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Director, AI Foundations Engineer- Remote

Job Description SummaryThis position can be based remotely anywhere in the U.S. Please note that this role would not provide relocation as a result. The expectation of working hours and travel (domestic and/or international) will be defined by the Hiring Manager. Job DescriptionThe Strategy, Platforms & Transformation team is dedicated to enabling improved decision-making at Novartis by leveraging data and advanced analytics capabilities to generate actionable insights that drive business growth. We work within the US business, bringing insights and challenging ideas to empower smarter, data-driven decision-making. This role is crucial in driving AI transformation by bringing the best in AI and tech to unlock opportunities for growth and improve patient outcomes.The Director, AI Foundations Engineer will drive the engineering strategy, delivery, and operational excellence for the organization’s agentic AI operating system, with responsibility spanning solution architecture, development, operations, and continuous improvement. This role will be central to enabling the transformation of existing processes, products, and services into agentic AI products and intelligent workflows by providing a scalable, secure, and high performing foundation. The ideal candidate will bring deep engineering leadership, systems thinking, and technical vision to guide the design and evolution of core agentic capabilities, establish engineering standards and operating models, and lead cross functional teams in delivering resilient and extensible AI services. Working closely with product leaders, business stakeholders, data and technology teams, and transformation leaders, this role will ensure the agentic systems accelerate innovation, support enterprise adoption, and delivers measurable business value through reliable and scalable execution.Major Accountabilities Lead the design and development and ongoing improvement of the organization's AI foundations that will enable use cases through a disciplined engineering approachDefine and implement an agentic AI foundational system, engineering standards, and development practices that promote scalability, reliability, repeatability, and continuous improvementPartner with product, data, infrastructure, security, and business teams to align platform capabilities with enterprise needs and strategic priorities.Oversee engineering teams in building reusable platform services, tools, and components that enable agentic AI products and workflows.Drive modernization and integration efforts to connect existing systems and processes with AI capabilities.Monitor agentic operations and user feedback to identify improvements, resolve issues, and support continuous optimization.Establish effective operating models, support processes, and governance practices to ensure consistent delivery of AI capabilitiesCommunicate platform priorities, delivery progress, technical risks, and investment needs to senior leaders and cross functional stakeholders.Essential Requirements:Bachelor degree required and advanced degree preferred, ideally in business, engineering, computer science, data science, or a related field.8 plus years of AI engineering experience, with a strong track record of leading product strategy, roadmap development, and delivery for complex digital, data, or AI enabled products.Demonstrated experience in AI and data driven product environments, including translating business needs into scalable product solutions and partnering closely with technical teams to bring innovative products to market.Strong cross functional leadership skills, with proven ability to collaborate effectively across Engineering, Innovation, Design, Data Science, Commercial, and other business teams to drive alignment and execution.Experience managing and developing product managers or junior product leaders, including coaching, prioritization support, and fostering strong product management practices.Excellent strategic, analytical, and communication skills, with the ability to evaluate opportunities, make informed tradeoffs, and clearly communicate product vision, priorities, and outcomes to stakeholders.The salary for this position is expected to range between $194,600.00 and $361,400.00 annual per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. EEO Statement:The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodationsThe Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Salary Range$194,600.00 - $361,400.00 Skills DesiredAgile (Programming Methodology) (Inactive), Artificial Intelligence (AI), Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Strategies, Data Visualization, Deep Learning, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Mentorship, Nlp (Neuro-Linguistic Programming) And Genai (Inactive), Organization Awareness (Inactive), Stakeholder Engagement, Statistical Analysis, Time Series Analysis, Vision (Inactive)

