AI & Machine Learning jobs in Basel

Global Head Regulatory Data, Digital and AI

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections,  where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.The PositionThe PTR Data, Digital and AI team drives the technological transformation of our regulatory domain to accelerate the delivery of novel therapeutics to patients worldwide. By leveraging cutting-edge automation, data analytics, and artificial intelligence, we streamline regulatory submissions and processes and empower our global network to operate with agility and precision.The OpportunityLead the definition, ownership, and execution of the digital, automation, and AI strategy across Technical Regulatory.Translate strategic visions into actionable tactical execution plans with defined milestones, clear ownership, and measurable business impact.Evaluate, architect, and deploy innovative digital solutions, including generative AI, machine learning, and routine workflow automation.Establish robust data governance and AI governance frameworks to ensure compliant, high-quality data stewardship across the ecosystem.Partner with IT, RIM Business Owners, Data Stewards, and technology vendors to drive end-to-end delivery of digital capabilities.Build advanced analytics, business intelligence, and real-time performance dashboards to track organizational effectiveness.Champion change-management plans, process optimization, and training curricula to ensure broad adoption of new digital tools.Represent department needs in senior leadership and governance forums while actively engaging with external industry networks and regulatory bodies.Lead, mentor, and empower a high-performing team of strategic digital leads while managing portfolio priorities and resource allocation.Who You AreYou are an inspiring, forward-thinking leader who thrives at the intersection of enterprise data governance, AI implementation, and digital innovation. You empower high-performing, self-managed teams through visionary coaching, open communication, and an agile mindset, while effortlessly connecting strategy with execution to drive organizational transformation.Furthermore, you possess the following qualifications and experience:University degree (Master's or PhD preferred) in Data Science, Computer Science, Engineering, Life Sciences, or a related technical discipline.Extensive experience in the pharmaceutical or biotechnology industry with a strong focus on digital transformation, technology implementation, and advanced analytics. A good understanding of regulatory affairs would also be beneficial.Deep expertise in enterprise data governance, AI governance, master data management, and building business intelligence platforms.Proven background in establishing cross-functional change management, senior stakeholder alignment, and leading end-to-end operational improvements.Leadership experience in coaching, mentoring, and developing high-performing teams in an agile setting.Experience in pharmaceutical regulatory affairs operations is a distinct advantage.Are you ready to pioneer cutting-edge solutions that accelerate breakthroughs for our patients? We are looking forward to your application – join us now and become part of our journey!  Where pay transparency applies, details are provided based on the primary posting location. For this role, the primary location is Basel. If you are interested in additional locations where the role may be available, we will provide the relevant compensation details later in the hiring process.Who we areA healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.Let’s build a healthier future, together.Roche is an Equal Opportunity Employer.

Machine Learning Scientist - Quantum Chemistry

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections,  where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.The PositionJoin the small-molecule team within AI for Drug Discovery (AI4DD), formerly Prescient Design, at Roche and Genentech’s Computational Sciences Center of Excellence as a Machine Learning Scientist / Senior Machine Learning Scientist in Quantum Chemistry. You will combine machine learning methods and quantum chemistry to build fast, accurate models that power small-molecule drug discovery. You will work with world-class computational and experimental scientists and leverage proprietary datasets and state-of-the-art compute.The OpportunityCreate cutting-edge solutions that combine quantum chemistry and machine learning algorithm development to model small-molecule energetics and protein–ligand interactions, from conformation and reactivity to binding affinity and free energy.Build synthetic datasets using quantum mechanics and related methods to shape novel research directions in ML.Develop deployable pipelines that are robust, scalable and reproducible, and feed directly into molecular-design tools used across Roche.Drive scientific impact through publications, open-source releases, and talks at internal and external conferences.Collaborate widely with world-class computational and experimental researchers at Roche and with academic partners.Who you areYou bring deep machine-learning expertise with a strong theoretical foundation in linear algebra, probability and optimization, and you build models from first principles.You have hands-on quantum chemistry experience and fluency in toolkits such as Psi4, PySCF and ORCA, as well as semi-empirical methods like xTB.You are fluent in Python and modern ML frameworks such as PyTorch or JAX.You hold a PhD or equivalent research depth in machine learning, computational chemistry, chemical engineering or a related quantitative field such as physics or statistics.You have a record of scientific excellence evidenced by journal and conference publications or a public portfolio of relevant projects (e.g. hosted on GitHub/GitLab).PreferredExperience in scientific software development, scaling ML training, and applying models to drug discovery. Experience generating large-scale synthetic datasets.Location & Travel RequirementsThis position must be based in either Welwyn Garden City in the United Kingdom (preferred) or Basel, Switzerland. Although this can be a hybrid role, there is an expectation of ongoing and sustained site presence, in compliance with local company site requirements.If building physics-grounded machine learning models that bring better medicines to patients faster is your calling, apply now and help shape the future of small-molecule drug discovery.#ComputationCoE#tech4lifeComputationalScience#tech4lifeAI   Where pay transparency applies, details are provided based on the primary posting location. For this role, the primary location is Welwyn. If you are interested in additional locations where the role may be available, we will provide the relevant compensation details later in the hiring process.Who we areA healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.Let’s build a healthier future, together.The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants’ requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.

