{"id":3957993,"url":"https://alion.io/job/evyd-technology-associate-medical-data-specialist","title":"Associate, Medical Data Specialist","company":{"id":675924,"name":"EVYD Technology","domain":"evydtech.com","url":"https://alion.io/company/evydtech","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Brunei Darussalam"],"countries":["BN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Microsoft Excel","optional":false},{"name":"SQL","optional":false},{"name":"Power BI","optional":true},{"name":"Python","optional":true},{"name":"Superset","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-11-09T08:47:13Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-10T01:08:41Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the Role\nWe are looking for an Associate, MDS to support healthcare data initiatives through data analysis, validation, and quality assurance.\nThe 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.\nResponsibilities\nPerform data analysis, validation, and reconciliation of healthcare datasets using SQL and Excel.\nSupport data standardization, mapping, and development of business and medical data rules and logic.\nInvestigate data-related issues, identify root causes, and coordinate with relevant teams towards resolution.\nCollaborate with internal and external stakeholders to clarify data needs and communicate findings.\nMaintain documentation and contribute to improvements in data quality and data management practices.\nRequirements\nEducation \nDegree 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.\nExperience\n1-3 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.\nTechnical Skills\nProficient in SQL, including joins, aggregations, filters, CTEs, and window functions, for data querying and analysis.\nProficient in Excel (lookups, pivots, conditional logic) to validate and compare datasets.\nStrong understanding of data quality principles such as completeness, accuracy, consistency, and duplication, and the ability to reconcile source against output.\nPractical experience in using AI to support data analysis, coding, and documentation while verifying outputs and protecting data confidentiality.\nProficient in English; Mandarin and/or Malay is an advantage.\nGood to Have \nExperience with visualisation or BI tools such as Power BI, Tableau or Superset.\nExposure to data science or statistical modelling (e.g. Python, R).\nFamiliarity with medical terminology or clinical coding standards such as ICD or SNOMED CT.\nPrior experience with healthcare systems, or with clinical or research datasets.\nPreferred Traits\nWe are looking for someone who is:\nAnalytical, with strong attention to detail and able to get to the root cause of discrepancies without prompting.\nProactive and accountable, asking the right questions, flagging risks early, and driving assigned tasks to closure.\nCurious and eager to learn, building new technical and healthcare knowledge over time.\nComfortable working independently, researching, and testing solutions before escalating.\nA 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.\nMeticulous with documentation, keeping logic, assumptions, and findings clear and reproducible.\nInsight-oriented, with the ability to translate data findings into meaningful implications for decision-makers.\nMindful of data privacy and confidentiality when handling patient-level 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