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Amgen

Makes biotech medicines for serious illnesses

Manager, Value and Access Transformation Initiatives

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • A master's degree in computer science, statistics, or a STEM major and at least 6 years of Information Systems experience, or a bachelor's degree in one of those fields and at least 8 years of Information Systems experience.
  • Foundational understanding of the US pharmaceutical ecosystem, patient support services offerings, and standard datasets including claims, prescriptions, and electronic medical records.
  • Experience with one or more analytical software tools or languages such as R and Python.
  • Strong foundation in machine learning algorithms and techniques.
  • Experience with statistical techniques and hypothesis testing, including regression analysis, clustering, and classification.

Responsibilities

  • Drive the full lifecycle of data science project delivery, guide data scientists in shaping and developing solutions, and act as a subject matter expert in solving development and commercial questions.
  • Serve as business owner and manage the proprietary AI engine built to optimize copay.
  • Ensure models are trained with the latest data and meet service-level agreement expectations.
  • Manage the AI tool's roadmap in collaboration with a global cross-functional team.
  • Work in technical teams to develop, deploy, and apply applied, predictive, and prescriptive analytics.
  • Use hypothesis testing, machine learning, retrieval processes, and statistical and data-mining techniques to identify trends, create figures, and analyze relevant information.
  • Perform exploratory and targeted data analyses using descriptive statistics and other methods.
  • Develop model and analytics experimentation and development pipelines leveraging MLOps.
  • Oversee 2–4 associates, including setting performance standards, managing staffing, and monitoring performance.
  • Collaborate with technical teams to translate business needs into technical specifications, particularly for AI-driven automation and insights.
  • Develop and integrate custom applications, intelligent dashboards, and automated workflows incorporating AI capabilities to enhance decision-making and efficiency.

Desired Qualifications

  • Experience with MLOps practices and tools such as MLflow, Kubeflow, or Airflow, and DevOps tools such as Docker, Kubernetes, and continuous integration/continuous delivery.
  • Proficiency in Python and relevant machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
  • Experience with data engineering and pipeline development.
  • Knowledge of natural language processing techniques for text analysis and sentiment analysis.
  • Experience analyzing time-series data for forecasting and trend analysis.
  • Experience with AWS, Azure, or Google Cloud.
  • Experience with the Databricks platform for data analytics and MLOps.
  • An AWS Developer certification.
  • A Python and machine learning certification.

About the Company

Amgen

Makes biotech medicines for serious illnesses

Amgen develops and makes biologic medicines, which are drugs built from proteins and antibodies grown in living cells, for serious conditions such as heart disease, cancer, and bone loss. Its anemia drug Epogen, approved in 1989, became one of the biotechnology industry's first blockbuster medicines. Amgen grows these drugs in large tanks called bioreactors, and its products include the cholesterol drug Repatha, the bone-building drug Evenity, and the severe asthma drug Tezspire. It earns money by selling these medicines, mostly through large drug wholesalers that supply hospitals and pharmacies. Amgen was founded in 1980 and is based in Thousand Oaks, California.

Company size
10,001+
Company stage
IPO
Headquarters
Thousand Oaks, CA
Founded
1980

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