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

Scientist – Assay Data, AI & Workflows

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections,  where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.The PositionIn Roche’s Pharmaceutical Research and Early Development organization (pRED), we make transformative medicines for patients in order to tackle some of the world’s toughest unmet healthcare needs. At pRED, we are united by our mission to transform science into medicines. Together, we create a culture defined by curiosity, responsibility, and humility, where our talented people are empowered and inspired to bring forward extraordinary life-changing innovation at speed.Therapeutic Modality (TMo) organization, accountable for translating disease biology into high-quality drug candidates across small molecules, large molecules, oligonucleotides, and genomic medicines. By integrating deep modality expertise with cross-disciplinary collaboration, TMo drives innovation within and across platforms to enable differentiated, sustainable therapeutic impact.The OpportunityWe are looking for a highly versatile Scientist  to serve as our primary operational and computational architect embedded in the wet-lab scientific community. In this role, you will bridge the gap between physical laboratory benches and advanced digital infrastructure. You will have the chance to shape how active learning loops could fundamentally rethink small molecule assay development for screening and profiling by building future ready agentic AI workflows from assay design to data delivery. Concurrently, you will champion platform adoption across the department, ensuring bench scientists are trained and supported on core tools. This profile requires a unique combination of biological literacy and data engineering acumen to successfully design closed-loop analytical systems, minimize operational bottlenecks, and transition raw screening readouts into predictive, FAIR-compliant data assets.Lead the co-development, operational rollout, and continuous training for our end-to-end assay development and screening laboratory information management systems (LIMS), ensuring complete, traceable data trails and digital twins.Design and integrate cutting-edge Agentic AI tools and Design of Experiments (DoE) frameworks.Build and adjust pipelines that connect specialized raw instrument outputs directly with databases to achieve robust FAIR (Findable, Accessible, Interoperable, and Reusable) data standards.Act as a change agent by coordinating user onboarding, training bench scientists, and championing platform adoption across the broader scientific community.Make a direct impact by accelerating assay design and execution times, lowering processing error rates, and resolving operational bottlenecks for specialized teams.Who You AreYou hold a Ph.D. or M.S. in Computational Biology, Scientific Informatics, Bioinformatics, Biology/Biochemistry with a strong computational focus, or a related quantitative scientific discipline.You bring solid experience in cellular, biochemical, or biophysical systems and are familiar with FAIR data management standards.You have proven experience working with laboratory informatics environments (such as LIMS or electronic lab notebooks) alongside wet-lab operations incl. Design of Experiments.You demonstrate strong programming proficiency, including building or maintaining databases, automating data extraction, and working with ML/LLM API integration.You are a collaborative communicator with a customer-centric mindset, ready to train cross-functional users and manage stakeholder relationships effectively.At Roche, we aim high to deliver life-changing healthcare solutions. If you’re ready to make a meaningful impact on patients and healthcare systems worldwide, this is the place for you.  Who we areA healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.Let’s build a healthier future, together.Roche is an Equal Opportunity Employer.

