Jobs / United States / Novartis Pharmaceuticals Corporation
Senior Principal Solution Architect, Clinical Data Analytics & Technology
Novartis Pharmaceuticals Corporation · 🇺🇸 2 Locations
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 75 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 31 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Novartis Pharmaceuticals Corporation paid sponsored hires in similar roles23 certified filings for “Director, Forecasting-CV” (Data Scientists) in NJ: $170k–$170k, median $170k. Most were filed at wage level IV (83%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Novartis Pharmaceuticals Corporation
The US Department of Labor certified 75 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 31 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Novartis Pharmaceuticals Corporation →
About the role
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? As 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 development with cross-functional leadership, you will shape Central Monitoring platforms, risk indicators, statistical monitoring models, and advanced analytics that enable proactive, data-driven decisions across the clinical studies. Job Description Key Responsibilities • Lead the design and continuous improvement of Central Monitoring platform configurations and dashboards. • Develop and govern Key Risk Indicators, Quality Tolerance Limits, risk signals, and statistical monitoring models/ DQA. • Draft Central monitoring platform specification and refer clinical protocol, CRF, Study ALS and vendor data transfer specification. • Platform setup, quality control, validation, and go-live readiness across the assigned trials ( 3-5 studies). • Partner with Clinical, Central monitoring, data management, biostatistics and technology teams to deliver effective analytics strategies. • Provide technical leadership for data integration, risk analytics, visualisation, troubleshooting, and platform performance. • Drive automation, standardisation, artificial intelligence, machine learning, and advanced analytics across monitoring operations. • Mentor Risk-Based Quality Management Data Analysts and strengthen organisational capability through coaching and knowledge sharing. Essential Requirements • More than nine to eleven years of relevant experience in the pharmaceutical, biotechnology, clinical research, or healthcare technology industry. • Extensive experience in Risk-Based Quality Management and clinical data analytics supporting global clinical trials. • Hands-on experience configuring Central Monitoring platforms, such as CluePoints or an equivalent Risk-Based Quality Management system. • Demonstrated experience developing and governing Key Risk Indicators, Quality Tolerance Limits, risk signals, and statistical monitoring models (DQA). • Strong understanding of clinical trial data, centralised monitoring methodologies, data integration, and clinical data-quality oversight. • Experience mentoring technical or analytics professionals and providing leadership across cross-functional clinical study teams. • Strong knowledge of International Council for Harmonization E6(R3), risk-based monitoring principles, and clinical trial quality management. • Proven ability to deliver process improvement, automation, innovation, and scalable analytics solutions within a regulated 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 applying artificial intelligence and machine learning to clinical risk detection and monitoring. • Advanced experience with data visualisation, analytics dashboards, and sta