Responsibilities

Work closely with stakeholders to identify problems and formulate research strategy or quality improvement project
Assess and enhance data sources and data-gathering methods
Build algorithms and design experiments to merge, manage and interrogate data
Use machine learning and statistical techniques to solve problems
Communicate complex data insights clearly and effectively to both technical and non-technical audiences
Represent the organisation at external events and conferences
Build and maintain client relationships.

Requirements

PhD and/or master’s degree in Statistic/Mathematic/Data Scient or relevant discipline
4-5 years of experience in analytics and research area
Expertise in health services research (HSR) and applied statistics, with experience in study design, data analysis, and outcome evaluation
Strong background in developing and implementing data-driven solutions for healthcare improvement, with proficiency in AI methodologies (e.g., machine learning, predictive modelling) where applicable
Proven ability to independently manage and execute projects across diverse health services domains, from conceptualization through to implementation, including data transformation, analysis, and interpretation
Proficiency in programming languages (SQL and Python/R) with experience in using analytical frameworks to solve healthcare-related problems
Experienced in Tableau and Microsoft applications
Excellent stakeholder management and multitasking skills
Outstanding communication and interpersonal abilities
Ability to work under pressure and meet tight deadlines
Problem-solving mindset with attention to detail

Shortlisted candidates will be offered a 2 Years Direct contract employment.