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A leading health institution in Singapore is looking for a candidate to join their Health Services Research team. The role involves synthesizing medical literature, working closely with hospital partners, and employing statistical modeling tools. Ideal candidates will possess a degree in a relevant quantitative field, have at least 2 years of experience, and strong communication skills. This position offers a chance to improve healthcare through data-driven insights.
The CGH Health Services Research (HSR) team plays a crucial role in enabling evidence-based decision-making in CGH through translation of data into knowledge using a variety of methodologies and techniques that span across multiple disciplines including artificial intelligence, epidemiology, operations research, public health, statistics. Such evidence-based approach has enabled stakeholders in CGH to realize improvement of patient access to care, patient outcomes and staff productivity.
You will work on a variety of projects that support CGH HSR core functions while operating within the framework of established data governance policies, procedures and guidelines. Key responsibilities include:
Search, critically appraise and synthesize evidence from medical literature to inform stakeholders in the planning and delivery of care as well as in the investment of health technology.
Work with hospital partners to address their challenges through the use of data and appropriate study methodologies which may be quantitative or/and qualitative in nature.
Prepare recommendations and conclusions based on data summaries and communicate this information in a credible, scientific, and timely manner.
Align work priorities with organizational goals, set stakeholder expectations on scope and deliverable schedules in an organized manner.
Job Requirements:Bachelor or Master of Applied Statistics, Applied Mathematics, Biostatistics, Business Analytics, Operations Research or related quantitative disciplines.
At least 2 years of work experience in quantitative field; candidate with less years of experience will be considered for more junior position.
High proficiency in using statistical modeling tools in R, Python, STATA or SPSS.
Excellent methodological, research and problem solving skills.
Prior work experience in qualitative methodologies (interviews and focus group discussions) will be advantageous.
Enjoy working with data to extract insights, and want to contribute to improving healthcare for patients.
Strong project management, presentation and communications skills; able to convey complex ideas effectively.
The motivation to achieve results in a fast-paced environment.
Strong team player who can work cohesively to deliver a high quality service.
Able to manage multiple projects and respond in changing environment.
Prior experience in a healthcare setting would be an advantage but is not required.
Only shortlisted candidates will be notified.