AI Strategy & Portfolio Lead

Location: Basel, Switzerland | Hybrid Relocation assistance is available for eligible candidates and their families, if needed. We are seeking an experienced AI Strategy & Portfolio Leader to define and drive Lonza's enterprise AI strategy, roadmap, and investment portfolio. In this highly visible role, you will partner with business leaders and key functions to translate strategic priorities into impactful AI initiatives, investment decisions, and measurable business outcomes. You will oversee the end-to-end AI portfolio lifecycle, from opportunity intake and prioritization through governance and value realization, while providing senior leadership with strategic insights on AI opportunities, risks, investments, and trade-offs.  This role is primarily based on site. Working together in person supports close, real‑time collaboration and the technical precision needed to manufacture medicines to the highest quality and safety standards. We offer flexibility to work remotely for no more than 20% of your time. Requests are considered on a case‑by‑case basis, in line with business needs.  What you will get:  An agile career and dynamic working culture.An inclusive and ethical workplace.Compensation programs that recognize high performance.A variety of benefits dependent on role and location. In addition to a competitive salary, you can expect numerous lifestyle, family, and leisure benefits. Our full list of tailored local benefits can be found below.  Benefits in Basel: https://media.ffycdn.net/eu/lonza-group-ag/d/5c78e3b906804b0cb6710009ab5507de?updated What you'll do: Own and drive Lonza’s enterprise AI strategy, portfolio, and roadmap, ensuring alignment with business priorities and long-term objectives.Translate business goals into clear AI investment priorities, initiatives, and execution plans that deliver measurable value.Lead portfolio prioritization, investment governance, and value realization activities across AI programs and products.Partner closely with business leaders, Finance, GIA, and IT to identify high-impact opportunities and scale successful AI initiatives.Establish frameworks, metrics, and governance processes to track performance, business outcomes, and return on investment.Provide strategic recommendations on which initiatives to accelerate, optimize, pause, or discontinue based on value and organizational priorities.Bridge strategy and execution by driving decision-making, stakeholder alignment, and successful implementation across functions. What we're looking for: 10+ years of experience in strategy, AI strategy, digital transformation, portfolio management, technology strategy, or a related field.Proven track record of translating strategic priorities into investment decisions, portfolios, and measurable business outcomes.Strong experience engaging and influencing senior business stakeholders in complex, global organizations.Solid understanding of AI and emerging technologies, with the ability to translate technology trends into practical business opportunities.Strong commercial, financial, and value-driven mindset, including experience evaluating investments and business cases.Experience operating in matrix organizations, influencing without direct authority, and driving cross-functional alignment.Experience in pharmaceuticals, life sciences, CDMO, or other highly regulated industries is strongly preferred.   About Lonza At Lonza, our people are our greatest strength. With 30+ sites across five continents, our globally connected teams work together every day to manufacture the medicines of tomorrow. Our core values of Collaboration, Accountability, Excellence, Passion and Integrity reflect who we are and how we work together. Everyone’s ideas, big or small, have the potential to improve millions of lives, and that’s the kind of work we want you to be part of.Innovation thrives when people from all backgrounds bring their unique perspectives to the table. At Lonza, we value diversity and are committed to creating an inclusive environment for all employees. If you’re ready to help turn our customers’ breakthrough ideas into viable therapies, we look forward to welcoming you on board. Ready to shape the future of life sciences? Apply now!

