Urgent Search Data Engineer

4 weeks ago

Bengaluru, Karnataka, India Aster DM Healthcare Full time
Job Description

1. Data Mining & Predictive Analytics

- Analyze large-scale healthcare datasets, including EHRs, claims data, and operational databases.
- Apply machine learning algorithms and statistical methods to identify trends, anomalies, and patterns related to patient outcomes and healthcare delivery.
- Develop predictive models to forecast health risks and treatment responses for proactive care planning.
- Use tools such asPython (Pandas, NumPy, Scikit-learn, TensorFlow),SQL,Hadoop,Spark, andNoSQL databases.

2. Data Slicing, Dicing & OLAP Analysis

- Perform data segmentation based on demographics, conditions, or treatment histories to support targeted analysis.
- Conduct OLAP operations like drill-down, slicing and dicing to explore multi-dimensional views of healthcare data.
- Utilize tools such asSQL,Excel,Power BI,Tableau, and Python libraries (Matplotlib,Seaborn).

3. Data Visualization & Reporting

- Create intuitive dashboards and reports that communicate KPIs, patient outcomes, and performance metrics to various stakeholders.
- Design and develop visual representations (bar charts, heatmaps, flow diagrams) to make complex data accessible and actionable.
- Ensure clarity, accuracy, and transparency in all visual communications using tools likePower BI,Tableau,D3.js,Matplotlib, andSeaborn.

Example Datasets Youll Work With:

- Clinical Data: EHRs, medication records, patient history.
- Operational Data: Facility management, staff allocation.
- Financial Data: Insurance claims, billing, cost metrics.
- Outcome Data: Patient satisfaction, readmission rates, treatment efficacy.

Qualifications:

- Bachelors or Masters in Computer Science, Data Science, Health Informatics, Biostatistics, or a related field.
- 36 years of experience in healthcare data analytics or a related domain.
- Proficiency in SQL, Python, and data visualization platforms (Power BI, Tableau).
- Experience working with large healthcare datasets and machine learning models.
- Strong understanding of healthcare operations and data privacy standards (e.g., HIPAA)

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