Data Science Analyst - Modelling & Publication (Data Analytics & AI)
- Singapore
- Permanent
- Full-time
- Assists in the conceptualization of analytical projects
- Maintain project plans and status reports for all incoming and active projects
- Provide subject matter expertise to stakeholders throughout the whole analytics lifecycle
- Prepare documentation to outline data sources, models and algorithms used and developed
- Drive data collection efforts
- Assist with developing new data-discovery tools
- Extract data from data sources
- Propose new uses for existing data sources and structures
- Integrate multiple data sets to build large and complex data sets
- Apply programming abilities to build software to scrub, combine, and manage data from a variety of sources
- Apply data mining techniques and programming skills to investigate leads, identify patterns and regularities in data
- Develop data models based on advanced statistical modelling, data mining, and machine learning methods
- Implement automated processes for efficiently producing scale models
- Identify areas of improvement of current processes, products/services or analytical models
- Assist with the development of actionable recommendations
- Develop compelling, logically structured presentations including story-telling of research/analytics findings
- Guide stakeholders on how to act on findings
- Research on latest technologies and applications in the healthcare space
- Perform literature reviews and identify innovative technologies with potential application and impact in the healthcare sector, focusing on the adaptation of language and multimodal models to healthcare-specific use-cases
- Identify pain-points and formulate problem statements relevant to healthcare use-cases where novel technologies can be applied and bring value
- Identify appropriate sources of data for technology testing
- Perform Proof-of-Concept (PoC) studies to demonstrate the feasibility of implementing such technologies and document outcomes rigorously
- Support the implementation of AI-related policies within Synapxe
- Help in publication strategy and writing/reviewing papers
- Search and identify the most adequate and impactful peer-reviewed journals for publication of studies or project conducted at Synapxe Data Analytics and AI team
- Contribute to draft, review, and edit manuscripts following rigorous scientific writing style and standards
- Contribute ideas to improve the quality and acceptance likelihood of manuscripts
- Liase with external vendors/stakeholders to establish successful collaborations
- PhD or Masters in a quantitative field such as Mathematics, Statistics, Information Technology, Physics, Engineering, Finance or equivalent
- Solid research and engineering background and experience in computer vision, deep learning, and image/signal data processing/analysis algorithms
- Proficiency in python programming language for data processing and model development
- Scientific writing skills
- Understanding of manuscript submission, guides for authors, and publication process
- Experience with tools to create publication-quality figures
- Familiarity with reference managing tools is a plus
- Knowledge with hypothesis testing and statistical tests is a plus
- Knowledge on digital technologies and AI policies in the Government sector and experience with strategic planning and management in Healthcare institutions
- Ability to communicate effectively and present results and findings
- Ability to multitask and work as part of a multidisciplinary team
- Adaptability to work on a constantly evolving environment
- Ability to document work comprehensively and rigorously