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:

hire@kasmoprav.com

jagadeesh@kasmoprav.com

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

Work Location: Remote