About the Role
We are looking for an Associate, MDS to support healthcare data initiatives through data analysis, validation, and quality assurance.
The role works closely with Data Engineers, Data Scientists and other stakeholders to support data requirements, investigate data-related issues, and drive continuous improvement in healthcare data processes.
Responsibilities
- Perform data analysis, validation, and reconciliation of healthcare datasets using SQL and Excel.
- Support data standardization, mapping, and development of business and medical data rules and logic.
- Investigate data-related issues, identify root causes, and coordinate with relevant teams towards resolution.
- Collaborate with internal and external stakeholders to clarify data needs and communicate findings.
- Maintain documentation and contribute to improvements in data quality and data management practices.
Requirements
Education
Degree or equivalent qualification in Data Science, Data Analytics, Health or Medical Informatics, Biomedical Science, Public Health, Statistics, Information Systems, Medicine, Health Sciences, or related fields.
Experience
1–3 years of relevant experience in data analytics, healthcare data, data quality, business intelligence, or health informatics. Experience with healthcare or medical data is an advantage.
Technical Skills
- Proficient in SQL, including joins, aggregations, filters, CTEs, and window functions, for data querying and analysis.
- Proficient in Excel (lookups, pivots, conditional logic) to validate and compare datasets.
- Strong understanding of data quality principles such as completeness, accuracy, consistency, and duplication, and the ability to reconcile source against output.
- Practical experience in using AI to support data analysis, coding, and documentation while verifying outputs and protecting data confidentiality.
- Proficient in English; Mandarin and/or Malay is an advantage.
Good to Have
- Experience with visualisation or BI tools such as Power BI, Tableau or Superset.
- Exposure to data science or statistical modelling (e.g. Python, R).
- Familiarity with medical terminology or clinical coding standards such as ICD or SNOMED CT.
- Prior experience with healthcare systems, or with clinical or research datasets.
Preferred Traits
We are looking for someone who is:
- Analytical, with strong attention to detail and able to get to the root cause of discrepancies without prompting.
- Proactive and accountable, asking the right questions, flagging risks early, and driving assigned tasks to closure.
- Curious and eager to learn, building new technical and healthcare knowledge over time.
- Comfortable working independently, researching, and testing solutions before escalating.
- A clear communicator and team player, able to explain findings to both technical and non-technical audiences and to work effectively across Data Engineering, Data Science and other stakeholder teams.
- Meticulous with documentation, keeping logic, assumptions, and findings clear and reproducible.
- Insight-oriented, with the ability to translate data findings into meaningful implications for decision-makers.
- Mindful of data privacy and confidentiality when handling patient-level data.
