pSalary Range: /ppCHF102,200.00 - 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. /ph3Job Description /h3pInternal job title: Senior Expert I/II, Data Science /ppPosition Location : Basel, Switzerland (Hybrid) /pbThis 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. /bpJob description Summary: The 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. /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. /liliWe 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. /pulliExpected Annual Base Salary Range for role: CHF 102.200- CHF 189.800 /liliThe 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. /liliThe 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. /liliIn 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. /liliRead our brochure to learn more about our global total rewards offering: /liliNote: Benefits and compensation may vary by country and are /li /ul #J-18808-Ljbffr
Scientific AI Platform Lead, Data Science, Disease Area X Arbeitgeber: Novartis
Novartis in Schaftenau, Österreich, ist ein hervorragender Arbeitgeber, der eine dynamische und unterstützende Arbeitsumgebung bietet. Mit einem starken Fokus auf Mitarbeiterentwicklung und kontinuierlichem Lernen fördert das Unternehmen eine Kultur der Zusammenarbeit und Innovation. Die Möglichkeit, an globalen Projekten zu arbeiten und einen bedeutenden Einfluss auf die Gesundheitsversorgung zu haben, macht Novartis zu einem attraktiven Arbeitsplatz für Fachkräfte im Bereich Regulatory Affairs.
