Senior Data Scientist - Safety Analytics & Signal Detection
Amgen (company site, opens in a new tab)10+ yrsHyderabadOn-siteDirect career pageEst. 25–45 LPA
Posted on 25 Aug
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Job description
Structured overview of role & requirements
About This Role
- Design and execute complex safety signal detection analyses using diverse safety data sources including spontaneous reporting and real-world data.
- Develop reproducible, scalable analytical workflows employing advanced statistics, machine learning, automation, and visualization.
- Translate pharmacovigilance questions into appropriate analytical methods and communicate scientifically sound results to diverse stakeholders.
Minimum Requirements
- Experience: At least 8 years of applied data science, statistics, or related quantitative experience is preferred; baseline varies from 2-10 years depending on degree.
- Education: Minimum Bachelor’s degree with 8 years or higher qualifications in Statistics, Data Science, Biostatistics, Epidemiology, Mathematics, or related quantitative field.
- Technical Skills: Proficiency in Python, R, SQL, or SAS; strong background in advanced statistical analysis and signal detection methods (frequentist and Bayesian).
- Domain Knowledge: Familiarity with pharmacovigilance, safety signal detection, post-marketing surveillance, and use of healthcare data sources such as spontaneous reporting systems and real-world data.
Ideal Candidate Profile
- Experienced in pharmaceutical or biotechnology regulated healthcare environments related to clinical safety or pharmacovigilance.
- Demonstrated ability to handle complex, multidimensional safety data and apply both traditional statistical and emerging ML/AI methods effectively.
- Comfortable working in cross-functional, matrixed teams translating complex safety issues into practical, data-driven solutions supporting patient safety.