Jobs / United States / Novartis Pharmaceuticals Corporation
Clinical Study Data Lead - East Hanover
Novartis Pharmaceuticals Corporation · 🇺🇸 East Hanover
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 #LI-Hybrid This position is based out of our offices in East Hanover, New Jersey, with a Hybrid working expectation of 12 days a month onsite. Novartis cannot sponsor Visas for this location. Are you energized by the opportunity to shape clinical data strategy across complex trials and help deliver high-quality, submission-ready data that supports faster, better decisions for patients? As a Clinical Study Data Lead within Clinical Data Operations, Global Clinical Operations, you will serve as a trusted data strategy partner to Clinical Trial Teams and cross-functional stakeholders, bringing clarity, consistency, and accountability to end-to-end clinical data delivery across multiple trials. Job Description Who Will Thrive in This Role This opportunity is well suited for an experienced clinical data management professional with strong operational leadership, sound judgment under pressure, and the ability to influence cross-functional teams. The ideal candidate brings deep understanding of clinical trial methodology, Good Clinical Practice, data standards, regulatory expectations, and hands-on trial-level data delivery—typically gained through proven experience in clinical data management within a regulated R&D environment. If you are ready to bring strategic data leadership, operational discipline, and a quality-first mindset to complex clinical trials, this role offers the opportunity to make a meaningful contribution to predictable delivery, inspection readiness, and high-quality clinical data outcomes across the portfolio. What You’ll Contribute • Lead clinical data management activities across multiple assigned trials, ensuring high-quality, timely, and compliant data outputs. • Define and drive trial-level data strategies aligned with program objectives, data standards, and regulatory expectations. • Oversee end-to-end data management from data collection and database design through data cleaning, review, and database lock readiness. • Represent Clinical Data Management in Clinical Trial Team and Data Quality Team forums, influencing decisions and resolving data topics with clarity and urgency. • Identify and manage data risks, dependencies, and cross-trial issues through proactive mitigation, root cause analysis, and timely escalation where needed. • Reinforce Quality by Design, audit readiness, and consistent application of standards and processes across assigned trials. • Share insights, lessons learned, and practical guidance to strengthen decision-making and continuous improvement across the trial portfolio. What Differentiates This Role • Single point of accountability: You will own end-to-end clinical data strategy and delivery across multiple trials, creating consistency and predictability across the portfolio. • Strategic influence with hands-on impact: The role combines operational execution with data-driven decision-making in governance forums where clinical data topics are shaped and resolved. • Cross-functional leadership without direct reports: You will coordinate resources, influence stakeholders, and guide Principal Study Data Leads through expertise, partnership, and credibility. • Direct contribution from protocol development to submissions: Your work supports data specific inputs to the protocol, set up of high-quality dataflows, smooth database locks and timely Health Authority submissions, making the role critical to program delivery and patient impact. • Inspection-ready mindset: The position places strong emphasis on quality, compliance, standards, proactive risk management, and regulatory expectations. Essential Requirements • Bachelor’s degree, or equivalent, in life sciences, computer science, or a related field. Postgraduate qualification in a relevant f