Remote

Scientific AI Platform Lead, Data Science, Disease Area X

Salary Range:CHF102,200.00 - CHF189,800.00 Job Description SummaryThe 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. Job DescriptionInternal job title: Senior Expert I/II, Data Science Position Location: Basel, Switzerland (Hybrid)** This 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. Job 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. Responsibilities:Translate scientific and operational AI needs into impactful, decision-enabling solutions.Hands-on design, build, and sustain scalable AI-focused omics pipelines, APIs, and integrated data products.Scale AI workflows using reproducible, transparent, secure, and FAIR data practices.Prioritize resources against evolving research needs.Establish rigorous project evaluation, deployment, lifecycle, and governance practices.Mentor, train and coach wet lab scientists, data scientists, engineers, and cross-functional teams.Provide oversight and onboarding of external vendors and service providers.Effectively communicate strategy, implementation details and results through internal and external presentations, posters, publications, and technical documentation. Requirements: PhD 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.3+ years of hands-on experience in scientific data science or engineering, AI/ML, computational research within biopharma and/or technology industryExperience building and operating production-grade multimodal data platforms for scientific analysis: omics data, data modeling, patient metadata, lineage, access controls, and reproducible workflows.Experience 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.Familiarity with current agentic frameworks such Claude Science, Biomni, Gemini or other open-source co-scientist platforms.Demonstrated record of scientific or technical impact through publications, conference proceedings, open-source contributions, patents, or deployed data products.Deep 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).Experience leading and supporting cross-functionally across diverse science or engineering teams, influencing key stakeholders across a matrix organization.Strong communication, interpersonal, ethical, self-awareness, and customer service skills. Benefits & Rewards: At 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. Read our brochure to learn more about our global total rewards offering: https://www.novartis.com/sites/novartis_com/files/novartis-life-handbook.pdf 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. Commitment to Diversity and Inclusion:Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.Accessibility and Accommodation: Novartis 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 diversity.inclusion_ch@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Skills DesiredArtificial Intelligence (AI), Biostatistics, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Stakeholder Engagement, Statistical Analysis, Time Series Analysis

Basel

WORKFORCE STRATEGY HEAD, ENTERPRISE DATA SCIENCE & ARTIFICIAL INTELLIGENCE (DSAI)

