Senior ML Engineer, AI Security

Pensum:
80 – 100%

Antritt:
per sofort oder nach Vereinbarung

Einsame Inseln sind aus deiner Sicht ein tolles Ferienziel, haben in einer modernen Datenarchitektur jedoch nichts mehr verloren? Du bist nicht Robinson Crusoe, sondern unser nächster Tony Stark? Dann bist du bei uns genau richtig – als Team können wir mit dir die Datenwelt erobern.

DEINE ZUKÜNFTIGEN AUFGABEN

• Als Data Engineer übernimmst du die Verantwortung für Schnittstellenprojekte und komplexe Datentransformationen und erleichterst unseren Kunden den Arbeitsalltag durch optimal vernetzte Systeme.
• Du siehst dich selbst als Pionier und übernimmst gerne den Lead - Dank dieser Persönlichkeit erarbeitest du mit unseren Kunden, externen Partnern und internen Ansprechpersonen neue Konzepte für automatisierte und optimierte Prozesse.
• Mit deinen Projektleiter Skills begleitest du deine Ansprechpersonen durch den Alltag und denkst dich immer wieder in neue Prozesse ein.
• Und in deinem Alltag bist du nicht allein: Als Teil des Data & Analytics Teams bist du mitten im Geschehen. Teamspirit wird bei uns grossgeschrieben.
• Die Implementation der konzipierten Lösung beim Kunden machen dein Arbeitsgebiet spannend und abwechslungsreich.
• Du wirst dich immer wieder in neuen Situationen und Herausforderungen wiederfinden, was dich anspornt, deinen Erfahrungsschatz stetig zu erweitern.
• Auch nach der sorgfältigen und persönlichen Einführung kannst du auf die kollegiale Unterstützung deiner Kolleginnen und Kollegen zählen.

DEINE SKILLS UND STÄRKEN:

• Spass und Motivation – wir erwarten von dir noch keine Überfliegerqualitäten. Du solltest aber den Mut aufbringen können, dich kämpferisch und auch selbständig durch neue Situationen zu bringen. Wichtig ist auch, dass du ein gutes Verständnis an betriebswirtschaftlichen Zusammenhängen und Datenstrukturen mitbringst, damit du den Kunden und sein Business verstehst.
• Weiter wünschen wir uns von dir ein ausgeprägtes analytisches Denken und Begeisterung für Datenstrukturen.
• Was wir uns in deinem Bildungsrucksack vorstellen? Gar nicht so einfach, viele Wege führen zu uns. Erfolgversprechend sind sicher eine technische oder kaufmännische Ausbildung ergänzt mit einer abgeschlossenen Weiterbildung im Bereich Wirtschaftsinformatik oder Informatik. Deine Berufserfahrungen im Bereich Data Engineering werden dir im Alltag zugutekommen.
• Deine SQL-Kenntnisse bringst du sicher ins Spiel. Erfahrungen mit Python oder PowerShell sind ein Plus – Hauptsache, du hast Lust, dich weiterzuentwickeln.
• Deine Kolleginnen und Kollegen freuen sich auf Verstärkung von einer unkomplizierten, humorvollen Person. Und ja, es wartet richtig viel Büez auf dich.

Wir hätten noch viel mehr zu erzählen. Was deinen Job bei uns sonst noch spannend macht zum Beispiel. Wer wir sind und wie wir so ticken. Deshalb zögere nicht und macht dir dein eigenes Bild.

Schon Feuer gefangen?
Du willst lieber schon heute als morgen loslegen? Dann her mit deinem CV oder dem Link auf dein LinkedIn-Profil. Das Motivationsschreiben kannst du dir sparen, wir sind auch da völlig unkompliziert.

Und das (a) im Stellentitel?
Es ist unser Statement für Vielfalt. Wir stehen auf durchmischte Teams. Alter, Herkunft, Hautfarbe oder Geschlecht sind uns egal. Bei uns sind
(a)
lle willkommen, die uns mit ihrem Talent weiterbringen.

