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Data Scientist

Amgen

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Location:
India, Hyderabad

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Category:
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Contract Type:
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Salary:

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Job Description:

Medical Data Scientist will play a vital role in supporting Global Medical Affairs by contributing to the design and deployment of data science solutions— including advanced statistical methods, predictive modeling, and machine learning — to deliver meaningful, data-driven insights that inform scientific engagement, strategic decision-making, and patient-focused strategies.

Job Responsibility:

  • Support the application of data science methods — including advanced statistical techniques, predictive modeling, and machine learning — to design, develop, and deploy solutions that address complex medical questions across therapeutic areas
  • Support and execute components of data science projects across structured and unstructured datasets (e.g., HCP sentiment, scientific engagement data, publications, CRM/field medical data) using Python, R, SQL, Tableau, Power BI, or similar platforms
  • Assist in designing and evaluating experimentation and pilots (e.g., digital channel optimization or field medical targeting) to test innovative approaches, with a focus on scaling successful solutions
  • Work in technical teams and contribute to medical data science projects such as Medical Science Liaison (MSL) engagement optimization, MSL note sentiment analysis using LLMs, and digital engagement impact measurement, turning complex data into insights that enable more effective field medical activities
  • Support building and optimizing scalable data pipelines for ingestion, cleansing, transformation, model training, automation, and deployment in partnership with data engineering and platform teams
  • Collaborate with cross-functional stakeholders (Medical, Commercial, and Technology groups across Amgen India) to ensure analyses directly address key medical business questions and strategic priorities
  • Partner with data science, IT, and external vendors to support data access, integrity, and governance
  • Help to translate analytic outputs into clear, actionable insights and recommendations and deliver compelling presentations, reports, and visualizations to medical and cross-functional leadership teams
  • Stay curious — continuously learn and apply emerging methods such as LLMs, Generative AI, A/B testing, and causal inference to strengthen analytical approaches
  • Support documentation, version control, and deployment practices using standardized platforms and tools

Requirements:

  • PhD in Computer Science, Engineering, Statistics, or a related quantitative field and 1+ year(s) of experience in data analytics or data science
  • OR, Master’s degree in Computer Science, Engineering, Statistics, or a related quantitative field and 3+ years of experience in data analytics or data science
  • OR, Bachelor’s degree in Computer Science, Engineering, Statistics, or a related quantitative field and 5+ years of experience in data analytics or data science
  • Experience in data science, statistics, machine learning, or advanced analytics, with hands-on application of statistical techniques such as hypothesis testing, regression analysis, clustering, and classification
  • Working knowledge of SQL and Python (R a plus)
  • comfort working in Databricks or similar environments
  • Passion for applying technical skills to solve complex business problems and drive data-driven transformation

Nice to have:

  • Experience in life sciences, pharma, or regulated health analytics environments
  • Familiarity with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
  • Exposure to RAG/LLM, NLP, or Generative AI applications is a strong plus
  • Familiarity with MLflow, AWS, Git, and DevOps-style model deployment workflows
  • Experience in preparing executive communication to include written and oral presentations
  • Strong storytelling and presentation skills
  • ability to translate data into clear, compelling insights
  • Curiosity, adaptability, and a passion for continuous learning
  • High degree of initiative and self-motivation
  • Strong problem-solving and critical thinking
  • Effective communication, both written and verbal
  • Collaborative mindset and ability to work in a matrixed environment
What we offer:
  • Competitive salary and comprehensive benefits package
  • Opportunities for professional growth and career development
  • A collaborative and inclusive work environment

Additional Information:

Job Posted:
December 18, 2025

Employment Type:
Fulltime
Work Type:
On-site work
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