Career Category Information Systems 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. Principal Data Scientist - Optimization What you will do We are seeking a Principal Data Scientist, Optimization to join the Forecasting team, within the AI & Data organization. This role will lead the development, validation and deployment of advanced optimization models and decision-support solutions to guide strategic and operational decisions and help Amgen delivers on its “every patient, every time” mandate. This leader will partner across Commercial, Operations, Supply Chain, Manufacturing, Finance, and Technology to transform Amgen’s approach to operational decision making through rigorous analytical methods. The role is particularly well suited to a creative problem solver with deep expertise in mathematical optimization, including linear, nonlinear and mixed-integer programming, who is excited about applying these methods to hard problems in multi-echelon supply chain design, capacity allocation, and pricing/trade-off optimization. Key Responsibilities - Design, build and deploy optimization models using linear, nonlinear and mixed integer programming techniques to support high value business decisions. - Develop optimization solutions for challenging supply chain and commercial problems such as capacity allocation, supply planning, inventory optimization, portfolio tradeoffs, and price / margin optimization. - Partner with forecasting, simulation, and analytics teams to incorporate uncertainty, demand scenarios, and operational variability into optimization-based decision frameworks. - Own the end-to-end modeling lifecycle, including problem framing, prototype development, data analysis, model formulation, calibration, validation, testing, deployment, monitoring, and model explainability. - Architect and develop decision-support tools and self-service applications that enable business leaders to evaluate tradeoffs and respond rapidly to changing market and operational conditions. - Collaborate with cross-functional teams in Commercial, Operations, Finance, and Technology to ensure optimization solutions are integrated into critical business workflows and planning processes. - Develop a holistic understanding of Amgen’s systems and processes in relation to industry challenges and broader trends to identify opportunities and risks. - Evaluate emerging methods in optimization, reinforcement learning, and AI, and assess where they can complement classical operations research approaches. - Establish optimization as a rigorous, scalable capability across the organization, while mentoring junior team members and setting standards for technical excellence. Basic Qualifications - Doctorate degree and 2 years of data science in enterprise environments experience OR - Master’s degree and 4 years of data science in enterprise environments experience OR - Bachelor’s degree and 6 years of data science in enterprise environments experience OR - Associate’s degree and 10 years of data science in enterprise environments experience OR - High school diploma / GED and 12 years of data science in enterprise environments experience Preferred Qualifications - 8+ years applying operations research, data science or machine learning algorithms in an enterprise environment with demonstrated principal-level influence or equivalent depth of expertise. - Deep expertise in mathematical optimization including linear, non-linear, and mixed-integer programming, constrained optimization and scenario-based optimization. - Demonstrated experience building and deploying models that drive measurable business value in areas such as supply chain, manufacturing, logistics, pricing, or resource allocation. - Strong understanding of Python, SQL, with hands-on experience using frameworks such as Pyomo, PuLP, OR-Tools, Gurobi or equivalent. - Strong communication and story-telling skills, with demonstrated ability to simplify complex concepts and influence executive decision making. - Exceptional stakeholder management skills that can drive alignment on, relationships, and metrics, and communicate tradeoffs clearly. - An intellectually curious self-starter who is able to take ambiguous problems and build robust solutions from 0 to 1 - Experience building and scaling optimization platforms or decision-support systems for biotech, pharma, healthcare, manufacturing, retail, or consumer goods applications. - Familiarity with stochastic optimization, robust optimization, simulation-optimization, decomposition methods, heuristics, or metaheuristics for large-scale decision problems. - Exposure to reinforcement learning or approximate dynamic decisioning methods. - Knowledge of healthcare or biotech commercial concepts, including payer/provider dynamics, formulary/coverage considerations, or launch planning constraints What You Can Expect Of Us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications. In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of 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 that may include: - 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, including remote and hybrid work arrangements, where possible Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Application deadline Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position. As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. .Salary Range 160,896.50USD -217,683.50 USD

