AstraZeneca

Senior Data Scientist

AstraZeneca

full-time

Posted on:

Location Type: Office

Location: Osaka • Japan

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Job Level

Senior

About the role

  • Lead/co-lead observational/database research and data analysis including Market/R&D analysis
  • Assess study design/target population/data source/data handling/analytical method and give clear inputs from an epidemiological point of view
  • Oversee venders and manage timeline, quality of outputs, resource, & cost of their responsible researches
  • Survey & assess the necessary information for database and recommend database that fits for research/analytical purpose
  • Develop AI use fit for purpose
  • Implement AI (including Generative AI) to their work process not only for simplifying DS regular tasks but also for advancing them
  • Support for PARCS led by Pharmacovigilance department

Requirements

  • Design, analyze, interpret and publish researches for Data Science/Epidemiology/Clinical/Statistics
  • Manage, and/or lead group of members responsible for conducting clinical/epidemiologic research, analysis of data, reading of the data for efficacy, safety, clinical effectiveness and epidemiological assessments
  • Make manuscript for specialized topics
  • Reviewing, assessing and using Real-World Data for research purposes to address clinical/research questions
  • Networking, integrating and using EMR/EHR data for clinical/epidemiological research
  • Using/applying bioinformatic methodologies to analyze medical data/database/scientific research
  • Master’s degree in public health or equivalent
  • PhD in Data Science/Engineering/Pharmaceutical science/biostatistics or MD degree is desirable
Benefits
  • AstraZeneca embraces diversity and equality of opportunity.
  • Commitment to building an inclusive and diverse team.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data analysisepidemiological methodsAI implementationGenerative AIbioinformatics methodologiesclinical researchstatistical analysisdata interpretationreal-world data analysisdatabase management
Soft Skills
leadershipproject managementcommunicationnetworkingteam managementcritical thinkingproblem-solvingcollaborationorganizational skillsquality assurance
Certifications
Master’s degree in public healthPhD in Data SciencePhD in EngineeringPhD in Pharmaceutical sciencePhD in biostatisticsMD degree