AI Products Lead

Location: Basel, Switzerland | Hybrid Relocation assistance is available for eligible candidates and their families, if needed. We are seeking an experienced AI Products Lead to drive Lonza's AI product portfolio across the value chain. In this strategic role, you will work closely with business and functional leaders to identify, shape, build, and scale AI products that deliver measurable business outcomes. You will own the product lifecycle from opportunity identification and prioritization through delivery, adoption, scaling, and retirement, partnering with the AI Factory, technology teams, and business stakeholders to maximize value creation. This role is primarily based on site. Working together in person supports close, real‑time collaboration and the technical precision needed to manufacture medicines to the highest quality and safety standards. We offer flexibility to work remotely for no more than 20% of your time. Requests are considered on a case‑by‑case basis, in line with business needs. What you will get:  An agile career and dynamic working culture.An inclusive and ethical workplace.Compensation programs that recognize high performance.A variety of benefits dependent on role and location. In addition to a competitive salary, you can expect numerous lifestyle, family, and leisure benefits. Our full list of tailored local benefits can be found below.  Benefits in Basel: https://media.ffycdn.net/eu/lonza-group-ag/d/5c78e3b906804b0cb6710009ab5507de?updated  What you'll do: Partner with business and functional leaders to identify, evaluate, and prioritize high-value AI opportunities that deliver measurable business impact.Own the end-to-end AI product lifecycle, including strategy, roadmap development, prioritization, delivery, adoption, scaling, and retirement.Translate business challenges into scalable AI products and use cases that enhance efficiency, innovation, and decision-making.Lead cross-functional collaboration between business stakeholders, AI specialists, data teams, IT, and external partners to ensure successful product delivery.Establish product management best practices, including governance, success metrics, value realization tracking, and portfolio management.Drive user adoption and change management activities to maximize the value and scalability of AI solutions across the organization.Ensure AI products comply with responsible AI principles, data governance requirements, security standards, and regulatory expectations. What we're looking for: Master's degree in Business Strategy, Artificial Intelligence, Data Science, Computer Science, or a related field.Significant experience in AI product management, digital product leadership, or technology-driven business transformation within complex organizations.Proven ability to take AI products from concept to implementation, driving adoption, scalability, and measurable business value.Strong understanding of AI, Generative AI, product lifecycle management, agile methodologies, and portfolio prioritization.Experience working across business, data, technology, and engineering teams, with excellent stakeholder management and influencing skills.Knowledge of AI governance, responsible AI principles, data management, security, and compliance requirements.Experience in life sciences, pharmaceuticals, manufacturing, CDMO, or other highly regulated industries is highly desirable.  About Lonza At Lonza, our people are our greatest strength. With 30+ sites across five continents, our globally connected teams work together every day to manufacture the medicines of tomorrow. Our core values of Collaboration, Accountability, Excellence, Passion and Integrity reflect who we are and how we work together. Everyone’s ideas, big or small, have the potential to improve millions of lives, and that’s the kind of work we want you to be part of.Innovation thrives when people from all backgrounds bring their unique perspectives to the table. At Lonza, we value diversity and are committed to creating an inclusive environment for all employees. If you’re ready to help turn our customers’ breakthrough ideas into viable therapies, we look forward to welcoming you on board. Ready to shape the future of life sciences? Apply now!

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

Senior, AI Engineer - (Imaging)

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections,  where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.The PositionAs an imaging-focused machine learning engineer within the AI Enablement team, you will be working closely with folks that span the gamut across computational scientists, biologists, bench scientists, AI/ML experts, product leaders, software engineers, and everyone in between. Your work will help bridge scientific intuition with quantitative analysis, enable richer phenotypic analysis, and provide new multimodal capabilities across large-scale, state-of-the-art datasets. You'll build, own, and constantly improve scalable AI/ML and computer vision systems that unlock the potential of our diverse scientific imaging data (e.g., microscopy, digital pathology, biomedical imaging, etc), accelerating the discovery and development of life-changing treatments for patients.The OpportunityDesign, develop, and test robust, scalable, and maintainable AI/ML scientific web applications and backend pipelines tailored for high-throughput scientific imaging data processing and visualization.Build, evaluate, and fine-tune state-of-the-art computer vision and deep learning models (e.g., cell segmentation, cell classification, phenotypic profiling, tissue segmentation, feature extraction, and image registration) applied to biological and clinical imaging modalities.Build tools to evaluate AI/ML and vision model performance, establish benchmark datasets, and quantify model quality, robustness, and drift over time.Develop and maintain scalable cloud infrastructures and data pipelines for collecting, structuring, storing, and accessing large-scale multi-dimensional imaging datasets (e.g., OME-TIFF, Zarr, HDF5).Contribute to architectural decisions, code reviews, and the evolution of engineering and MLOps processes for computer vision models.Stay up-to-date with emerging computer vision technologies and industry best practices while promoting a culture of continuous learning, collaboration, and curiosity.Who You ArePhD, Master’s with 3–5 years, or Bachelor’s with 4–7 years experience with a degree in Computer Science, Biomedical Engineering, Electrical Engineering, Computational Biology, or a related technical field with focus on machine learning engineering and computer vision.Strong proficiency with AI/ML frameworks and computer vision libraries (e.g., PyTorch, TensorFlow, OpenCV, MONAI, Scikit-Image, torchvision, Napari, or Bio-Formats).Deep expertise in computer vision algorithms (e.g., CNNs, Vision Transformers, UNet, SAM/Segment Anything, Cellpose).Expert knowledge of machine learning theory, image processing fundamentals, object detection, instance segmentation, and quantitative image analysis.Demonstrated experience working with high-dimensional scientific imaging data (e.g., fluorescence/brightfield microscopy, digital pathology whole slide images, high-content screening, multiplexed imaging, etc).Experience with Kubernetes, relational databases, NoSQL databases, object storage, and cloud-native architectures in public clouds (ideally AWS).Excellent communication skills and ability to build trusted partnerships with scientific collaborators, bioimage analysts, and cross-functional teams.Experience with multi-modal data fusion (combining scientific imaging with genomics, transcriptomics, or clinical tabular data) or in a pharma/biotech research environment.Experience with workflow automation, GenAI, Vision-Language Models, and/or AI agents.  Who we areA healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.Let’s build a healthier future, together.Roche is an Equal Opportunity Employer.