Wer wir sind
EKZ ist einer der grössten Energiedienstleister der Schweiz und versorgt zuverlässig rund eine Million Menschen mit Strom aus 100 Prozent erneuerbarer Energie. Die rund 1'600 Mitarbeitenden der EKZ-Gruppe setzen sich für eine nachhaltige Energiezukunft ein: mit dem Ausbau von Wind-, Wasser- und Solarenergie sowie smarten Technologien wie Ladelösungen für die Elektromobilität. EKZ plant, baut und unterhält ein über 17 000 Kilometer langes und mit 99,998 Prozent überdurchschnittlich verfügbares Stromnetz. Zu den Kunden von EKZ zählen Private, Unternehmen und andere Schweizer Energieversorger. Als einer der grössten Ausbildner im Kanton Zürich bildet EKZ 155 Fachkräfte in neun Lehrberufen aus.

 

Software Engineer, Data
80-100%

Daten sind für dich mehr als nur Tabellen - sie sind die Basis für smarte Entscheidungen und nachhaltige Innovationen? Dann bist du bei uns genau richtig. Gemeinsam entwickeln wir datengetriebene Lösungen, die die Energiewende und die digitale Transformation der EKZ aktiv vorantreiben - und du spielst dabei eine Schlüsselrolle.

In unserem kompakten Data & AI Development Team gestaltest und betreibst du die zentrale Daten- und KI‑Plattform der EKZ. Der fachliche Austausch ist eng, das Lernen voneinander selbstverständlich und die Zusammenarbeit geprägt von Offenheit und Neugier. Mit deinem Know-how hilfst du uns, Datensilos aufzubrechen, robuste Datenpipelines aufzubauen und innovative digitale Lösungen zu entwickeln, die unseren Fachabteilungen echten Mehrwert bringen.

Dich erwartet ein innovatives Umfeld mit viel Gestaltungsspielraum, modernen Technologien und abwechslungsreichen Projekten mit sichtbarer Wirkung. Klingt nach deinem nächsten Schritt? Dann freuen wir uns auf deine Bewerbung! Auf ein Motivationsschreiben verzichten wir.

 

Das erwartet dich

• Ein interdisziplinäres Team aus Data, Software und ML-Engineers.
• Eine moderne Cloud-native Daten & ML-Infrastruktur auf Microsoft Azure.
• Gestaltungsfreiraum bei der Weiterentwicklung unserer Plattform und Tools sowie technische Mitverantwortung für Architekturentscheidungen, Plattformstandards und Best Practices.
• Aufbau und Weiterentwicklung einer zentralen Datenplattform zur Befähigung von Self‑Service‑BI sowie Unterstützung der Fachbereiche in der Entwicklung durch bereitstellen und warten von Templates und Architekturleitplanken.
• Verantwortung für den stabilen Betrieb der Datenplattform inkl. Monitoring, Incident Management und kontinuierlicher Verbesserung (während Arbeitszeiten, kein On-Call).
• Moderne Tools und Methoden in Projekten bei denen Code-Qualität, Wiederverwendbarkeit und Wartbarkeit ebenso zählen wie Business Impact und Effizienz.

 

Das bringst du mit

• Mehrjährige Berufserfahrung im Bereich Data idealerweise als Software oder Data Engineer.
• Tiefes technisches Verständnis und sicherer produktiver Einsatz von Python, PySpark, set-based transformations und SQL sowie ein solides Software-Engineering-Verständnis.
• Routine in Design, Implementierung und Betrieb von Datenpipelines für BI und ML-Anwendungen.
• Erfahrung oder starkes Interesse am Aufbau und Betrieb von Cloud-basierten Daten- und KI-Plattformen.
• Erfahrung mit Business Continuity & Disaster Recovery, Secure Code Development und der Umsetzung von Security-, Governance- und Compliance‑Anforderungen in Datenplattformen von Vorteil.
• Sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift.
• Eigeninitiative, Gestaltungswille und Lust, Dinge voranzubringen.

 

Dein Start bei uns
Wir sind bereit. Sobald du es auch bist, legen wir gemeinsam los.

Kontakt
Patrick Ploesser

Leiter Data & AI Development

+41 58 359 21 62

Sven Eugster

Talent Acquisition & Employer Branding Specialist

+41 58 359 53 05

Für diese Stelle berücksichtigen wir keine Bewerbungen von Personalvermittlungen.

Arbeitsort
Dietikon

THE OPPORTUNITY
AEM Assets is Adobe's digital asset management platform - a Gartner-ranked Leader in Digital Asset Management for over a decade, with agentic AI already shipped and in production: Content Advisor for conversational search, Governance Agent enforcing brand rules automatically, Content Optimization Agent reshaping content per channel. A DAM here isn't a supporting tool other systems tolerate - it's becoming the thing every other system depends on, and that authority matters more as AI systems decide what content gets surfaced and reused.