Salary Range:164 500,00 CHF - 305 500,00 CHF Job Description SummaryYou will lead the enterprise people and organization agenda for Data Science and Artificial Intelligence (DSAI) across Novartis, translating our DSAI ambition into the workforce, organization, talent and capability choices needed to deliver it. Operating at the decision-making table with senior DSAI leaders and partnering across the enterprise, you will shape how we build, attract and grow critical DSAI talent, strengthen our external value proposition, and enable responsible human-AI collaboration. You will lead the enterprise DSAI OTR, including discussion at ECN level, and create the standards, governance and frameworks needed in areas such as careers, capabilities, talent and rewards, particularly where established approaches do not yet exist.This enterprise role complements rather than replaces the Workforce Strategy Leads directly supporting DSAI teams within their units. Unit-level accountabilities remain unchanged, while this role connects across them, providing the overarching DSAI people strategy, standards and governance and enabling enterprise-level choices where these are needed. Job Description#Hybrid This role can be based in Cambridge, East Hanover, London or Basel, please apply only once to the appropriate location.Key ResponsibilitiesSet the enterprise DSAI people and organization strategy.Translate the DSAI ambition into an integrated, future-ready agenda across workforce, organization, leadership, culture, talent and capability. Success is evident when: enterprise priorities and accountabilities are clear, adopted across units, and translated into measurable outcomes.Shape strategic workforce and capability choices. Use scenarios, analytics, external insight and data storytelling to anticipate demand for scarce DSAI capabilities and recommend choices on organization design, skills, capacity, location, sourcing and workforce mix. Success is evident when: critical gaps are addressed before they constrain innovation or execution.Lead the enterprise DSAI OTR. Orchestrate the enterprise talent review, integrate perspectives across units, and present implications, choices and recommendations to ECN. Success is evident when: pivotal talent, succession, capability risks and enterprise actions are visible and actively managed.Establish enterprise talent and career approaches. Create differentiated career development, mobility, succession and talent-allocation mechanisms suited to DSAI roles and communities. Success is evident when: Novartis can attract, develop, deploy and retain pivotal DSAI talent across organizational boundaries.Build the external DSAI talent brand and pipeline. Strengthen Novartis’ visibility as an employer of choice through targeted engagement with universities, specialist talent networks and external forums. Build early-talent pathways that attract dual technical/scientific and DSAI expertise and develop judgement, experience and leadership capability. Success is evident when: Novartis has stronger external visibility and a sustainable pipeline of scarce DSAI talent.Design and create enterprise DSAI standards. Build new governance, rewards approaches, career architecture, capability frameworks, talent programs and operating approaches for a field evolving faster than established internal practices. Success is evident when: scalable standards replace fragmented local approaches and remain relevant as DSAI evolves.Connect enterprise strategy and unit execution. Define decision rights, interfaces and governance so the enterprise mandate is distinct from, and complementary to, unchanged unit-level P&O accountabilities. Success is evident when: there is no duplication or accountability gap between enterprise and unit roles.Influence a complex enterprise stakeholder system. Partner with at least nine ECN-1 leaders across R&D, Commercial, Operations and Global Functions, the Head of GDC, unit P&O Business Partners and Expertise Hubs to resolve enterprise trade-offs without relying on formal authority. Success is evident when: leaders move beyond unit optimization and commit to enterprise decisions.Redesign work for human-AI collaboration. Guide organization, role and workflow choices that enable responsible collaboration among people, automation and AI agents while sustaining accountability and a human-cantered employee experience. Success is evident when: adoption improves productivity, innovation and decision quality.Coach senior leaders, shape culture and lead transformation. Challenge and coach leaders through ambiguity, build commitment to new enterprise approaches, anticipate resistance and track adoption and benefits. Success is evident when: leadership behaviour, culture and ways of working support the DSAI strategy. What you’ll bring to the roleEssential CriteriaExtensive experience of progressive P&O/HR experience, including strategic partnership with executive and ECN-1 leaders in a complex global matrix.Strong organization design, strategic workforce planning and transformation experience, including scenario development and enterprise trade-off recommendations.Demonstrated experience creating global or enterprise-wide people strategies, standards, governance or programs, not only implementing established solutions.Evidence of leading enterprise talent reviews, succession and capability discussions with senior executive forums.Demonstrated ability to influence multiple senior stakeholders across business units, functions, countries and P&O disciplines without formal authority.Fluency in people analytics and confidence with AI-enabled tools, responsible AI principles and emerging work technologies.Desirable CriteriaExperience translating emerging technology, data science or digital strategy into workforce, organization and talent implications; direct DSAI sector experience is highly desirable.Relevant university degree or equivalent experience required; advanced qualification in business, organization, analytics, technology or a related discipline.Benefits & RewardsAt Novartis, we’re committed to reimagining medicine together - and rewarding the people who make it happen. Expected Annual Base Salary Range for role: 164,500.00 - 305,500.00 CHF Annual 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. In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters. 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. Pay equity is a fundamental principle of our employment policy and reflects our commitment to create a diverse, equitable and inclusive environment that treats all employees with dignity and respect, as outlined in our Code of Ethics. Read our brochure to learn more about our global total rewards offering: https://www.novartis.com/sites/novartis_com/files/novartis-life-handbook.pdf 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. Commitment to Diversity and Inclusion Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.Accessibility and Accommodation:Novartis 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 diversity.inclusion_ch@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Skills DesiredBusiness Acumen, Coaching, Data Analytics, Data-Driven Decision Making, Development Leadership, HR Strategy, Change Management, Leadership, Organizational Design, Performance Management (PM), Stakeholder Management, Strategic Planning, Strategic Workforce Planning, Talent Management

Basel

Biocatalysis and Protein Engineering - Industrial Post Doctoral Researcher in Global Discovery Chemistry (Novartis Genesis Labs)

