Us Value And Access Insights Innovation Lead Job at Amgen (Thousand Oaks)

Job Description

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.

Job Responsibility

Lead a team driving innovation within the V&A Analytics insights organization with best-in-class analytics to help develop better V&A strategies and tactics and enable successful access strategy for new product launches
Drive cross portfolio innovative projects across various pillars of the insights team
Help elevate the analytics capabilities of the team and provide strategic oversight for cross portfolio initiatives at the forefront of solving the US Value & Access team’s biggest challenges using cutting edge technology
Partner with USV&A, AI&D, and Tech leadership to ensure product teams like Contracting IQ / CAP-AI are applying cutting edge data science methodologies to deliver against our ambitions
Bring deep expertise in USV&A data sets, business challenges, and an understanding of the ecosystem we navigate to guide teams and identify innovative approaches and solutions
Empower and support the team in translating business requirements into methodologies, rapidly testing hypotheses, and readying proven solutions for scale
Be the team’s expert on the USV&A data ecosystem, and a key source of innovative hypotheses and approaches
Partner with a cross-functional team of business and technical resources to define and drive against execution roadmaps
Ensure the potential impact of the team’s work is understood and resonates with cross-functional commercial leadership
Business ownership of contracting IQ / PEP-AI – Rollout / upgrades to the contracting platform, CAP-AI – Rollout / upgrades and expansion
Drive user adoption and expand the tool capabilities to medical benefit products including provider contracting and ASP calculation
Drive analytics / insights and integrate multiple data sources to identify potential impact of any policy changes from the government, market events like M&A and other interconnected events
Constructively challenge teams by providing disconfirming information and encouraging Innovative Problem Solving
Looks for opportunities to streamline analytics across different TA’s / brand and bring in innovation
Build and maintain strong relationships with cross functional partners
proactively seeks buy-in and provides ongoing support to address business needs
Lead a team of 15+ resources across the US and India, ensuring effective deployment of the team against our goals, supporting the team’s continued professional development, and providing coaching as needed
Engage hands-on with technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics
Engage hands-on and utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques
Partner with initiative technical leadership to develop and integrate custom applications, intelligent dashboards, and automated workflows that incorporate AI capabilities to enhance decision-making and efficiency
Collaborate with technical teams to translate the business needs into technical specifications, particularly focusing on AI-driven automation and insights

Requirements

Doctorate degree and 4 years of Business Administration, Accounting, Finance, Engineering (any), Science (any), Statistics or related field experience
Master’s degree and 7 years of Business Administration, Accounting, Finance, Engineering (any), Science (any), Statistics or related field experience
Bachelor’s degree and 9 years of Business Administration, Accounting, Finance, Engineering (any), Science (any), Statistics or related field experience
Deep understanding of US pharmaceutical ecosystem, patient support services offerings, and USV&A strategies and business challenges
Expertise in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification
Strong foundation in machine learning algorithms and techniques
Proven track record of guiding large teams from business challenge, to hypothesis testing, to PoC, to production and scale
Expertise in and experience working within USV&A platforms (e.g., Model N, Validata) and with USV&A datasets (e.g., (SP, IQVIA, wholesaler)
Prior experience in contracts and pricing, direct payer experience or value marketing and have a good foundational understanding of the US payer environment and a strong foundation in the U.S. healthcare market
Excellent conceptual problem-solving skills with demonstrated ability to bring structure to vaguely defined problems, pragmatic problem-solving approach, and manage execution
Exceptional written/oral communication skills and executive presence across functions and across different levels of leadership
Authoritative command of complexity and ambiguity
ability to see the big picture
ability to collect, digest and assemble information to enable relevant business analyses
Strong leadership skills with a demonstrated ability to influence different styles
8+ years of healthcare experience in the biopharmaceutical industry, health care, and/or strategy consulting with specific experience and expertise in coverage, access and reimbursement drivers impacting the biopharmaceutical industry
High degree of analytical and problem-solving skills
Exhibits strong understanding of business strategies
Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow)
Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)
Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
Knowledge of NLP techniques for text analysis and sentiment analysis
Experience in analyzing time-series data for forecasting and trend analysis
Experience with AWS, Azure, or Google Cloud
Experience with Databricks platform for data analytics and MLOps

What we offer

A 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
Flexible work models where possible

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