A

Amgen

Makes biotech medicines for serious illnesses

Data Scientist - US Value & Access Insights

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

About the Job

Requirements

  • Bachelor's or Master's degree and 3 to 6 years of computer science, statistics or STEM majors with a minimum of 2 years of Information Systems experience, or experience with one or more analytic software tools or languages such as R and Python.
  • Foundational understanding of the United States pharmaceutical ecosystem, patient support services offerings such as Copay, and standard datasets including claims and prescription data.
  • Strong foundation in machine learning algorithms and techniques.
  • Experience in statistical techniques and hypothesis testing, including regression analysis, clustering, and classification.
  • Initiative to explore alternate technology and approaches to solving problems.
  • Ability to break down problems, document problem statements, and estimate efforts.
  • Excellent analytical and troubleshooting skills.
  • Ability to work effectively with global, virtual teams.
  • High degree of initiative and self-motivation.
  • Ability to manage multiple priorities successfully.
  • Team-oriented approach focused on achieving team goals.

Responsibilities

  • Work on upgrades and manage the execution of the proprietary AI engine built to optimize Copay and other gross-to-net initiatives.
  • Ensure models are trained with the latest data and meet service-level agreement expectations.
  • Act as a subject matter expert in solving development and commercial questions.
  • Work with a global cross-functional team on the AI tool's roadmap.
  • Work in technical teams on the development, deployment, and application of applied analytics, predictive analytics, 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 and use an analytics experiment and development pipeline leveraging MLOps.
  • 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 in MLOps practices and tools such as MLflow, Kubeflow, and 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, and 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.
  • Any AWS Developer certification.
  • Any Python and machine learning certification.
  • Strong verbal and written communication skills.

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

Recently Posted Jobs

Explore more opportunities at Amgen

See more jobs