Salary Range:CHF0.00 - CHF0.00 Job Description Summary18. That's the number of months you will spend embedded in Global Discovery Chemistry (GDC) as an Industrial Postdoc, working at the heart of Novartis's most ambitious internal innovation initiative — the Genesis program. We are looking for a highly motivated, bold-thinking postgraduate scientist with expertise in biocatalysis, protein engineering, synthetic biology or a closely related field, ready to develop transformative technology platforms that reshape how medicines are discovered and made.This is not a conventional postdoc. Genesis is Novartis's flagship internal innovation program — structured as an internal startup within one of the world's leading pharmaceutical companies. Think of it as the intellectual challenge and pace of an early-stage biotech, backed by the resources, scientific depth, and pipeline of Novartis Biomedical Research. We will encourage you to move fast, think big, and work on problems that matter — with the support of a world-class interdisciplinary team around you.This role is a unique opportunity to work at the cutting edge of applied biocatalysis and protein engineering, at the interface between research and development, with direct impact on the Novartis portfolio. You will not only transfer your scientific knowledge into practice — you will develop your leadership skills, build a powerful internal and external network, and lay the foundation for an exceptional career in the pharmaceutical industry or academia. Job DescriptionYour ResponsibilitiesYour responsibilities include, but are not limited to:Design and develop innovative technology platforms in biocatalysis and protein engineering as part of the Genesis flagship program, advancing Novartis's discovery capabilities at speed.Conduct enzyme discovery and engineering campaigns — leveraging latest computational tools and high-throughput automated screening — to identify and optimise novel biocatalysts for pharmaceutical synthesis applications.Develop novel biocatalytic synthetic solutions that enable efficient, scalable, and sustainable preparation of drug candidates across novel modalities, from early discovery through to clinical and commercial supply.Get exposure to peptide chemistry and display technologies to expand the scope and diversity of biocatalytic solutions available to the Novartis portfolio.Apply cutting-edge automation platforms and advanced automation for high-throughput enzyme screening, data-rich experimentation, and rapid iteration across engineering campaigns.Contribute to defining scientific strategy on Genesis program projects — identifying bold opportunities, designing novel experimental approaches, and helping shape the direction of the platform.Collaborate with world-class experts in Molecular Biology, Biochemistry, Bioinformatics, Process Chemistry, Chemical Engineering, and Analytical Chemistry across Novartis and with external academic and industry partners.Communicate your science — present findings internally, contribute to patents, and make complex science accessible to diverse audiences.What You'll Bring to the RoleA completed PhD at the interface of Chemistry and Biology with a focus on biocatalysis, synthetic biology, enzyme engineering, or a closely related discipline.Hands on experience in development of peptide-, or protein-modifying enzymatic transformations is preferred.Strong track record of original research and the ability to develop innovative (bio)catalytic transformations.Scientific curiosity and team spirit to effectively work at the interface of multiple scientific disciplines in a fast-paced, multicultural environment.Effective interpersonal and communication skills are essential.Effective knowledge of English, both oral and written, is required.Experience with state-of-the-art high throughput, computation or display technologies as well as previous post-doctoral experience is a further advantage but not a requirement.Why Consider Novartis?750 million. That's how many lives our products touch. And while we're proud of that, in this world of digital and technological transformation, we must also ask ourselves: how can we continue to improve and extend even more people's lives?We believe the answers are found when curious, courageous, and collaborative people like you are empowered to ask new questions, make bolder decisions, and take smarter risks.At Novartis Biomedical Research, you will have access to state-of-the-art infrastructure — advanced automation, high-throughput screening, computational design platforms, and structural biology capabilities. You will be mentored by world-class scientists and embedded in a scientific community that spans academic leaders, industry partners, and the Novartis global network. You will publish, present, and file patents. And through the Genesis program, you will experience something that is genuinely rare in large-company R&D: the energy, pace, and creative latitude of a startup, combined with the resources and pipeline of a top-five global pharmaceutical company. Skills Desired

