Expert Solution Architect, Clinical Data Analytics & Technology

Novartis; Mumbai City; Hybrid; INR 2,400,000 - 4,200,000; Full time

Benefits offered by this job

Hybrid working

Relocation support

Job summary

Novartis India is seeking an Expert Solution Architect, Clinical Data Analytics & Technology (RBQM Data Analyst) to implement risk-based quality management and central monitoring solutions across Clinical Data Operations. You will configure monitoring platforms, develop risk indicators, and deliver scalable analytics that strengthen study oversight and data-driven decisions.

With 7–10 years in pharma/healthcare tech, you will work with cross-functional teams, oversee data integration from EDC,

Qualifications

• 7–10 years in pharma/biotech/clinical research or healthcare tech.
• Hands-on RBQM, Central Monitoring, and data analytics experience.
• Experience configuring Central Monitoring platforms like CluePoints.
• Experience implementing KRIs, Quality Tolerance Limits, risk signals.
• Knowledge of analytical programming languages: R, Python, SQL, SAS.
• Proficient with BI/data viz tools: Power BI, Spotfire, Tableau.
• Familiarity with EDC, CDMS, metadata-driven environments, CDISC standards.
• Understanding RBQM, monitoring, GxP and data privacy regulations.
• Ingestion, harmonization, mapping, transformation of multi-source data.
• Ability to manage setup, go-live, changes, troubleshooting, archival.

Responsibilities

• Configure and maintain Central Monitoring studies, dashboards, reports, and analytics.
• Develop KRIs, Quality Tolerance Limits, risk signals, and statistics.
• Draft platform specifications referencing protocols, CRF, and data transfers.
• Extract, transform, and integrate data for central monitoring and analytics.
• Test, validate, and quality-check study configurations and outputs.
• Support go-live activities, maintenance, and change requests.
• Develop automation scripts using R, Python, SQL, or similar tech.
• Maintain technical docs and reusable templates for training.

Skills

RBQM

Central Monitoring

Clinical Data Analytics

Data Visualization

Automation scripting

SAS/SQL/R/Python

Quality Assurance

GxP knowledge

Tools

CluePoints

SAS

SQL

R

Python

Power BI

Tableau

Spotfire

EDC systems

CTMS

Job description

Job Description Summary

Role Type: Hybrid Working, #LI-Hybrid
Primary Location: Hyderabad, India
Other Location: Mumbai, India
Relocation Support: Yes

What if your technical expertise could help clinical teams identify risks earlier and protect the quality of clinical trial data? As Expert Solution Architect, Clinical Data Analytics & Technology (RBQM Data Analyst), you will implement and support Risk-Based Quality Management and Central Monitoring solutions across Clinical Data Operations. Working with clinical, data, central monitoring, and technology teams, you will configure monitoring platforms, develop risk indicators and analytics, and deliver scalable solutions that strengthen study oversight and data-driven decision-making.

Job Description

Key Responsibilities

• Configure and maintain Central Monitoring studies, dashboards, reports, and analytics solutions for given studies
• Develop Key Risk Indicators, Quality Tolerance Limits, risk signals, and statistical outputs/DQA aligned with approved monitoring strategies/ Specifications.
• Draft Central monitoring platform specification and refer clinical protocol, CRF, Study ALS and vendor data transfer specification.
• Extract, transform, and integrate clinical and operational data used for centralised monitoring and risk analytics.
• Test, validate, and quality-check study configurations, dashboards, indicators, and statistical monitoring outputs.
• Support study go-live activities, ongoing maintenance, change requests, troubleshooting, and monitoring updates.
• Develop automation scripts and analytical solutions using R, Python, Structured Query Language, or comparable technologies.
• Maintain technical documentation and contribute reusable templates, code libraries, training, and continuous-improvement initiatives.

Essential Requirements

• Seven to ten years of relevant experience in the pharmaceutical, biotechnology, clinical research, or healthcare technology industry.
• Hands-on experience with Risk-Based Quality Management, Central Monitoring, clinical data analytics, reporting, or clinical technology implementation.
• Experience configuring and maintaining Central Monitoring platforms, such as CluePoints or an equivalent solution.
• Experience implementing Key Risk Indicators, Quality Tolerance Limits, risk signals, and statistical monitoring test/ DQA approaches for clinical studies.
• Working knowledge of analytical programming using R, Python, Structured Query Language, Statistical Analysis System, or comparable technologies.
• Proficiency with business intelligence and data-visualisation tools such as Power BI, Spotfire, or Tableau.
• Familiarity with electronic data-capture systems, clinical data repositories, metadata-driven environments, and Clinical Data Interchange Standards Consortium standards.
• Understanding of Risk-Based Quality Management, centralised monitoring, Good Clinical Practice, Good Practice quality requirements, and applicable data-privacy regulations.
• Interpret protocols, monitoring plans, quality plans, critical data, endpoints, CtQ factors, risks, and study-specific needs
• Understanding ingestion, harmonization, mapping, transformation and data from different sources like EDC, CTMS, IRT/IWRS, laboratory and other third-party data
• Use SAS, SQL, R, Python or equivalent languages for data manipulation, analytics, automation, and troubleshooting
• Manage setup, go-live, refreshes, change requests, protocol amendments, troubleshooting, and study closeout/archival activities
• Deliver assigned work on time and to first time-right quality standards.

Desirable Requirements

• Experience developing automated data pipelines, reusable code libraries, and scalable analytical solutions.
• Experience supporting advanced analytics clinical trial activities.
• Knowledge of Study Data Tabulation Model and Analysis Data Model standards.
• Experience supporting quality-control documentation, validation, audit readiness, and regulated system implementation.

Why Novartis

Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture

Benefits and Rewards

Learn about all the ways we’ll help you thrive personally and professionally.

Read our handbook (PDF 30 MB)

Skills Desired

Clinical Trials, Computer Programming, Data Analysis, Data Reporting, Programming Languages, Statistical Analysis