Career Category Information Systems 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. Principal Data Scientist - Forecasting What you will do We are seeking a Principal Data Scientist - Forecasting to join the Forecasting team, within the AI & Data organization. This role will lead the development of advanced statistical, Bayesian, causal, and machine learning models that improve forecasting capabilities and quantify uncertainty to guide strategic decision making across the company. This leader will partner across Commercial, Operations, Supply Chain, Manufacturing, Finance, and Technology to build forecasting technology that support critical business processes, ensuring Amgen delivers on its “every patient, every time” mandate. The role is particularly suited to a creative problem solver who is excited about leveraging state of the art forecasting methods, complex high-dimensional data sources, and agentic development practices to build decision-support tools that connect demand signals with supply constraints, enabling reliable, risk-adjusted scenario planning across short-, mid-, and long-range horizons. Key Responsibilities - Develop advanced statistical, Bayesian, and machine learning models to forecast demand across multiple horizons, including near-, medium-, and long-term planning horizons. - Work with large, complex data sets, leveraging state of the art techniques in statistical modeling, causal inference and analytics to generate insights that support strategic decision making across the business. - Develop high fidelity simulation and scenario evaluation capabilities to understand the complex dynamics between patients, payers and providers. - Own the end-to-end modeling lifecycle, including scoping, prototyping, data analysis, feature engineering, model development, deployment and, monitoring as well as explainability. - Architect and develop self-service forecasting tools and platforms, ensuring leadership can act on near real-time predictions. - Collaborate with cross functional teams in Commercial, Operation, Finance and Technology to ensure forecasts are well integrated into critical business workflows. - Develop a holistic understanding of Amgen’s systems and processes in relation to industry challenges and broader trends to identify opportunities and risks. - Research and evaluate emerging tools and methodologies in forecasting, data science and AI. - Establish forecasting as an advanced, rigorous practice across the organization and upskill and mentor junior team members. Basic Qualifications - Doctorate degree and 2 years of data science in enterprise environments experience OR - Master’s degree and 4 years of data science in enterprise environments experience OR - Bachelor’s degree and 6 years of data science in enterprise environments experience OR - Associate’s degree and 10 years of data science in enterprise environments experience OR - High school diploma / GED and 12 years of data science in enterprise environments experience Preferred Qualifications - 8+ years of experience applying data science in enterprise environments with demonstrated principal-level influence or equivalent depth of expertise. - Deep expertise in time-series forecasting, probabilistic programming, Bayesian and predictive modeling, with practical experience delivering models that drive business measurable value. - Expert understanding of Python, SQL and tools such as scikit-learn, PyMC, Pytorch, Tensorflow and other data science libraries. - Strong communication and story-telling skills, with ability to explain complex technical concepts and influence executive level decision making. - Exceptional stakeholder management with ability to drive alignment on, relationships, and metrics, and communicate tradeoffs clearly. - An intellectually curious self-starter who can take ambiguous problems and build robust solutions from 0 to 1. - Experience building and scaling forecasting platforms for biotech/pharma use cases and knowledge of healthcare commercial concepts such as payer/provider dynamics, formulary access, and coverage. - Experience leveraging machine learning, operations research algorithms, and statistical modeling for retail, consumer goods, supply chain or manufacturing applications - Deep expertise in causal inference, Bayesian forecasting, and hierarchical or multi-level forecasting methods. - Familiarity with ML Ops, CI/CD, and engineering best practices that enable scalable deployment and adoption of forecasting products. What You Can Expect Of Us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications. In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of 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 that may include: - 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, including remote and hybrid work arrangements, where possible Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Application deadline Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position. As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. .Salary Range 160,896.50USD -217,683.50 USD

• lead design and implementation of advanced algorithms • developing & optimizing ranking algorithms • search personalization algorithms • collaborating with data & search engineers • collaborating with software engineers and architects • developing and implementing tools & processes for monitoring performance • collaboration with analytics teams for experimentation & A/B testing • staying updated with advancements in AI, ML, & search technologies • mentoring junior scientists and engineers

Position Summary: MedReview is looking for a talented and experienced Data Scientist to join our dynamic team. As a part of our team, you will leverage your analytical skills and expertise in machine learning to extract insights from complex datasets and drive data-driven decision-making across our organization. You will collaborate closely with cross-functional teams to develop predictive models, uncover actionable insights, and solve challenging business problems. As part of a global team of developers and analysts, the Data Scientist will work with a larger team to design, build, validate, refine, and operationalize models. This position will sit in Austin, Texas. However, for the right fit, we may consider remote. Responsibilities: - Problem Identification: Collaborate with stakeholders to identify business challenges that can be solved through data analysis. - Data Collection & Preparation: Gather data from various sources (SQL databases, APIs, web scraping), then clean and "wrangle" it to ensure accuracy for modeling. - Model Development: Design and implement algorithms and predictive models using machine learning techniques to forecast outcomes or categorize information. - Exploratory Data Analysis (EDA): Analyze datasets to uncover hidden patterns, trends, and anomalies. - Communication & Visualization: Translate technical findings into "data stories" using tools like Tableau or Power BI to influence executive decisions. Qualifications: - Master’s degree or bachelors degree and equivalent experience in a quantitative field (Math, CS, Stats) - Programming: Proficiency in Python or R along with SQL for database querying. - Mathematics & Statistics: Strong foundation in linear algebra, calculus, and statistical modeling. - Machine Learning: Experience with frameworks like TensorFlow, PyTorch, or scikit-learn. Soft Skills: Critical thinking, curiosity, and the ability to explain complex concepts to non-technical audiences. Experience working with global and remote teams