Sr. Data Scientist

Genzeon Global

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profile Job Location:

Hyderabad - India

profile Monthly Salary: Not Disclosed
profile Experience Required: 5years
Posted on: 17 hours ago
Vacancies: 1 Vacancy

Job Summary

Data Scientist


Job Overview
We are seeking an experienced Data Engineer with strong AI engineering expertise to design build and optimize large-scale healthcare data platforms. The ideal candidate will have hands-on experience in data pipelines orchestration frameworks EHR data integration and AI/ML model enablementdriving the transformation of healthcare data into actionable intelligence.

Key Responsibilities

  • Architect build and optimize scalable ETL/ELT pipelines to process structured and unstructured healthcare data.
  • Design data systems that directly support AI/ML workflows including feature engineering data versioning and real-time model serving.
  • Ingest and normalize healthcare data from EHR systems (Epic Cerner etc.) with expertise in FHIR HL7 and Epic Clarity extracts ensuring HIPAA/HITRUST compliance.
  • Implement and manage workflows using Airflow Prefect or similar orchestration tools.
  • Collaborate with data scientists ML engineers and backend developers to deliver high-quality AI-ready datasets.
  • Implement monitoring anomaly detection and automated quality checks for large-scale healthcare datasets.

Minimum Qualifications

  • Bachelors degree in Computer Science Data Engineering AI/ML or related field.
  • 4 years of experience in data engineering with proficiency in Python MongoDB and distributed data systems.
  • Proven track record in building data pipelines for healthcare/EHR systems.
  • Experience with data lakes cloud storage (Azure AWS or GCP) and scalable data architectures.

Highly Preferred Qualifications

  • Expertise in AI/ML data pipelines including feature store design model input pipelines and real-time data streaming.
  • Proficiency with Spark Databricks or equivalent big data tools.
  • Hands-on experience with Azure Data Factory Synapse and AI/ML ecosystem tools.
  • Experience with RESTful APIs and microservices for exposing healthcare/AI data assets.
  • Knowledge of data quality lineage and governance frameworks (e.g. Great Expectations DataHub).
  • Familiarity with vector databases embeddings and LLM integration for AI use cases





Required Skills:

Data Science AI ML

Data Scientist Job Overview We are seeking an experienced Data Engineer with strong AI engineering expertise to design build and optimize large-scale healthcare data platforms. The ideal candidate will have hands-on experience in data pipelines orchestration frameworks EHR data integration and AI/M...
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Company Industry

IT Services and IT Consulting

Key Skills

  • Laboratory Experience
  • Immunoassays
  • Machine Learning
  • Biochemistry
  • Assays
  • Research Experience
  • Spectroscopy
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Data Analysis Skills