Principal Solution Architect, Clinical Data Analytics & Technology

Novartis is hiring a Principal Solution Architect, Clinical Data Analytics & Technology in Hyderabad, India. Level rates it ; you can apply on Novartis.

Level's read on this job

Works on AI ●●●○ is how Level rates this solutions architect role: the daily work is on AI products, without building the model.
Some of the work can be done remotely, according to the posting.
The posting mentions R, Python and solution architecture among its tools and skills.
Novartis has 843 other open roles on Level.
Posted within the past two weeks.

AI in this role

Design and deliver scalable clinical trial central monitoring analytics and technology solutions using advanced AI and statistical approaches.

rpython

solution-architectureclinical-data-analyticsrisk-based-quality-managementstatistical-modelingcentral-monitoring

Job Description Summary

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

What if your technical leadership could transform how clinical trial risks are detected and managed across an entire portfolio? As Senior Principal Solution Architect, Clinical Data Analytics & Technology ( RBQM Data Analyst), you will design and deliver scalable central monitoring analytics and technology solutions that strengthen clinical data quality, trial oversight, and operational efficiency. Combining hands-on technical expertise with portfolio leadership, you will shape monitoring platforms, risk indicators, statistical models, automation, and advanced analytics that strengthen data quality, improve operational efficiency, and enable proactive decision-making across Clinical Portfolio.

Job Description

Key Responsibilities

Lead Central Monitoring platform configuration across an assigned portfolio of clinical studies.
Design and maintain Key Risk Indicators, Quality Tolerance Limits, risk signals, and statistical monitoring models. Develop and support maintenance of KRIs, QTL library
Draft Central monitoring platform specification and refer clinical protocol, CRF, Study ALS and vendor data transfer specification.
Deliver end-to-end platform configuration, validation, user acceptance testing, and study go-live activities.
Partner with Clinical, Central monitoring, data management, biostatistics and technology teams to deliver effective analytics strategies.
Resolve complex data integration, transformation, visualisation, platform, and risk-signal generation issues.
Advance automation, artificial intelligence, machine learning, and statistical approaches to improve risk detection. Simply central monitoring platform development
Provide technical guidance, training, and knowledge sharing to members within team
Driving AI, automation and future-state analytics strategy
Managing relationships with vendors and key stakeholders
Defining success measures and driving key objectives within team
Scaling the capability across the portfolio

Essential Requirements

More than 12-14 years of extensive relevant experience in pharmaceutical development, clinical research, data analytics, or healthcare technology.
Strong experience delivering Risk-Based Quality Management and Central Monitoring solutions across clinical trial portfolios.
Hands-on expertise configuring Central Monitoring platforms, analytics modules, dashboards, and reporting solutions.
Demonstrated experience developing Key Risk Indicators, Quality Tolerance Limits, risk signals, and statistical monitoring models.
Ability to translate complex KRIs and QTL requirements and support such output development in platform
Strong knowledge of clinical data integration, transformation, visualisation, validation, and analytical troubleshooting.
Strong knowledge of International Council for Harmonization E6(R3), risk-based monitoring principles, and clinical trial quality management.
Strong leadership, communication, and stakeholder-management skills, with the ability to guide teams in a global matrix environment.
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 implementing artificial intelligence, machine learning, automation, or advanced statistical monitoring solutions.
Advanced knowledge of unsupervised statistical testing and approaches for improving signal quality and reducing false positives.
Experience leading technical delivery across a portfolio of global clinical studies.
Experience providing technical coaching, training, and guidance to junior colleagues and cross-functional stakeholders

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

Classification Methods, Clinical Trials, Computer Data Storage, Computer Programming, Data Analysis, Data Reporting, Data Structures, Programming Languages, Statistical Analysis, Taking Initiative

How we rate this

Principal Solution Architect, Clinical Data Analytics & Technology at Novartis rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Principal Solution Architect, Clinical Data Analytics & Technology is an open job at Novartis.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Hyderabad (Office) and is marked remote.
The job was posted on October 14, 2026.
Seniority: lead.
Applications are handled by Novartis. Apply on Novartis

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Solution ArchitectureClinical Data AnalyticsRisk Based Quality ManagementStatistical ModelingCentral MonitoringRPython

Also common in solutions architect jobs at this level

AWS Generative AI Azure Google Cloud LLM Kubernetes

Pay

Typical solutions architect job: $168k

This posting doesn't list pay. Use the typical solutions architect figure when pay comes up. See solutions architect jobs

Questions you could be asked

Tell me about a project where solution architecture was part of your work. What did you do?
Tell me about a project where clinical data analytics was part of your work. What did you do?
Tell me about a project where risk based quality management was part of your work. What did you do?
Tell me about a project where statistical modeling was part of your work. What did you do?
Tell me about a project where central monitoring was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Solution Architecture, Clinical Data Analytics, Risk Based Quality Management, Statistical Modeling, and Central Monitoring. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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