Job FunctionsDesigning and implementing predictive models for clinical outcomes, readmission risks, patient deterioration, and other healthcare-specific use cases using machine learning techniquesEngineering data pipelines that transform raw healthcare data into analytics-ready formats suitable for predictive modellingDeveloping interactive, real-time predictive dashboards in Power BI that enable clinical and operational decision-makers to take proactive actionsApplying statistical methods to identify patterns, trends, and correlations in healthcare data that inform risk stratification and population health managementCreating and maintaining ETL processes that ensure data quality and accessibility for predictive analytics workflowsImplementing analytics solutions for provider charge capture optimization and claims processing efficiencyCollaborating with clinical and operational stakeholders to translate predictive insights into actionable interventions
Job RequirementsBachelor's degree in health informatics, Data Science, Biostatistics, or related field3+ years of experience applying predictive analytics specifically within healthcare environments (provider, payer, or health tech)Demonstrated experience building predictive models using healthcare data (e.g., readmission prediction, cost prediction, clinical deterioration models)Strong proficiency in SQL and Python for data manipulation and statistical analysisExperience engineering data pipelines that integrate healthcare data sources (claims, EHR, clinical)Expertise in embedding predictive analytics within Power BI to create actionable dashboardsDeep understanding of healthcare data structures including medical claims (CPT, ICD codes), EHR/EMR systems, and clinical workflowsFamiliarity with NLP techniques for unstructured clinical text analysis. Understanding of risk adjustment models (HCC, CMS-HCC) and their application in predictive analytics
SkillsBachelor's degree in health informatics, Data Science, Biostatistics, or related field3+ years of experience applying predictive analytics specifically within healthcare environments (provider, payer, or health tech)Demonstrated experience building predictive models using healthcare data (e.g., readmission prediction, cost prediction, clinical deterioration models)Strong proficiency in SQL and Python for data manipulation and statistical analysisExperience engineering data pipelines that integrate healthcare data sources (claims, EHR, clinical)Expertise in embedding predictive analytics within Power BI to create actionable dashboardsDeep understanding of healthcare data structures including medical claims (CPT, ICD codes), EHR/EMR systems, and clinical workflowsFamiliarity with NLP techniques for unstructured clinical text analysis. Understanding of risk adjustment models (HCC, CMS-HCC) and their application in predictive analyticsStrong communication skills to collaborate with clinical and operational stakeholdersAbility to work independently and as part of a teamAttention to detail and ability to manage multiple projects simultaneouslyWillingness to learn new technologies and adapt to changing requirements
Job Title:
Data Specialist – Business Intelligence
Location: Gurgaon , UK Shift (2pm to 11 pm)Department: Business Intelligence YOE: 4-5 years Reports to:
Product Manager
Job Type: Full-time We are seeking a Data Specialist to build provider-specific reports and optimize our healthcare facility's revenue cycle operations - improving patient outcomes, reducing costs, and enhancing healthcare delivery. You will develop clinical and financial data products for healthcare providers to achieve actionable insights that improve provider reimbursement rates, reduce claim denials, and enhance revenue integrity for hospitals and physician practices. Key Duties & Responsibilities Here’s what you will experience working as a Data Specialist:
- Design and implement predictive models for clinical outcomes, readmission risks, patient deterioration, and other healthcare-specific use cases using machine learning techniques
- Engineer data pipelines that transform raw healthcare data (claims, EHR, clinical) into analytics-ready formats suitable for predictive modelling
- Develop interactive, real-time predictive dashboards in Power BI that enable clinical and operational decision-makers to take proactive actions
- Apply statistical methods to identify patterns, trends, and correlations in healthcare data that inform risk stratification and population health management
- Create and maintain ETL processes that ensure data quality and accessibility for predictive analytics workflows.
- Implement analytics solutions for provider charge capture optimization and claims processing efficiency
- Apply statistical methods to identify patterns in provider denial rates, payment variances, and collection cycles
- Collaborate with clinical and operational stakeholders to translate predictive insights into actionable interventions.
- Ensure all analytics solutions comply with HIPAA and healthcare data security regulations
Required Qualifications
- Bachelor's degree in health informatics, Data Science, Biostatistics, or related field
- 3+ years of experience applying predictive analytics specifically within healthcare environments (provider, payer, or health tech)
- Demonstrated experience building predictive models using healthcare data (e.g., readmission prediction, cost prediction, clinical deterioration models)
- Strong proficiency in SQL and Python for data manipulation and statistical analysis
- Experience engineering data pipelines that integrate healthcare data sources (claims, EHR, clinical)
- Expertise in embedding predictive analytics within Power BI to create actionable dashboards
- Deep understanding of healthcare data structures including medical claims (CPT, ICD codes), EHR/EMR systems, and clinical workflows
- Familiarity with NLP techniques for unstructured clinical text analysis.
- Understanding of risk adjustment models (HCC, CMS-HCC) and their application in predictive analytics
Technical Proficiency
- Microsoft Platform: Microsoft Fabric, Power BI, PowerQuery
- BI Tools: Advanced Power BI, DAX, Power Query, embedded predictive capabilities.
- Data Analysis: Advanced SQL, Python (scikit-learn, Pandas, NumPy)
- Data Architecture: Data lineage, Data mesh principles & modelling (good to have)
- Healthcare Data: EMR integrations, claims data, EHR systems (Epic, Cerner)
- Interoperability standards: (HL7, FHIR) & their implementation
Benefits
- Competitive salary with performance-based bonuses tied to successful predictive model implementation
- Comprehensive medical insurance
- Paid time off, holidays, and parental leave
- Professional development opportunities in healthcare-specific AI/ML certifications
This position offers an exciting opportunity to apply data science and engineering principles to solve critical healthcare challenges through advanced predictive analytics.
Life at Neolytix
We provide shared services solutions for Medical Offices supporting Revenue Cycle Management, Credentialing, Virtual Assistants, IT Support, Practice Marketing with guaranteed impact on the overall bottom line. That means better service for a lower cost.
Thrive Here & What We Value1. Respected and loved by clients2. Complimentary Medical Coverage for your Family3. Retirements Savings Plan4. Life & Disability Insurance
