Jobs at Novartis

Build and productionize data and AI applications on Palantir Foundry for biomedical domain teams. Responsibilities include designing data pipelines, transformations, ontology models, workflow applications, integrations, access controls, data quality checks, and production monitoring. The role leads discovery and iterative delivery, partners with product, data, governance, and platform teams, supports user adoption, and creates reusable delivery patterns. Candidates need strong programming, data and application engineering, stakeholder management, and biomedical domain experience.

Provides strategic intellectual property counsel to R&D teams, develops and manages life sciences patent portfolios, prosecutes and defends patent filings, evaluates patentability, validity, infringement, and freedom to operate, and supports transactions including M&A, collaborations, and licensing. The role requires extensive expertise in U.S., PCT, European, and global patent law, advanced therapeutic technologies, and partnership with scientific, legal, and business stakeholders.

Leads strategic AI and digital transformation initiatives for Novartis executives, translating priorities into scalable cross-functional solutions and technology products. Generates insights and recommendations, serves as an AI subject matter expert, builds networks of technical leaders, and manages multidisciplinary teams. The role requires executive communication, strategic project and program management, consulting experience, and travel as business needs require.

Develop tissue-based biomarker assays, including immunohistochemistry, immunofluorescence, and histology, for oncology clinical trials and exploratory research. Support assay transfer to contract research organizations, work across therapeutic modalities and disease indications, and contribute to image analysis and technical development. Requires a relevant master’s degree and at least two years of related experience.

Serve as a trusted HR advisor to leaders, managers, and employees across the full employee lifecycle. Implement people initiatives, use workforce analytics, support employee relations and organizational transformations, ensure EEO and regulatory compliance, and coach managers on HR policies and practices. Partner with global and local P&O stakeholders to improve employee experiences, build leadership capability, and advance technology-enabled HR processes.

Develop and evaluate AI and machine learning methods for low-molecular-weight drug discovery. Build generative, multimodal, foundation, and agentic models; establish rigorous benchmarking; connect model performance to experimental decisions; and integrate AI into design-make-test-analyze workflows. Collaborate with medicinal chemistry, DMPK, biology, engineering, and data science teams while communicating results to multidisciplinary stakeholders.

Leads translational profiling and advanced imaging research for drug discovery. Develops imaging, spatial biology, proteomics, and integrated assay workflows; interprets complex biological datasets; investigates disease mechanisms, therapeutic mechanisms, target biology, tissue targeting, pharmacology, and biomarkers. Leads matrixed scientific teams, manages external collaborations, shapes platform strategy, mentors scientists, and communicates findings to research stakeholders.

Leads a Northeast field team responsible for patient access and reimbursement support for Novartis therapies. The role oversees hiring, coaching, regional strategy execution, customer and patient access issue resolution, cross-functional collaboration, compliance, and operational excellence. It requires deep knowledge of reimbursement, specialty pharmacy, buy-and-bill, billing, coding, claims management, and healthcare account partnerships. The position is field-based, requires residence within the region, a valid driver’s license, and 60–80% travel.

Provides strategic medical and scientific leadership for early oncology development programs, guiding experimental agents from target identification through later-stage development. Leads clinical strategy, reviews protocols and regulatory submissions, supports business development and external collaborations, engages investigators and health authorities, ensures compliant clinical trial execution, and mentors colleagues. Requires hematology-oncology expertise, pharmaceutical or biotechnology clinical program leadership, translational research experience, and an MD.

Leads strategic medical and scientific development of experimental oncology agents from preclinical development through transition decisions. Develops clinical strategies, leads global early-program teams, interprets preclinical and clinical data, supports protocols and trial documentation, ensures ethical and regulatory compliance, liaises with experts and authorities, and contributes to scientific publications and team mentorship.

Provides strategic legal counsel for pharmaceutical R&D across the Americas, covering clinical operations, FDA regulations, GxP compliance, research governance, data use, AI-enabled research, and clinical development. Advises on acquisitions, cross-border data exchange, collaborations, quality systems, emerging legal risks, and responsible AI adoption. Requires a U.S. law license, 8+ years of post-bar life sciences legal experience, and substantial FDA, clinical development, and pharmaceutical R&D expertise.

Leads strategic account initiatives for Novartis’s neuroscience multiple sclerosis portfolio across priority New England health systems. Responsibilities include formulary advocacy, account planning, KOL engagement, identifying evidence gaps, improving care pathways, understanding reimbursement and access models, and coordinating cross-functional teams. The role requires extensive customer engagement, complex account management, frequent regional travel, and translating market insights into tailored strategies that improve product access and business outcomes.

Apply advanced AI/ML and generative foundation models to multi-modal preclinical, clinical, and real-world datasets to identify drug targets and biomarkers. Develop, validate, and deploy ML solutions, collaborate cross-functionally to ensure ML-ready data, and contribute to scientific publications and presentations.

Hands-on lab role to develop, optimize, and characterize lentiviral vector purification and analytical workflows (clarification, chromatography, TFF). Execute molecular and cell-based assays, write protocols/SOPs, design experiments, analyze and document data, troubleshoot processes, and collaborate across teams to support CAR-T and cell/gene therapy research.

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.

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.

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 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 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.