PHARMAFull-time
Senior Data Scientist - Safety Analytics & Signal Detection
By Admin · Pharmacovigilance & Drug Safety
HYDERABAD (IN)ONSITEPOSTED: 8/25/2026
PHARMAFull-time
HIRING ORGANIZATIONAMGENBiotechnology / Pharmaceuticals
ROLE DEFINITION & RESPONSIBILITIES
Role Overview
Support pharmacovigilance, safety signal detection, post-marketing surveillance and safety decision-making within Global Patient Safety.
Work closely with Therapeutic Area Safety, Integrated Signal Management and cross-functional partners to design and execute complex safety analyses.
Use internal safety data, spontaneous reporting systems, real-world data and other safety-relevant sources to generate actionable insights.
Translate complex safety questions into fit-for-purpose analytical designs and develop reproducible, scalable analytical workflows.
Core Responsibilities
Provide data science and statistical support for safety surveillance, signal detection and signal assessment activities.
Partner with TA Safety and Integrated Signal Management teams on analytical approaches for safety questions and post-marketing surveillance.
Apply frequentist, Bayesian, temporal and other appropriate statistical methods used in pharmacovigilance.
Analyse internal safety data, spontaneous reporting data, real-world data and other relevant datasets.
Develop reproducible analytical workflows using programming, automation and visualization technologies.
Evaluate and apply advanced analytics, machine learning, natural language processing and AI-enabled approaches to improve safety surveillance and analytical efficiency.
Communicate analytical methods, findings, limitations and recommendations clearly to technical and non-technical stakeholders.
Safety Analytics & Signal Detection Expertise
Support safety signal detection and management strategy, safety governance and quality-complaint trending and analytics.
Contribute to research, innovation and implementation of best practices in safety data mining, statistical signal detection, signal management and tracking.
Support product complaint trending and analytics, risk management, benefit-risk assessment and safety communications.
Evaluate methodological assumptions and limitations and ensure findings are scientifically defensible.
Apply advanced analytics, automation and visualization to strengthen safety surveillance capabilities and enable timely, data-driven patient-safety decisions.
Technical & Analytical Skills
Strong background in statistics and complex statistical analysis.
Proficiency in one or more analytical programming languages, including Python, R, SQL or SAS.
Working knowledge of machine learning and emerging AI methods.
Ability to manage multiple projects and priorities simultaneously.
Ability to operate effectively within a cross-functional, matrixed environment.
Strong communication and cross-functional leadership/influencing skills.
Education & Experience
Doctorate in Data Science, Statistics, Biostatistics, Epidemiology, Mathematics or a related quantitative field plus 2 years of relevant experience; OR Master's degree plus 6 years of relevant experience; OR Bachelor's degree plus 8 years of relevant experience; OR Associate's degree plus 10 years of relevant experience.
Preferred: 8+ years of applied data science, statistics, analytics or related quantitative experience.
Preferred experience in pharmaceutical, biotechnology, pharmacovigilance, clinical safety, epidemiology or another regulated healthcare environment.
Preferred experience analysing adverse-event, spontaneous-reporting, real-world, claims, EHR or other healthcare data.
Preferred experience with pharmacovigilance signal-detection methodologies, including frequentist and/or Bayesian approaches.
Preferred experience using Python, R, SQL, SAS or comparable analytical technologies.
Machine learning, NLP or AI-enabled analytical experience is desirable.
Relevant degrees may include Statistics, Biostatistics, Mathematics, Data Science, Epidemiology, Computer Science, Engineering or another quantitative/scientific discipline.
REQUIRED VERIFIED SKILLS
Advanced Statistics
Statistical Analysis
Data Science
Pharmacovigilance
Safety Signal Detection
Post-Marketing Surveillance
Frequentist Statistics
Bayesian Statistics
Temporal Analysis
Statistical Signal Detection
Python
R
SQL
SAS
Safety Data Analysis
Spontaneous Reporting Data
Real-World Data
Reproducible Analytical Workflows
Data Visualization
Cross-Functional Collaboration
COMPENSATION & REWARDS
Salary: Competitive / Disclosed upon candidate shortlisting
ORGANIZATION CONTEXT & CULTURE
Amgen is a leading global biopharmaceutical company committed to unlocking the potential of biology for patients suffering from serious illnesses. It discovers, develops, manufactures, and delivers innovative human therapeutics, focusing on areas with high unmet medical needs such as oncology, cardiovascular disease, bone disease, and inflammatory diseases.
TEAM SIZE: 25,000+ employees
INDUSTRY: Biotechnology / Pharmaceuticals
RECOMMENDED TRAINING
1/5
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