What You'll Do

• Build features shaped by real customer problems - you're in the discovery conversation, not just handed a spec afterward
• Move fast with AI-assisted development: spec, prototype, validate, iterate, with AI as a working partner, not a shortcut around understanding the problem
• See the loop close after launch - does this get used, does it hold up - instead of shipping and moving on
• Contribute to a connected system: content moving from creative workflows through governance to delivery, not siloed features
• Learn directly from engineers who've been running this customer-informed, AI-native loop for years

What You Need To Succeed

• 3+ years of software engineering experience, or a relevant degree plus equivalent experience
• Strong programming in JavaScript/Node.js or Python; comfortable across backend and frontend
• Genuine curiosity - you ask the next question instead of stopping at the first plausible answer
• Comfortable working directly with customers, even before your title requires it
• Hands-on with AI-assisted development tools (Claude Code, Codex, or similar) - a real requirement here, not a nice-to-have
• Cloud platform experience and solid DevOps fundamentals

About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

Let’s Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.

AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.

Summary
Location: Basel, Switzerland

Internal Title: Senior Expert II Data Science or Senior Principal Data Science

The Senior Data Scientist & Scientific Software Engineer will join the Modeling & Simulation Data Science team within the Translational Medicine Unit to help advance data-driven drug discovery. The role is focused on transforming large-scale ADME, PK, and related experimental datasets into actionable insights through advanced analytics, machine learning, and robust software engineering. Partnering closely with pharmacokinetic sciences (PKS) scientists, Data & Digital teams, and cross-functional stakeholders, this position will drive the development of scalable analytical applications, reusable computational workflows, and decision-enabling in silico solutions that accelerate lead optimization and strengthen scientific decision making.

About The Role
200+ experimental datasets are generated every day in the Pharmacokinetic Sciences (PKS) department at Novartis Biomedical Research. This role sits at the center of efforts to unlock the value of these data for decision making and to shape the future of medicine through advanced data science.

As Senior Expert II / Senior Principal Data Scientist & Scientific Software Engineer, you will join the Modeling & Simulation Data Science team in the Translational Medicine Unit and work at the intersection of data science, software engineering, and drug discovery. You will apply machine learning, statistics, and modern software development practices to harness ADME and PK data, uncover structure-property relationships, and translate scientific and business needs into scalable, strategically aligned solutions.

You will collaborate closely with Data & Digital and PKS wet- (ADME and bioanalytical) and dry-lab (modeling) teams to identify opportunities where data, applications, and in silico methods can meaningfully improve decision quality, efficiency, and scientific impact. In addition to hands-on technical delivery, you will help shape and champion fit-for-purpose solutions that are robust, reusable, and maintainable in a production setting.

This role is ideal for a scientifically grounded data scientist who combines strong analytical depth with practical software engineering expertise, and who is motivated by delivering measurable impact in drug discovery through high-quality data products, machine learning, and computational innovation.

Key Responsibilities

• Senior Principal: Act as a senior Modeling & Simulation Data Science representative on discovery and lead optimization programs, contributing scientific and strategic input to project discussions and decisions, and helping shape data science direction across programs. Senior Expert II: Act as a key Modeling & Simulation Data Science representative on discovery and lead optimization programs, providing expert scientific input and contributing to project discussions and decisions.
• Senior Principal: Partner with Data & Digital and PKS wet- and dry-lab teams to identify priority gaps, clarify business needs, and translate them into strategically aligned analytical and computational solutions with broad scientific and operational impact. Own the
• Senior Expert II: Partner with Data & Digital and PKS wet- and dry-lab teams to identify priority gaps, clarify business needs, and translate them into high-impact analytical and computational solutions for projects and platforms.
• Design, build, and maintain scalable applications, workflows, and data pipelines that support scientific analysis and decision making across projects and modalities.
• Develop, evaluate, and deploy machine learning and statistical models to uncover relationships between chemical structure and molecular or pharmacokinetic properties.
• Apply data mining, visualization, and exploratory analysis to derive insight from complex experimental datasets and communicate findings clearly to diverse stakeholders.
• Senior Principal: Create and implement project- or modality-specific in silico models and data strategies that accelerate and streamline compound progression decisions while informing broader scientific direction and capability development.
• Senior Expert II: Create and implement project- or modality-specific in silico models and data approaches that accelerate and streamline compound progression decisions.
• Write production-quality code following strong software engineering practices, including version control, testing, documentation, and maintainability standards.
• Senior Principal: Lead and shape cross-functional initiatives across data science, software engineering, and laboratory teams, driving strategic alignment and organizational impact.
• Senior Expert II: Contribute to and coordinate cross-functional initiatives across data science, software engineering, and laboratory teams to deliver high-quality solutions.
• Senior Principal: Promote and champion the broad adoption of in-house tools, applications, and data science methods, helping shape best practices and strengthen data science capabilities across Translational Medicine and PKS.
• Senior Expert II: Promote the adoption and effective use of in-house tools, applications, and data science methods across projects and teams to maximize scientific impact.
• Senior Principal: Stay current with advances in AI/ML, statistics, and computational methods relevant to ADME, PK/PD, and drug discovery, and proactively evaluate and bring appropriate innovation into practice to improve efficiency and scientific impact.
• Senior Expert II: Stay current with advances in AI/ML, statistics, and computational methods relevant to ADME, PK/PD, and drug discovery, and help bring appropriate innovation into practice within projects and workflows.