Senior Engineer - Machine Learning & AI Enablement

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections,  where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.The PositionAt Roche, we advance science so that we all have more time with the people we love. A healthier future. For a world where everyone has access to the healthcare they need today and for the generations to come. For this, we believe the next breakthrough in medicine will be powered by the intersection of computational engineering and biology. We are building the infrastructure that transforms AI from an experimental concept into a reliable, high-impact utility for our researchers.Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche’s Research and Early Development organizations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and AI to assist scientists to deliver more innovative and transformative medicines for patients worldwide.Within the CoE, the Data and Digital Catalyst (DDC) organisation drives the modernization of computational and data ecosystems and integration of digital technologies across Research & Early Development. The AI Enablement Engineering group sits at the heart of this mission. We aren't just training models; we are building scalable systems, data pipelines, and intelligent applications that enable our scientists to work smarter, not harder. From optimizing model performance to designing end-to-end agentic workflows, our goal is to put powerful AI tools directly into the hands of those driving drug discovery to power data-driven science and accelerate decision making.We are a cross-functional, impact-driven team that values cognitive diversity and technical excellence. Here, you’ll partner with biologists, computational scientists, data experts, and researchers to architect a future where AI/ML is an essential component of every scientific discovery. If you’re an engineer who thrives on solving complex problems, spans the stack with curiosity, and wants to build tools that truly change lives, we want to hear from you.The OpportunityAs a Senior Machine Learning Engineer in AI Enablement, you will lead the architecture and delivery of systems that unlock scientific data across complex workstreams. You will own end-to-end technical execution, setting architectural standards that turn AI into a reliable, high-impact utility for researchers.Partnering across computational sciences, product leaders, and engineering teams, you will drive technical strategy and take ownership of critical AI/ML products. You will combine engineering rigor with proactive problem solving to guide cross-functional teams and foster technical growth across the organization.Lead technical design, architecture, and hands-on implementation of agentic AI solutions and scalable data pipelines to solve complex scientific challenges.Drive end-to-end delivery of high-impact products and workstreams, establishing software engineering best practices (testing, CI/CD, documentation) and evaluation standards.Shape foundational architecture decisions, champion best practices through code reviews, and proactively resolve technical bottlenecks.Be willing to span the stack and contribute where needed, even outside of your core area of expertise.Stay up-to-date with emerging technologies and industry best practices and adopt a culture of continuous learning, collaboration, and curiosity.Who You AreYou lead with technical rigor and ownership: You hold a Master’s degree with 5+ years of professional experience or a PhD with 3+ years in Computer Science or a related field, with a track record of driving complex workstreams and establishing architectural best practices.You span the stack: You are comfortable working across the ML lifecycle, from GPU optimization and model performance to backend systems and cloud-native architecture (e.g., Kubernetes, AWS) with solid knowledge of statistics and ML theory as well as AI/ML frameworks, libraries, and toolsetsYou own project delivery and architecture: You excel at delivering AI/ML products, proactively identifying risks, and guiding cross-functional teams (from researchers to DevOps engineers) toward robust, maintainable solutions.You are a continuous learner: You approach new frameworks and languages with curiosity. You are as comfortable mentoring others as you are learning from them, and you actively contribute to a culture of collective growth.You are an excellent communicator: You excel at translating technical complexity into clear, actionable insights for diverse audiences. You communicate with empathy and precision, ensuring that technical trade-offs are well-understood and that all stakeholders, from research scientists to engineers, feel aligned and heard.Experience with biological data (ideally multimodal) and processes is a strong plus.Experience working with scientists or in a research environment is advantageous.Experience with workflow automation, GenAI, and/or agents is a plus.  Who we areA healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.Let’s build a healthier future, together.Roche is an Equal Opportunity Employer.

