Data Analyst

VISTA HEALTH PTE. LTD.; Singapore; Presencial; SGD 70.000 - 110.000; Jornada completa

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

R programming

Biostatistics / epidemiology

Data analysis

Healthcare data analysis

Machine learning (healthcare)

Statistical modelling

Communication skills

Client-facing discussions

Microsoft Office

Project prioritization

Educación

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

Herramientas

R

Microsoft Office

Descripción del empleo

Overview

Vista Health is a Singapore-based healthcare agency specialising in healthcare and life sciences consulting for the Asia Pacific region, with clients across Asia Pacific, Europe and the US. Our work spans the full spectrum of therapeutic and disease areas and a variety of research methods, providing challenge and variety for our team. Assignments typically require problem solving, accountability, critical thinking and strong communication.

The Data Analyst will play a key role in the delivery of local, regional and global data analytics projects, with a particular focus on evidence generation and real-world databases. This role will carry responsibility for delivering to agreed analysis timelines; maintaining and improving analysis documentation and SOPs; and ensuring high-quality analytical delivery across projects, with senior oversight.

The Data Analyst will be hands-on in analysing a variety of healthcare data, including claims and real-world databases, as well as EMR, registry, and survey data where relevant. The role will contribute to research study designs, protocols, statistical analysis plans, final study reports, publications and client presentations. The role will also support cross-functional delivery of HEOR and broader consulting projects.

Key duties and 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.

Business development and internal contributions

• Support proposals for new business opportunities, including study design, analytical approach and client solutions.
• Contribute to client satisfaction through consistently strong project delivery and clear communication of complex analytical results.
• Identify potential follow-on work, new leads and opportunities to expand Vista Health’s analytics offering across the region.
• Participate in internal knowledge-sharing initiatives and contribute to building best practices for Japanese database studies.

Skills and 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 (where understanding of these approaches may be more limited).
• 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.
• Ability to identify priorities, manage multiple projects and deliver within agreed timelines and scope.
• Comfortable working in a high-energy, small-team environment and able to work well under pressure.
• Excellent writing and presentation skills, including the ability to explain complex statistical methods and results in a logical and coherent manner.
• Experience with HEOR, real-world evidence, publication development or Asia Pacific multi-country research would be an advantage.