical inference and A/B Testing, machine learning algorithms including: Generalized Linear Model, tree-based, ensemble learning, and Natural Language Processing, and deep learning algorithms
2 years of experience in Programming languages including: Python, Pandas, scikit-learn, XGboost Natural Language Toolkit, R, and SQL
2 years of experience in Analytics and data visualization tools including: Databricks, AWS, Tableau and Power BI
2 years of experience in Integrating and analyzing large-scale healthcare datasets, including electronic health records, medical and pharmacy claims including: ICD10 diagnosis codes, procedure codes, National Drug Codes, health plan data, and clinical laboratory results
2 years of experience in Building standard data pipeline into centralized analytical platforms or data lakes to enable downstream analytics, health reporting, and Machine Learning use cases
2 years of experience in Developing automated health reporting solutions using business intelligence or visualization tools including: Tableau and Power BI to monitor population health, program performance, and operational Key Performance Indicators
2 years of experience in Designing and implementing risk scores, health economics metrics, and health analytics to support population health management, financial performance, and clinical decision-making
2 years of experience in Developing and deploying end-to-end machine learning and advanced statistical models to solve healthcare or biopharmaceutical challenges and support clinical care and disease management
2 years of experience in Modern analytics and MLOps platforms or frameworks including: Databricks, MLflow, and Airflow to build, deploy, and monitor data and Machine Learning pipelines in production environments
2 years of experience in Leading data science or analytics initiatives in healthcare or biopharmaceutical setting, including translating complex clinical and business problems into analytics roadmaps and artificial intelligence and machine learning use cases
2 years of experience in Collaborating with cross-functional stakeholders to define requirements, interpret analytic results, and drive implementation and adoption of analytic solutions

Responsibilities

Develop and apply mathematical and statistical theory and methods to collect, organize, interpret, and summarize data
Partner with cross-functional team members, by guiding discussions on optimized methods for data collection, standardization, governance, and reporting in order to develop innovative, analytical solutions
Direct management and oversight of vendor services, ensuring quality and timeliness of vendor product delivery
Provide insights, business intelligence, and management analytics for effective decision making in alignment with Global Networks and Continuous Improvement strategies
Demonstrate Business Process Owner (BPO) contacts to champion reporting needs
Support study team activities, operating review meetings, and management requests through the delivery of information to support performance progress
Perform quality oversight including quality gate controls validating deployment releases
Plan, track, and ensure execution of products and services via Functions Service Providers (FSPs)

Benefits

stock
retirement
medical
life and disability insurance
eligibility for an annual bonus
health and welfare plans for staff and eligible dependents
financial plans with opportunities to save towards retirement or other goals
work/life balance
career development opportunities
Retirement and Savings Plan with generous company contributions
group medical, dental and vision coverage
flexible spending accounts
discretionary annual bonus program
sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models, including remote and hybrid work arrangements, where possible