Jobs at Novartis

Advise R&D on invention protection and IP strategy; build and manage patent portfolios; prepare and prosecute filings; render patentability, validity, and freedom-to-operate opinions; support due diligence, transactions, and outside counsel relationships; and deliver high-quality IP advice aligned with business goals.

Provide hands-on discovery bioanalytical support using LC-MS workflows to assess PK/TK of small molecules and novel modalities. Develop and implement quantitative methods and sample preparation (SPE, LLE, IMC), set up new LC-MS workflows, mentor junior staff, analyze and report data, collaborate with cross-functional teams and CROs, and explore automation/software to improve lab efficiency.

Lead and oversee early-phase translational clinical trials from design through final reporting. Manage global, matrixed study teams and vendors, develop protocols and execution plans, ensure quality and data integrity, conduct clinical data review, mentor junior staff, and advance digital and patient-centric trial approaches to accelerate therapy development.

Lead clinical strategy and protocol development for high-complexity global studies. Drive study design, cross-functional execution, safety/data review, budget and vendor strategy, risk mitigation, team leadership and staff development.

Apply advanced AI, ML, and computational modeling to drug discovery and early development. Build scalable data pipelines and predictive models, integrate diverse scientific datasets, ensure model validation and reproducibility, and communicate insights to multidisciplinary teams to support decision-making.

Lead development and deployment of hybrid ML and mechanistic modelling pipelines (PK/PD, QSP) to generate actionable insights across drug discovery and development. Drive reproducible workflows, integrate diverse datasets, advance AI-augmented modelling, and communicate results to influence translational decision-making.

The Director & Group Head of Applied AI will lead AI strategy in drug discovery, collaborating with teams to deploy machine learning solutions and drive innovation in biomedical research.

Conduct patent and scientific literature searches and develop advanced search strategies to produce actionable patent analytics for due diligence, litigation, and freedom-to-operate assessments. Partner with attorneys, scientists, and business teams to translate technical information into clear recommendations, maintain search records and confidentiality, and share best practices to strengthen organizational IP expertise.

Lead development and execution of integrated product strategies for an assigned therapeutic indication, align cross-functional teams, manage P&L and resource allocation, establish KPIs, drive topline results and enterprise trade-offs, and partner with GMs and functional heads to maximize product impact. On-site in East Hanover, NJ or Cambridge, MA with ~20% travel.

Lead the Oncology Data Science team in developing data-driven solutions for low molecular weight drug development, leveraging AI and machine learning. Collaborate with stakeholders to execute data science strategies and ensure adherence to best practices in analytics.

Lead enterprise applied AI strategy and a distributed team to design, deploy, and scale generative AI and agentic solutions. Drive solution architecture, integrations, MLOps/LLMOps, reusable services, governance, and cross-functional adoption while measuring business impact and modernizing systems for production use.

Design and execute early safety screening and cardiovascular profiling strategies, interface with CROs, manage outsourcing and internal stakeholder relationships, ensure data quality and compliance, present findings, and provide scientific and strategic input to de-risk compounds and support early drug discovery.

Join the Bioanalytics team to develop and execute SPR (Biacore) and other binding/functional assays, analyze data, maintain mammalian cell cultures, perform cellular binding and plate-based assays, present findings, and collaborate across interdisciplinary research teams to support biologics discovery.

Lead translational modeling for oligonucleotide therapeutics, building mechanistic PK/PD, QSP, and PBPK/PD models to inform candidate selection, study design, and clinical dose decisions. Serve as M&S program representative, develop platform models and workflows, mentor colleagues, and drive cross-functional adoption of model-informed strategies from discovery through clinical translation.

Lead and grow a disease modelling team to develop mechanistic, multiscale QSP and PK/PD-disease models. Drive modelling strategy, integrate diverse data sources, influence portfolio decisions, establish modelling platforms and best practices, and communicate insights to stakeholders across discovery and clinical development.

Lead and integrate US laboratory and business operations for Discovery Sciences: oversee budgeting and financial stewardship, lab infrastructure and facilities projects, vendor management, process governance, people leadership, operational transformation, and cross-domain partnership to enable scientific delivery and compliance.

Provide scientific and operational leadership for imaging strategies (PET/SPECT) across oncology, neuroscience, and cardio/renal/metabolic programs. Design and implement imaging biomarkers, partner with clinical teams and CROs, evaluate novel imaging and AI-enabled analytics, and ensure quality multisite trial execution to inform drug development decisions.

Lead design and execution of preclinical and translational biomarker strategies for DAx programs. Serve as biomarker representative on project teams, define hypotheses and evidence requirements, develop integrated assay and analysis plans, generate translational evidence, and coordinate cross-functional and external partnerships to support target validation through early clinical readiness.

Provide IP strategy and prosecution for life‑science inventions: draft, file, prosecute global patent applications; advise on patentability, freedom‑to‑operate, publication strategy; lead due diligence, licensing, and collaborate with global colleagues and external counsel to build and manage patent portfolios.

Lead and execute business operations for Discovery Sciences, managing financial planning, vendor and technology procurement, data and knowledge management, reporting, and cross-functional projects. Resolve operational issues, design processes and reports, and coordinate with global support functions to enable research decision-making and lab technology delivery.