Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
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.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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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.
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What Novartis Pharmaceuticals Corporation paid sponsored hires in similar roles3 certified filings for “Director, AI Use Case Lead” (Computer and Information Research Scientists) in NJ: $186k–$186k, median $186k.
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✓
Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- 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. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-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 roles
- 3 certified filings for “Director, AI Use Case Lead” (Computer and Information Research Scientists) in NJ: $186k–$186k, median $186k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. The pay stated here ($57,750 to $107,250) is below what this employer usually pays sponsored hires for this role. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
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.
About the role
Job Description Summary
Are you a scientist who combines strong hands-on in vivo pharmacology expertise with independent scientific thinking? In this role, you will design and lead preclinical oncology studies to investigate drug exposure, target engagement, pharmacodynamic responses and anti-tumor efficacy. You will integrate in vivo and ex vivo data to address key scientific questions and provide actionable recommendations to multidisciplinary drug discovery teams.
Location: Cambridge, USA #LI-Onsite
This role is based in Cambridge, USA. Novartis is unable to offer relocation support for this role: please only apply if this location is accessible for you.
Job Description
Responsibilities:
• Independently design, plan and execute preclinical in vivo oncology studies to test scientific hypotheses, evaluate candidate medicines and inform project decisions.
• Perform animal procedures such as dosing, tumor implantation, monitoring and sample collection, following procedures and welfare requirements.
• Establish, characterize and critically select relevant tumor models for efficacy and pharmacokinetic/pharmacodynamic studies.
• Define study objectives and experimental strategies, including dose selection, treatment schedules, controls and pharmacodynamic sampling plans.
• Develop, optimize and troubleshoot protein-based pharmacodynamic assays, including MSD, ELISA and Western blot, to assess target engagement and pathway modulation.
• Design and interpret RNA-based gene-expression analyses alongside protein measurements to investigate pharmacodynamic and biomarker responses.
• Oversee robust tumor and normal tissue processing and optimize sample preparation and assay workflows to ensure reliable downstream analyses.
• Critically integrate efficacy, drug exposure and pharmacodynamic datasets to evaluate exposure–response relationships, identify limitations and recommend next experiments.
• Record experiments accurately and promptly in the electronic laboratory notebook.
• Communicate scientific conclusions, study limitations and data-driven recommendations to cross-functional project teams through presentations and study reports.
Essential for the role:
• Bachelor's or Master's degree in pharmacology, biology, cancer biology, molecular biology or a related scientific subject.
• Relevant industry or academic research experience demonstrating scientific independence and expertise appropriate for a Scientist role.
• Strong hands-on experience with mouse studies, including dosing, tumour implantation, animal monitoring and sample collection.
• Hands-on experience with protein-based assays such as Meso Scale Discovery assays, enzyme-linked immunosorbent assays or Western blot.
• Demonstrated ability to independently design, execute, analyze and troubleshoot in vivo pharmacology studies, beyond following established study plans.
• Strong attention to detail and organizational skills.
• Strong scientific judgement, with the ability to translate biological questions into testable hypotheses and fit-for-purpose experimental designs.
• Ability to interpret complex datasets, communicate clear scientific conclusions and collaborate effectively with Biology, DMPK/PK and other disciplines.
Desirable for the role:
• Experience with oncology models (xenograft, patient-derived xenograft or syngeneic), integrated in vivo efficacy and PK/PD studies, and RNA-based pharmacodynamic analyses.
• Strong understanding of PK/PD principles and exposure–target engagement–efficacy relationships; proficiency with GraphPad Prism or equivalent quantitative analysis tools.
Benefits & Rewards:
At Novartis, we’re committed to reimagining medicine together - and rewarding the people who make it happen.
Expected Annual Base Salary Range for rol
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