Associate Director, Commercial Data Science

Amgen • Deerfield, IL

1d • 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. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. 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. Associate Director, Commercial Data Science What you will do Let’s do this. Let’s change the world. In this vital role the Associate Director of Data Science within the Customer Data & Analytics team is accountable for the delivery of key AI/ML projects for the Data Science team within Amgen’s commercial organization. In addition, the Associate Director will lead a team of data scientists to utilize advanced methodologies in AI/ML to craft and deploy bespoke solutions. This position reports to the Senior Director, Commercial Data Science and will be responsible for the following activities within the CBU and IBBU brands: Flexible Commuter role to Thousand Oaks, CA office. You will work on-site a minimum of 2 days a week.

Requirements

• Doctorate degree and 3 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR Master’s degree and 7 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR Bachelor’s degree and 9 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR Associate’s degree and 12 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR High school diploma / GED and 14 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field
• In addition to meeting at least one of the above requirements, you must have a minimum of 3 years experience directly managing people and/or leadership experience leading teams, projects, programs, or directing the allocation or resources.
• Your managerial experience may run concurrently with the required technical experience referenced above

Nice To Haves

• Relevant data science experience and Bio/Pharmaceutical industry experience
• Excellent leadership and management skills, with the ability to manage and develop a team of data scientists and analysts, 3+ years of direct people management experience
• Experience in AI, Machine Learning, quantitative methods, multivariate statistics, predictive modeling and other analytics frameworks/techniques with 5+ years of experience delivering complex analytical projects
• Experience in Databricks and AWS (and other cloud technologies)
• Advanced proficiency and hands on coding experience in Python/R/Scala/Java or any other Object-Oriented Programming language
• Proficiency working with external claims data to understand patient journeys and conduct relevant analysis for therapeutic teams
• Comprehensive understanding of the components of setting up data models in git based environment with CI/CD capabilities
• Ability to cultivate and encourage an environment of openness and transparency in seeking diverse opinions and empower risk-taking in idea generation, idea incubation and/or experimentation
• Partners with business leaders to deliver high-quality predictions that guide strategic decision making
• Oral, written and presentation skills to explain complex concepts and controversial findings clearly to a variety of audiences, including senior management
• Comfortable challenging the status quo and bringing forward innovative solutions
• Understanding of technology platforms and ability to partner with IS/IT and business leaders both onshore and offshore

Responsibilities

• Leads execution and delivery for Machine Learning and advanced analytics projects overseeing capabilities for predictive modeling, AI/ML, Gen AI, and other large-scale data modeling projects
• Prototype and productionize advanced models using probabilistic time-series, deep learning, causal inference, reinforcement learning, agent-based simulation, and generative/agentic techniques
• Lead Omnichannel media strategy aligning with brand objectives and driving impact
• Provide day to day guidance for team of data scientists (both Sr and Jr members) in projects ranging from statistical analysis, predictive modeling and Generative AI
• Develops, coaches, leads, and retains a dynamic, high-performing Data Science team delivering results, and gaining trust with stakeholders
• Effectively communicates with key stakeholders on the impact, status and success of Data Science capability initiatives
• Provides Data Science capability through relevant data science certifications and Biopharmaceutical industry expertise and direction to the CD&A organization
• Maintain an awareness of current research and standard methodologies in the field of data analytics, including best practices in analytics
• Primary point of contact for Commercial leaders to engage in AI/ML activities
• Engages and communicates with key stakeholders on the impact, status and success of Data Science capability initiatives

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Director