Clinical Data Specialist

Job Title: Senior Clinical Data Scientist / Clinical Data Analyst

Experience: 7+ Years
Location: Bangalore / Chennai / Hyderabad / Noida / Gurgaon (India)
Industry: Pharmaceutical / Healthcare / Life Sciences
Employment Type: Full-time

Job Summary:

We are seeking a highly experienced and analytical Senior Clinical Data Scientist / Analyst with 7+ years of experience in clinical data analysis, pharmaceutical research, and data science methodologies. The ideal candidate will have hands-on experience working with EMR/EHR data, advanced SQL, and machine learning models to derive actionable insights that support clinical research and drug development.

Key Responsibilities:

• Analyze and interpret complex clinical and EMR data to support real-world evidence (RWE), HEOR, and clinical trial analysis.
• Design and develop statistical and machine learning models to predict patient outcomes, drug efficacy, and safety.
• Perform deep-dive analytics using Advanced SQL (CTE, RANK, PARTITION) for cohort identification and data transformation.
• Collaborate with cross-functional teams including biostatisticians, clinical operations, and regulatory affairs.
• Ensure data quality and integrity from diverse sources like EMR, claims, lab systems, and clinical trial management systems (CTMS).
• Automate data pipelines and implement best practices in reproducible analytics.
• Create dashboards, data visualizations, and reports for stakeholders and medical affairs teams.
• Stay up to date with current industry trends in real-world data (RWD), clinical informatics, and regulatory requirements.

Required Skills:

• 7+ years of experience in clinical data analytics or data science within the Pharma/Healthcare domain.
• Strong expertise in Advanced SQL: CTEs, Window Functions (RANK, DENSE_RANK, PARTITION BY), joins, subqueries.
• Experience working with EMR/EHR systems such as Epic, Cerner, Meditech, etc.
• Proficiency in Python, R, or SAS for statistical and machine learning modeling.
• Strong knowledge of clinical trial design, ICD/CPT coding, MedDRA, and pharmacovigilance datasets.
• Hands-on with machine learning frameworks (Scikit-learn, XGBoost, etc.) for prediction and classification tasks.
• Familiarity with regulatory guidelines such as HIPAA, GCP, and 21 CFR Part 11.
• Experience with data visualization tools such as Tableau, Power BI, or Python-based dashboards.

Preferred Qualifications:

• Master’s or Ph.D. in Data Science, Biostatistics, Bioinformatics, Public Health, or a related field.
• Prior experience in RWE/RWD analytics, HEOR studies, or pharma R&D analytics.
• Knowledge of CDISC SDTM/ADaM standards.
• Experience working with cloud platforms (AWS, Azure, GCP) and data lake architecture is a plus.

Job Type: Contractual / Temporary
Contract length: 12 months

Schedule:

• US shift

Application Question(s):

• What would your NP?
• Which location would you pick Bangalore / Chennai / Hyderabad / Noida / Gurgaon (India)

Experience:

• Data science: 5 years (Preferred)
• Machine learning: 5 years (Preferred)
• EMR systems: 5 years (Preferred)

Work Location: In person