United States onlyCareer Category
Information SystemsJob 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.comIn 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.
