Jobs / United States / Novartis Pharmaceuticals Corporation
Expert 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 roles1 certified filing for “Expert Science & Technology” (Bioengineers and Biomedical Engineers) in NC: $113k–$113k, median $113k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% 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 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 an