Sr. Scientist - Computational & Applied AI

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections,  where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.The PositionAdvances in AI, data, and computational sciences are transforming drug discovery and development. Roche’s Research and Early Development organisations (gRED and pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new Computational Sciences Center of Excellence (CS-CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.Within this newly established Center of Excellence, our activities operate across a distinct continuum of innovation and explainability. The Computational Biology and Medicine team stands as the vital final link in this continuum. Focussed on our delivery for the portfolio  we bridge advanced algorithmic models with deep mechanistic validation to turn AI-driven hypotheses into validated therapeutic targets and deepen our understanding of disease biology and our patients.The OpportunityThe Senior Computational and Applied AI Scientist within the Computational Biology and Medicine team is responsible for developing and deploying translational and applied AI frameworks to accelerate our Immunology and Cardiovascular, Renal, and Metabolism (CVRM) portfolios. Operating at the final stage of translational execution for Discovery and Early Development, you will focus on moving beyond pure statistical correlation toward a systems-level, mechanistic understanding of disease and target biology. This position offers a trajectory of professional development aligned with scientific excellence and modern enterprise productivity frameworks ensuring our computational pipelines directly optimize R&D throughput and compress discovery cycles.Working across departments to co-develop and implement advanced machine learning models focused on explainable and causal AI methods (such as causal models, symbolic regression, and counterfactual inference) to map disease pathways and unlock true mechanistic target validation.Adaptation and fine-tune state-of-the-art biological foundation models  to predict novel therapeutic targets in complex immune diseases and CVRM.Bridging the translational gap by implementing adversarial domain adaptation and cross-species translation algorithms to dynamically align animal model phenotypes with human patient endotypes.Leveraging patient-level multi-omics, spatial profiles, and real-world clinical datasets to identify distinct disease endotypes, defining mechanistic patient selection criteria that enable clinical scientists to stratify responder vs. non-responder populations.Constructing dynamic representations and physics-informed models (e.g., Neural ODEs, PINNs) to capture physiological kinetics, temporal disease progression, and patient "digital twins" entirely in silico.Applying graph-based deep learning approaches, building and querying large-scale biological knowledge graphs to capture systems-level interactions across complex tissue-remodeling and auto-inflammatory networks.Anchoring the final stage of the organizational continuum, translating algorithmic innovations and "ML-ready" frameworks directly into high-value portfolio deliverables.Collaborating cross-functionally with clinical scientists, wet-lab disease biology experts, biostatisticians, and enterprise engineers across pRED and gRED to convert ambiguous therapeutic questions into concrete computational pipelines.Ensuring provenance and explainability is an integral feature of your insight delivery to stakeholdersWho you areYou hold a PhD (preferred) or MSc in Computational Biology, Computer Science, Machine Learning, Bioinformatics, Systems Biology, Artificial Intelligence, or a highly quantitative field.You bring 3+ years (Senior Scientist) or 6+ years (Principal Scientist) of post-doctoral or biopharmaceutical industry experience delivering applied AI and data science solutions in a drug-discovery setting.You possess hands-on experience applying causal inference toolkits, graph neural networks, or generative models to high-dimensional biomedical data (single-cell, spatial omics, or clinical trial datasets).You possess experience adapting large-scale biological foundation models or building dynamic systems models to capture temporal disease progression.You demonstrate an active interest or deep domain understanding of human immunology, complex and multifactorial diseases, or system-level pathophysiology.You exhibit elite communication and teamwork skills, with a proven track record of acting as a cross-functional catalyst between pure computational engineers and wet-lab experimentalists.This position is based in Basel, Switzerland  Who we areA healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.Let’s build a healthier future, together.Roche is an Equal Opportunity Employer.