Jobs / United States / Novartis Pharmaceuticals Corporation
Senior Specialist, Data Science & AI
Novartis Pharmaceuticals Corporation · 🇺🇸 Cambridge (USA)
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” (Biochemists and Biophysicists) in MA: $122k–$122k, median $122k. 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 Location: Cambridge #LI-Hybrid 3 days/week in office 138,600.00 - 198,000.00 - 257,400.00 USD Annual This role within the Applied AI, Low Molecular Weight (LMW) group of AI4R will contribute to the development, evaluation, and application of AI methods and workflows for LMW drug discovery. Working closely with multidisciplinary project teams, engineers, and other data scientists, the successful candidate will build and benchmark the right AI approaches, algorithms, models and workflows, to maximize impact on key domains areas of biomedical research that will potentially lead to developing better drugs, faster. Job Description Purpose of the role Senior Expert (Applied AI, LMW Drug Discovery): • Work within a global team of AI researchers and SME with core domain expertise in applying AI to low molecular weight drug discovery . • Contribute to the conceptualization of AI methods and their applications for hit generation, lead optimization, pre-clinical analysis, including safety and PK/PD • Develop, adapt and evaluate state-of-the-art AI/machine learning models, including foundation models, generative AI, multimodal AI, and agentic systems • Establish rigorous evaluation and benchmarking frameworks to assess the robustness and scientific validity of models deployed in drug discovery applications • Define translatable metrics that connect model performance to downstream scientific decisions, including assay-level or prioritization improvements, and experimental efficiency • Help integrate of AI approaches into design-make-test-analyze (DMTA) cycles to accelerate LMW drug discovery • Facilitate delivery of AI solutions through collaboration with Engineering and Product Development teams • Communicate progress and impact to stakeholders and multidisciplinary audiences Collaboration & partnership • A respectful team-player attitude is an absolute must • Regularly communicate, engage, align with AI4R teams, broader data science community, and senior scientists • Collaborate cross-functionally (medicinal chemists, DMPK, structural biology, and disease-area scientists, engineers and other AI experts) complementing complex projects with AI-based approaches to LMW drug discovery • Excellent interpersonal and communication skills, with ability to translate analytical concepts for diverse audience and stakeholders (English is our primary language) What you’ll bring to the role: • A deep curiosity and passion for biomedical sciences driven therapeutic discovery. • 4+ years of significant experience in innovation, development, deployment and continuous support of Machine Learning data management and modeling • Strong hands-on coding proficiency in Python and deep learning frameworks • Strong understanding and experience in using version control systems for developing software (e.g. GitHub, git, subversion, bitbucket, etc.) • Demonstrated expertise / experience in several of molecular AI/ML areas, such as generative chemistry; structure-based drug design across hit finding, hit to lead, lead optimization, and candidate selection; protein-ligand modelling, co-folding; docking, scoring, and pose assessment with rigorous model validation and tight coupling to experimental follow up; QSAR; multi-objective property optimization (uncertainty estimation, active learning concepts); free energy and affinity prediction • Demonstrated expertise / experience with AI driven molecular design applied to the areas above · Experience working in a large Research organization & deep understanding of drug development a plus • Passion for understanding emerging technologies with pragmatic insight into where those technologies can be integrated into business solutions • Ability to balance requirements, manage e