Jobs at Novartis

Manage outsourcing of preclinical safety and PK studies: translate project plans into work packages, coordinate CROs and internal teams, ensure scheduling, budgeting, forecasting, compliance, and supplier onboarding. Drive timelines, track study progress and finances, support contracts/purchase orders, and contribute to operational excellence and process improvements.

Lead and oversee outsourcing of preclinical safety and PK studies, translating project plans into work packages, selecting CROs, managing budgets/forecasts, coordinating study initiation and tracking, driving operational excellence initiatives, and interfacing with cross-functional scientific and external partners to meet milestones and ensure compliance and animal welfare standards.

Lead global science storytelling and media engagement for Novartis R&D. Translate complex science into audience-focused narratives, use data and AI tools to shape measurable communications, manage budgets, and build a high-performing global communications team.

Lead clinical data strategy across programs and trials (primarily Neuroscience), align cross-functional stakeholders, govern portfolio-level data and endpoints, drive innovation in endpoint capture and data quality to enable decision-ready clinical data.

Lead the creation and governance of decision-grade data products to support enterprise portfolio decisions. Establish data quality standards, trust indicators, and stewardship models. Identify, prioritize, and scale high-impact AI, automation, and advanced analytics use cases grounded in trusted data. Drive enterprise trust reporting, remove adoption barriers, and communicate decision risks and confidence to leadership to enable faster, more automated decision-making.

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.

Lead cross-functional teams to design and deliver scalable machine learning solutions for drug discovery. Develop core ML capabilities, advanced algorithms, and large-scale model training workflows; translate model outputs into scientific hypotheses; manage academic collaborations; define success metrics and promote adoption of advanced AI methods across research.

As a Senior Patent Attorney, you'll provide IP guidance, manage patent portfolios, file applications, and collaborate with global teams to mitigate risks and maintain compliance.

The Product Manager will lead the strategy, development, and integration of AI solutions, enhancing research processes and collaboration across teams.

Lead development and deployment of AI/ML solutions for drug discovery by translating biomedical questions into scalable models, collaborating with scientists and engineering teams, validating model performance, defining evaluation metrics, and driving adoption across biomedical research stakeholders.

Lead discovery and optimization of next-generation biologics and xDC platforms. Design and evaluate vectorization and payload strategies, run and interpret experiments, collaborate cross-functionally, engage external partners, and translate scientific opportunities into actionable research for therapeutic development.

Execute preclinical in vivo anti-tumor efficacy and PK/PD studies using CDX, PDX, and syngeneic models. Develop and run tumor models, perform dosing and sample collection, apply molecular assays (PCR, ELISA, western blot, flow cytometry), analyze data, document in electronic lab notebooks, and present results within multidisciplinary oncology drug-discovery teams.

Lead design, training, validation, and production deployment of advanced ML models (deep learning and graph-based) for drug discovery. Build scalable inference services and automated MLOps pipelines, optimize performance and cost, implement monitoring and drift detection, benchmark models against scientific objectives, collaborate with scientists, and mentor engineering teams to ensure reproducible, production-ready AI solutions.

Support implementation and continuous improvement of site HSE, facility, and contractor safety programs. Manage preventive maintenance and inspections, contractor pre-qualification and training, hazard assessments, fire protection/code compliance, FM Global coordination, incident investigations, and corrective action implementation. Partner with stakeholders to recommend and apply risk controls and HSE program improvements.

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 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 role involves providing computational and bioinformatics support for RNA therapeutics, developing data analysis pipelines, and collaborating with experimental scientists.

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.

Embed with domain teams to prototype, build, and productionize data and AI applications on Palantir Foundry. Design data pipelines, ontologies, and user-facing workflows; ensure data quality, access controls, monitoring, and reuse. Lead discovery to delivery, collaborate with product and platform teams, and mentor peers to drive adoption and durable operational solutions.

Lead the AI Systems & Scale group to design and implement advanced AI systems for drug discovery, overseeing project management and technical leadership.