Basel

Robotics Expert ITOT

Salary Range:CHF88,200.00 - CHF163,800.00 Job Description SummaryLocation: Muttenz, Switzerland #LI-Hybrid 3 days/week in officeInternal job title: DDIT OPS Robotics Expert ITOT The Site Robotics Expert will lead the robotics transformation of the manufacturing site in Muttenz, Switzerland, driving the development, implementation, scaling, and lifecycle management of robotics solutions across manufacturing, laboratories, warehousing, and material handling. The role bridges emerging robotics technologies with site needs — moving solutions from market scan to shop floor — by combining deep technical expertise with close proximity to the vendor and innovation ecosystem. As the site's robotics expert, the individual will collaborate with local and global stakeholders, engineering, operations, quality, IT/OT teams, and technology partners to build a sustainable robotics ecosystem. Job DescriptionKey Responsibilities:Own the site robotics technology strategy and keep it continuously refreshed against market, vendor, and emerging-technology developments.Evaluate shared Work Centre standards and strategy, harmonising requirements across platforms and aligning global ways of working to ensure common requirements are defined, captured, and embedded consistentlyOwn the User Requirement Specifications (URSs) and the technology & robotics roadmap for shared Work Centers, aligning common versus platform-specific requirements.Translate scouted technology into standardized, site-ready deployment packages — delivering implementable solutions, not just recommendations.Own and maintain the Robotics Catalogue for shared Work Centers, keeping availability, readiness, ownership, and technical details currentLead technology and market scouting, with dedicated focus on advanced capability areas such as computer vision, automated inspection, and physical AI, closing current resourcing gaps in these domains.Evaluate vendor capability and performance, and partner with Procurement on the selection and management of standard, approved vendors.Maintain continuous alignment with sites ensuring evaluated technologies are actually piloted and adopted — and that site feedback shapes the next roadmap cycle.Report progress on a regular cadence to the Robotics Steering Committee and support sites roadmap endorsement and monthly technical syncs.Ensure compliance with GMP regulations and security protocols.Coordinate with vendors and partners for support and procurement. Essential Requirements:Bachelor's degree in Robotics, Automation Engineering, Mechanical Engineering, Electrical Engineering, Mechatronics, or a related technical discipline.Minimum 5+ years of demonstrated experience in robotics, with hands-on implementation and deployment of industrial robotics solutions.Experience leading robotics or automation projects from concept through implementation and operational support, with strong understanding of robotics hardware, integration, and automation architectures.Proven track record of evaluating, selecting, and deploying robotics or automation technologies from concept to shop floorExperience defining technical standards, User Requirement Specifications (URSs), and vendor evaluation criteriaExcellent stakeholder management and influencing skills, with experience engaging both global and local business partners.Fluent English language skills (spoken and written).Strong understanding of industrial operations, safety, maintenance, and continuous improvement practices;Exposure to AI-enabled robotics.Knowledge of GMP requirements, data integrity (ALCOA+), and validation principles in regulated manufacturing Desirable Requirements: Expertise in robotics technologies such as AMRs, AGVs, automated material handling systems, robotics automation, and vision-guided systemsExposure to GMP/pharmaceutical environments is preferred.German fluency would be preferred.Benefits & Rewards At Novartis, we’re committed to reimagining medicine together - and rewarding the people who make it happen. Expected Annual Base Salary Range for role: : CHF 88,200 to CHF 163,800. 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. In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters. 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. Read our brochure to learn more about our global total rewards offering: https://www.novartis.com/sites/novartis_com/files/novartis-life-handbook.pdf 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. Commitment to Diversity & Inclusion:We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve. Why Novartis?Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-cultureJoin our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/networkAccessibility and accommodation:Novartis 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. Skills DesiredBusiness Continuity, Cost Management, Decision Making, Operational Excellence, Problem Solving, Project Management, Quality Compliance, Risk Management, Stakeholder Management, Vendor Management

Muttenz

Forward Deployed Engineer (FDE) Data42 (Palantir Foundry)

