Module Lead - Python+SQL

We are looking forward to hire Python Professionals in the following areas :

:

Experience - 7-10 years

Role: Senior Python Developer

Health Data Engineer - Data Nexus Platform

What Youll Build

• Hospital data integration pipelines: Extract consented patient EHR data from European hospitals pseudonymize standardize to OMOP CDM
• OMOP CDM transformation logic: Map hospital diagnosis codes (ICD-10), lab results (LOINC), medications to OMOP standardized vocabularies (SNOMED-CT)
• Data quality validation framework: Implement 16-dimension data quality checks ensuring data completeness, accuracy, and regulatory compliance for FDA/EMA submissions
• Master data management (MPI): Patient identity resolution, entity matching, and deduplication across multiple hospital systems
• Clinical domain pipelines: Build ETL workflows for 8+ clinical domains including diagnoses, medications, lab results, procedures, clinical assessments, and biomarkers
• Regulatory-grade validation: Prove lossless transformation, maintain audit trails, and ensure GxP compliance for pharmaceutical regulatory submissions

Required Experience

• Healthcare Domain Expertise (Non-Negotiable)
• 5+ years working with hospital EMR/EHR systems (EPIC, Cerner, or similar)
• Hands-on OMOP CDM experience: Mapping hospital data to OMOP Common Data Model (PERSON, VISIT_OCCURRENCE, CONDITION_OCCURRENCE, DRUG_EXPOSURE, MEASUREMENT, etc. )
• Clinical coding systems: Deep familiarity with ICD-10, SNOMED-CT, and LOINC
• Master Data Management (MPI): Patient identity resolution, entity matching, deduplication, golden record creation
• Healthcare data standards: Working knowledge of HL7, FHIR, or EDI
• Real-world hospital data complexity: Understanding of incomplete records, coding variations, longitudinal patient journeys, and clinical workflows

Technical Skills

• Python + SQL: Advanced proficiency for ETL development, data transformation, and validation logic
• Data pipeline development: Building scalable, maintainable ETL/ELT workflows (pandas, PySpark, or similar)
• Data quality frameworks: Schema validation, referential integrity checks, reconciliation logic, null handling, data profiling
• Cloud platforms: Experience with cloud data infrastructure (AWS, GCP, Azure, or Oracle Cloud)
• Version control: Git-based development workflows
• Regulatory Compliance Knowledge
• GxP awareness (preferred): Basic understanding of regulatory data requirements for pharmaceutical submissions
• Data governance: Lineage tracking, metadata management, audit trail documentation

Preferred Background

• Academic health informatics or biomedical informatics training
• Experience with oncology, immunology, or clinical research datasets
• Exposure to clinical trials data or pharmaceutical research
• Knowledge of European hospital systems or GDPR compliance
• Experience with data orchestration tools (Airflow, Azure Data Factory, etc. )

What Were NOT Looking For

• Generic data engineers with only cloud platform experience
• Candidates whove only worked with clean, structured datasets
• ETL developers without healthcare domain knowledge
• Architects who talk conceptually but lack hands-on coding experience

Day-to-Day Responsibilities

• Write Python/SQL code to transform hospital EHR data into OMOP CDM format
• Map clinical codes (ICD-10 SNOMED-CT, local lab codes LOINC) using standardized vocabularies
• Implement data quality validation logic proving 100% data integrity for regulatory submissions
• Build patient identity resolution workflows across multiple hospital data sources
• Debug complex data quality issues in real-world hospital datasets (missing values, coding inconsistencies, schema variations)
• Document transformation logic, data lineage, and validation rules for audit compliance
• Collaborate with hospital partners to understand clinical workflows and data structures
• Support pharmaceutical clients in understanding data quality and OMOP standardization

Our Hyperlearning workplace is grounded upon four principles

• Flexible work arrangements, Free spirit, and emotional positivity
• Agile self-determination, trust, transparency, and open collaboration
• All Support needed for the realization of business goals,
• Stable employment with a great atmosphere and ethical corporate culture