Jobs / United States / Novartis Pharmaceuticals Corporation
Expert Clinical Data Scientist
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 The Expert Clinical Data Scientist is responsible and accountable for using advanced data management tools and techniques with respect to cost, quality and timelines for all assigned trials managed within Clinical Data Acquisition and Management. The position is a key collaborator and strategic partner with stakeholders ensuring that data management activities for the clinical trials are executed efficiently with timely and high-quality deliverables (in alignment with the Novartis Clinical Data Quality Statement). Provide active and effective communication to Clinical Trial Teams and other stakeholder groups. Job Description Major accountabilities: • Provides DM leadership across assigned trial (s) and Acts as the Trial Data Manager where needed -Demonstrates a business understanding of the compound (s) profile to identify and assist in successful application of data Mgmt processes. • Provides feedback to assure well written protocols and amendments. • Recognize and resolve protocol issues that may impact database design, data validation and /or analysis/reporting and that do not make the best use of available standards -Performs DM activities for start up of a study, Data Handling plan , Data Review Plan and performing user acceptance testing (UAT) -Manage local lab set up for the Clinical Database as applicable -Leads process and training deliverables within platform or processes. • Accountable for all aspects of the Process and Training within remit to ensure full compliance to all applicable global regulatory requirements is maintained and business objectives are achieved. • Accountable for all quality related aspects -Centralizes and aligns DO for audits and inspections. • Manages and measures Quality -Coordinates exception requests, deviations and corrective /preventative action plans -Performs DM hands on activities during the course of the study Performs ongoing review of all data generated from the clinical study including Third party and local lab data as well as SAE reconciliation where applicable -Responsible and accountable to ensure consistency of assigned trials with program level standards across DM documentation -Has proven abiity to use the tools available to generate listings for data review and where necessary provides these to the study teams. • Generates the study status reports for use at Clinical trial team meetings. • Supports and assists Junior staff for assigned trials -Provides effective input into DM initiatives and innovations for quality, efficiency and continuous improvement in scientific and operational excellence -Leads /Coordinates synonym review activities and dictionary version upgrade activities at trial /Program level. • Serves as primary study lead ensuring timely and quality deliverables by establishing and maintaining strong working relationships with study teams, and functional lines. • Acts as a technical consultant as required. Minimum Requirements • Ability to work under pressure demonstrating agility through effective and innovative team leadership • Excellent interpersonal skills and proven ability to operate effectively in a global environment. Ability to influence and communicate across functions and to external stakeholder • Proven ability to interrogate and view data though various programming/GUI techniques • Excellent problem-solving skills • Ideally 4 years’ experience in Drug Development with at least 3 years in Clinical Data Management • Excellent verbal and written skills Skills Desired Clinical Data Management, Data Governance, Data Integrity, Data Management, Data Quality, Data Science, Waterfall Model