Salary Range:CHF129,500.00 - CHF240,500.00 Job Description SummaryLocation: Basel, Switzerland #LI-Hybrid 3 days/week in officeInternal job title: Forward Deployed Engineer (FDE) Data42About the Role:The Forward Deployed Engineer (FDE) at Data42 is an embedded technical delivery leader who partners directly with domain teams to turn high-value problems into working data and AI applications. You will rapidly prototype, iterate, and productionize solutions on Palantir Foundry, bridging users, product, and platform engineering to deliver measurable outcomes. This role blends software engineering, data engineering, and product-oriented problem solving, with a strong emphasis on user workflow adoption and operational durability. Job DescriptionKey Responsibilities: Embedded delivery and problem solving: Embed with domain teams to understand workflows, define success criteria, and translate needs into shipped capabilities; Lead discovery, solution framing, and iterative delivery from prototype to production.Build on Palantir Foundry: Design and implement end-to-end solutions in Foundry, including data pipelines, transformations, ontology alignment, and application workflows; Configure and optimize Foundry-based applications to support operational decision-making and repeatable analytics; Apply Foundry-native patterns for permissions, auditability, performance, and release management.Data engineering and modeling: Ingest, transform, and model diverse datasets to make them usable and trustworthy for analytics and applications; Define data quality checks and ensure datasets are fit for intended use (document assumptions and limitations).Application development and integration: Build user-facing applications or workflow experiences and integrate with upstream and downstream systems as needed; Support deployment, monitoring, and ongoing improvement of production applications.Cross-functional leadership: Partner closely with product managers, data scientists, data engineers, governance, and platform teams to align scope, timelines, and standards; Communicate trade-offs clearly and unblock delivery through technical and stakeholder influence.Enablement and reuse: Create reusable templates, components, and patterns to accelerate future deliveries across Data42; Mentor teammates and contribute to internal documentation, playbooks, and delivery standards.Essential Requirements:Bachelors degree in Biology, Bioengineering, Bioinformatics, Biostatistics or related discipline.8+ years of experience working in biomedical research, bioengineering, bioinformatics or related domain.Hands-on experience with Palantir Foundry is essential, building and operationalizing solutions (pipelines, ontology, applications, and access controls), with a Foundry-first engineering and delivery mindset.Solid experience in partnering with stakeholders to understand challenges and define effective solutions, developing and delivering Proof of Concepts to validate ideas and demonstrate business value.Demonstrated experience delivering software, data, or analytics products in a fast-paced, user-facing environment, with expertise in rapid prototyping to production execution.Strong programming skills and comfort working across data and application layers.Strong user empathy and workflow orientation, with proven ability to work directly with end users, clarify ambiguous requirements, and deliver iteratively.Excellent communication skills and stakeholder management skills, with strong reliability and operational discipline.Desirable requirements:Experience delivering solutions in regulated or sensitive-data environments, with strong attention to access control and audit needs.Familiarity with product discovery methods (problem framing, value definition, iterative MVP delivery).Experience with analytics, AI, or machine learning enablement within production applications.Commitment to Diversity & Inclusion:We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.Benefits & Rewards At Novartis, we’re committed to reimagining medicine together - and rewarding the people who make it happen. Expected Annual Base Salary Range for role: CHF 129,500 to CHF 240,500 .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. In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters. 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. Why Novartis?Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-cultureJoin our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network Skills DesiredArtificial Intelligence (AI), Biostatistics, Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Nlp (Neuro-Linguistic Programming) And Genai (Inactive), Organization Awareness (Inactive), Pandas (Python) (Inactive), Python (Programming Language), R Programming, Stakeholder Engagement, Statistical Analysis, Structured Query Language (SQL), Time Series Analysis

Basel

Lernende/r ICT Fachmann/frau EFZ

Salary Range:CHF 0.00 - CHF 0.00 Job Description SummaryMit ihrem vernetzten Denken, technischem Geschick und ihrer Freude am Umgang mit Menschen helfen ICT-Fachleute Kunden bei Problemen mit ihren ICT-Geräten. Sie suchen, durchleuchten und lösen Probleme, nehmen verschiedene Geräte in Betrieb und installieren die benötigte Software. Gleichzeitig betreuen und entwickeln sie die IT-Infrastruktur weiter, indem sie IT-Systeme installieren, betreiben und warten sowie bei technischen Problemen unterstützen. Job DescriptionLehrdauer:3 Jahre Schulische Vorbildung: Sekundarschule E (BS/BL), Bezirksschule (AG), Mittlere Reife (D) oder höhere Schulstufe Sprachen: Deutsch und Englisch Attraktiver Lohn: 1. Lehrjahr: CHF 850 pro Monat2. Lehrjahr: CHF 1’050 pro Monat3. Lehrjahr: CHF 1’400 pro MonatFerien: 27 Tage pro Jahr (5 Wochen und 2 Tage)Kostenübernahme: CHF 530 für ÖV in der Nordwestschweiz pro JahrCHF 600 für Bring Your Own DeviceSchulbücherArbeitskleidung (wenn erforderlich)Fitness-Abo: Vergünstigtes Fitness-Abo (Basel/Stein)Reka-Guthaben: Lernende haben ebenfalls die Möglichkeit Reka-Guthaben zu kaufen Skills Desired

Basel