jobs in National Healthcare Group

全职 Sr Research Analyst 工作, 薪水, National Healthcare Group 公司招聘中 - Ricebowl

Sr Research Analyst

National Healthcare Group

全职

Singapore

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工作地点

  • Singapore

职位描述

岗位职责

Family Group: Administration

  • PRINCIPAL RESPONSIBILITIES


  • Design, develop, and implement advanced analytics and machine learning models, including LLM-powered and agentic AI solutions, to support clinical decision-making and care pathway optimisation.

  • Build, maintain, and optimise automated data pipelines and ETL processes.

  • Clean, preprocess, validate, and analyse large healthcare datasets to ensure accuracy, consistency, and completeness.

  • Apply advanced statistical methods and data mining techniques to identify patterns, trends, and insights in healthcare data.

  • Develop predictive models and analytical tools to support population health and primary care initiatives.

  • Collaborate closely with clinical and operational teams to integrate AI and analytics solutions into real-world care workflows.

  • Create interactive dashboards and analytical reports with a strong focus on usability and clarity for non-technical stakeholders.


  • SECONDARY RESPONSIBILITIES


The Senior Research Analyst may also be part of a study team with the following responsibilities:

  • Monitor data integrity over time and proactively identify, investigate, and resolve data quality issues or anomalies.

  • Develop and implement systematic data quality checks and validation frameworks.

  • Prepare clear, concise reports and presentations to communicate findings, insights, and recommendations to stakeholders.

  • Support ongoing evaluation, validation, and refinement of analytics and AI solutions in real-world settings.

  • Undertake additional duties and responsibilities as assigned by the Reporting Officer.


JOB SPECIFICATION

Qualifications

:

  • Master’s or PhD degree in a quantitative discipline such as Computer Science, Mathematics, Data Analytics, Data Science, Statistics, or a related field.
  • Formal training in data science, analytics, machine learning, or artificial intelligence is required.



Experience

:

  • 3–5 years of relevant experience in a data science, analytics, or research-focused role.
  • Demonstrated experience working with large, complex datasets, preferably in healthcare or population health settings.
  • Experience designing, developing, and deploying machine learning or advanced analytics solutions.
  • Prior exposure to healthcare data, clinical workflows, or real-world health system implementation is an advantage.



Special Attributes and Knowledge

:

  • Demonstrates strong commitment to organizational goals, encouraging innovation and empowering staff.
  • Able to work well independently as well as in a team. Possesses the knowledge and skills to autonomously plan and implement key research activities. For projects which require multi-disciplinary collaboration, understands the importance of contributing to the team, tapping on the strengths, as well as adjusting to the limitations of individual members.
  • Strong sense of professionalism and integrity. Maintains a healthy working relationship with the client built on trust and mutual respect. Provides regular updates and keeps communication lines open throughout the life cycle of the project. Good negotiation skills and works within realistic and reasonable expectations.
  • Proficiency in programming and analytics tools such as Python, R, and SQL for data manipulation, analysis, and modelling.
  • Strong knowledge of statistical techniques and data mining methods.
  • Experience creating intuitive data visualisations and dashboards using tools such as Tableau or Power BI, with an ability to communicate insights to non-technical audiences.
  • Knowledge of AI and machine learning approaches, including experience with LLMs or agentic AI systems, is highly desirable.
  • Familiarity with cloud computing platforms (especially AWS) and modern development frameworks (e.g. Streamlit, NextJS, TypeScript).
  • Proficiency in RESTful API development using FastAPI or equivalent frameworks is a plus.
  • Strong attention to detail, analytical thinking, and commitment to data quality and integrity.
  • Excellent written and verbal communication skills, with the ability to work independently and collaboratively in a fast-paced, interdisciplinary environment.



Professional License (if any)

:

Nil

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