Scientific AI Platform Lead, Data Science, Disease Area X

pSalary Range: CHF102,200.00 - CHF189,800.00 /ph3Job description Summary /h3pThe Scientific AI Platform Lead will join the Disease Area X (DAx) Data Science team at Novartis to build enterprise-grade, AI analysis platforms and data products to accelerate drug discovery. This role will lead and partner on multidisciplinary project teams, operationalize generative and agentic AI solutions, shape DAx AI data strategy, and collaborate with enterprise IT teams. This role reports to the Head of Data Science, DAx. /ppInternal job title: Senior Expert I/II, Data Science /ppPosition Location: Basel, Switzerland (Hybrid) /ppThis role is based in Basel, Switzerland. Novartis is unable to offer relocation support for this role: please only apply if this location is accessible for you. /ph3Responsibilities /h3ulliTranslate scientific and operational AI needs into impactful, decision-enabling solutions. /liliHands-on design, build, and sustain scalable AI-focused omics pipelines, APIs, and integrated data products. /liliScale AI workflows using reproducible, transparent, secure, and FAIR data practices. /liliPrioritize resources against evolving research needs. /liliEstablish rigorous project evaluation, deployment, lifecycle, and governance practices. /liliMentor, train and coach wet lab scientists, data scientists, engineers, and cross-functional teams. /liliProvide oversight and onboarding of external vendors and service providers. /liliEffectively communicate strategy, implementation details and results through internal and external presentations, posters, publications, and technical documentation. /li /ulh3Requirements /h3ulliPhD in AI/ML, data science/engineering, computational biology, bioinformatics, computer science/engineering, mathematics, physics, or a related discipline with equivalent practical experience. We will also consider qualified MS degree applicants with 5+ years of relevant post-graduate experience. /lili3+ years of hands-on experience in scientific data science or engineering, AI/ML, computational research within biopharma and/or technology industry. /liliExperience building and operating production-grade multimodal data platforms for scientific analysis: omics data, data modeling, patient metadata, lineage, access controls, and reproducible workflows. /liliExperience with omics analysis pipelines (i.e. genomics, transcriptomics), MCP, LLM patterns, biological foundational models, agent orchestration, and deep learning frameworks (i.e. Pytorch) is preferred. /liliFamiliarity with current agentic frameworks such Claude Science, Biomni, Gemini or other open-source co-scientist platforms. /liliDemonstrated record of scientific or technical impact through publications, conference proceedings, open-source contributions, patents, or deployed data products. /liliDeep practical experience in software or data engineering (i.e. agile), including Python, SQL, version control, testing, workflow orchestration, cloud platforms, and data lakes (i.e. Snowflake, Databricks, Palantir Foundry, AWS). /liliExperience leading and supporting cross-functionally across diverse science or engineering teams, influencing key stakeholders across a matrix organization. /liliStrong communication, interpersonal, ethical, self-awareness, and customer service skills. /li /ulh3Benefits Rewards /h3pAt Novartis, we’re committed to reimagining medicine together - and rewarding the people who make it happen. Expected Annual Base Salary Range for role: CHF 102.200- CHF 189.800 The base salary offered is determined based on gender-neutral objectives, such as relevant skills, competencies and experience in accordance with the Novartis pay setting policy and upon joining Novartis will be reviewed periodically. The rewards of being part of our team go far beyond base pay and incentives. We also offer a variety of competitive benefits in kind to help you thrive personally and professionally, such as insurance plans, retirement plans, wellbeing resources and global recognition programs. In addition, we provide flexible and hybrid working options, where possible, and minimum 14 weeks paid parental leave. In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters. Long-term equity awards granted at group level may also be part of your package. Further details will be provided during the application process. /ppRead our brochure to learn more about our global total rewards offering: Note: Benefits and compensation may vary by country and are subject to local legal requirements, including provisions of collective bargaining agreements where applicable. A full overview of your compensation package, including any relevant collective bargaining agreement details applicable to your role based on your employment location and Novartis employer entity, will be communicated separately to you during the application process. /ph3Commitment to Diversity and Inclusion /h3pNovartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve. /ph3Accessibility and Accommodation /h3pNovartis is committed to working with and providing reasonable accommodation to all individuals. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to receive more detailed information about the essential functions of a position, please send an e‑mail to and let us know the nature of your request and your contact information. Please include the job requisition number in your message. /ph3Skills Desired /h3ulliArtificial Intelligence (AI) /liliBiostatistics /liliChange Management /liliCurious Mindset /liliData Governance /liliData Literacy /liliData Quality /liliData Science /liliData Visualization /liliDeep Learning /liliGraph Algorithms /liliLearning Agility /liliMachine Learning (ML) /liliMachine Learning Algorithms /liliPython (Programming Language) /liliStakeholder Engagement /liliStatistical Analysis /liliTime Series Analysis /li /ulpIn the context of China Cross-Border Data Transfer (CBDT) policy, if you need to apply for a position in China, please go to the local Recruiting System TaleNov . /p #J-18808-Ljbffr