Healthcare Data Analyst - Real-World Evidence & HEOR

VISTA HEALTH PTE. LTD.

Singapore

On-site

SGD 70,000 - 110,000

Full time

5 days ago
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Job summary

Vista Health Pte. Ltd. in Singapore seeks a Data Analyst to lead local, regional, and global analytics projects, focusing on evidence generation from real-world databases.

You will handle analysis timelines, SOPs, and high-quality delivery with senior oversight. You will work hands-on with claims, EMR, registry, and survey data, contributing to study designs, statistical analysis plans, final reports, manuscripts, and client presentations.

Qualifications

  • MSc or higher in biostatistics, epidemiology, statistics, quantitative methods, data science, health economics, public health or related areas.
  • 2+ years of experience in biostatistics, epidemiology, data analytics or healthcare data science, preferably in a consulting, pharmaceutical, CRO, academic or healthcare setting.
  • Ability to distill and relay complex / technical ideas and outputs to a range of stakeholders / business functions.
  • Advanced proficiency in R for statistical analysis, data management, reproducible programming and reporting.
  • Strong understanding of healthcare data analysis techniques, including study design, cohort construction, outcome definition, data pre-processing, statistical modelling and interpretation.
  • Working knowledge of machine learning methods and their appropriate use in healthcare analytics, including predictive modelling concepts and model evaluation.
  • Experience analysing a range of healthcare data, such as claims, EMR, registry, clinical trial and survey data.
  • Strong analytical skills, excellent communication skills and confidence in client-facing discussions.
  • Strong skills with Microsoft Office, including Word, PowerPoint and Excel.

Responsibilities

  • Collaborate with project teams in the development and delivery of consulting and research projects involving healthcare data analysis, ensuring all projects are delivered to agreed timelines and budget against agreed metrics.
  • Provide statistical and methodological advice to inform study designs, protocols and statistical analysis plans.
  • Conduct and oversee statistical analysis of healthcare data using R, ensuring reproducible, high-quality programming and appropriate quality control.
  • Provide analysis and pre-processing of healthcare data, including claims, EMR, registry, clinical trial and survey datasets.
  • Use appropriate statistical methods and maintain a working knowledge of machine learning methods relevant to healthcare analytics and predictive modelling.
  • Support in the development, maintenance and improvement of documentation and templates, including programming requirements, specifications, data collection templates and QC plans.
  • Contribute to the development of reusable code, functions and macros to improve efficiency, reproducibility and reporting quality.
  • Participate in the preparation of research manuscripts, reports, slide decks and client presentations.
  • Keep up to date with emerging statistical methodologies, healthcare data sources, machine learning methods and healthcare trends in the Asia Pacific region.

Skills

R programming
Biostatistics / epidemiology
Data analysis
Healthcare data analysis
Machine learning (healthcare)
Statistical modelling
Communication skills
Client-facing discussions
Microsoft Office
Project prioritization

Education

MSc or higher in biostatistics, epidemiology, statistics, quantitative methods, data science, health economics, public health or related areas

Tools

R
Microsoft Office

Job description

Vista Health Pte. Ltd. in Singapore seeks a Data Analyst to lead local, regional, and global analytics projects, focusing on evidence generation from real-world databases.

You will handle analysis timelines, SOPs, and high-quality delivery with senior oversight. You will work hands-on with claims, EMR, registry, and survey data, contributing to study designs, statistical analysis plans, final reports, manuscripts, and client presentations.

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