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Senior Data Engineer-Healthcare

Kasmoprav
Remote

Quick apply

Job details

Contractual / Temporary
₹70,000 - ₹90,000 a month
8 hours ago

Qualifications

EHR systems
R
SQL
Analysis skills
Quality assurance
Natural language processing
EMR systems
Redshift
Python

Full job description

Job Title: Data Engineer

Experience: 4+ Years
Work Shift: 2:00 PM – 10:00 PM
Domain Requirement: Pharmaceutical / Healthcare / Life Sciences

About the Role

We are seeking an experienced Healthcare Data Engineer / Clinical Data Scientist to support the development of high-quality real-world evidence (RWE) datasets. The ideal candidate will work closely with clinical Subject Matter Experts (SMEs) to implement clinical rules, engineer patient-level datasets, and integrate structured and unstructured healthcare data sources. This role requires strong expertise in healthcare data, clinical event algorithms, and large-scale data processing.

Key ResponsibilitiesClinical Rule Implementation

Translate SME-designed clinical rules into scalable, reproducible data pipelines operating against centralized healthcare data lakes.
Implement protocol-driven clinical event definitions and business logic.

Structured & Unstructured Data Integration

Engineer patient-level features using medical claims, pharmacy claims, EMR/EHR data, laboratory results, and NLP-derived outputs.
Integrate structured and unstructured healthcare data to improve clinical data completeness and accuracy.

Disease-Specific Dataset Development

Build and maintain disease-focused datasets, including:
Cohort identification and construction
Index date determination
Treatment sequencing
Clinical event labeling
Outcome tracking

Line of Therapy (LOT) Algorithm Development

Design and implement line-of-therapy algorithms that address real-world treatment complexities, including:
Combination regimens
Treatment gaps
Dose modifications
Switching patterns
Off-label therapy usage

NLP Signal Integration

Incorporate NLP-derived clinical signals such as:
Diagnosis mentions
Disease staging
Biomarker results
Disease progression indicators
Combine NLP outputs with structured claims and EMR data to enhance dataset quality.

Data Quality Assurance

Develop and maintain data quality validation frameworks and reports.
Conduct sample-level audits to verify clinical logic and dataset accuracy.
Identify anomalies and recommend corrective actions.

Cross-Functional Collaboration

Partner closely with clinicians, epidemiologists, data scientists, and SMEs.
Participate in iterative reviews to refine clinical rules, identify logic gaps, and improve data outputs.

Required Qualifications

4+ years of experience in Data Science, Health Data Engineering, Biostatistics, Real-World Data (RWD), Health Economics & Outcomes Research (HEOR), or related life sciences domains.
Strong proficiency in SQL and Python (preferred) or R.
Hands-on experience working with:
Medical Claims Data
Pharmacy Claims Data
EMR/EHR Data
Experience building patient-level healthcare datasets at scale.
Familiarity with NLP-generated outputs and integrating unstructured clinical information into structured datasets.
Proven experience implementing clinical event algorithms from protocol-level specifications.
Strong analytical, problem-solving, and data validation skills.

Preferred Qualifications

Experience working with cloud-based data platforms such as Snowflake, Redshift, or Databricks.
Familiarity with OMOP CDM or other healthcare data models.
Experience with oncology datasets or specialty disease areas.
Knowledge of Real-World Evidence (RWE) methodologies and healthcare analytics.
Ability to work effectively within a pod-based, highly collaborative clinical environment.

Technical Skills

SQL
Python / R
Healthcare Claims Data
EMR/EHR Data
NLP Integration
Clinical Data Modeling
Cohort Building
Line of Therapy Algorithms
Data Quality & Validation
Snowflake / Databricks / Redshift (Preferred)
OMOP CDM (Preferred)

Application Process

Interested candidates can share their updated resume to:

[email protected]

Pay: ₹70,000.00 - ₹90,000.00 per month

Work Location: Remote

Quick apply

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