Essential Requirements

• Advanced degree in a relevant scientific or quantitative field such as cheminformatics, bioinformatics, biomedical engineering, computational biology, computational chemistry, AI/ML in life sciences, or a related discipline.
• Senior Principal: PhD with 5+ years or MSc with 8+ years of relevant work experience applying data science in drug discovery, translational research, or related scientific environments, with a track record of leading complex initiatives and influencing scientific direction.
• Senior Expert II: Relevant work experience applying data science in drug discovery, translational research, or related scientific environments, with a strong record of independent technical contribution and expert delivery in collaborative settings.
• Senior Principal: Strong expertise in machine learning, statistics, and reproducible data science workflows, with demonstrated ability to apply them to complex scientific problems and guide others in their effective use.
• Senior Expert II: Strong expertise in machine learning, statistics, and reproducible data science workflows, with demonstrated ability to apply them independently to real scientific problems.
• Proficiency in Python and/or R, with solid software development practices including version control, testing, documentation, and production-quality coding standards.
• Senior Principal: Experience designing, developing, and deploying robust analytical applications, computational workflows, or machine learning systems, including shaping reusable solutions and technical direction in collaborative environments.
• Senior Expert II: Experience designing, developing, and deploying robust analytical applications, computational workflows, or machine learning systems in collaborative environments.
• Senior Principal: Demonstrated ability to work across multidisciplinary teams, influence stakeholders, and translate complex analytical concepts into clear, actionable insights for scientists, partners, and leaders.
• Senior Expert II: Demonstrated ability to work across multidisciplinary teams and translate complex analytical concepts into clear, actionable insights for scientists and stakeholders.
• Senior Principal: Strong communication, collaboration, and leadership capabilities, with demonstrated ability to influence decisions and help shape direction in cross-functional settings.
• Senior Expert II: Strong communication and collaboration capabilities, with the ability to influence project decisions in cross-functional settings.
• Senior Principal: Excellent understanding of drug discovery processes, with particular relevance to ADME, pharmacokinetics, pharmacodynamics, or related translational data domains, and ability to articulate the impact and value of data science in strategic terms.
• Senior Expert II: Good understanding of drug discovery processes, with particular relevance to ADME, pharmacokinetics, pharmacodynamics, or related translational data domains, and ability to apply data science effectively to relevant scientific problems.

Desirable Requirements

• Experience with discovery-stage PK modeling, ADME data interpretation, or relating preclinical properties to in vivo pharmacokinetic behavior.
• Familiarity with modern machine learning approaches such as deep learning, generative algorithms, or explainable AI in drug discovery contexts.
• Experience with modern scientific software or web application development frameworks, including JavaScript-based front-end technologies (e.g., Svelte).
• Knowledge of SQL, databases, Linux-based environments, and scalable data engineering patterns for scientific workflows.
• Experience working with small molecules, peptides, RNAs, or other modalities in discovery-stage data analysis.

This is a dual posting. The final level & title of the offer role would be determined by the hiring team based on the skills, experience & capabilities required to perform the role at the level the role has been offered

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

• Senior Expert: 102,200.00 - 189,800.00 CHF Annual
• Senior Principal: 129,500.00 - 240,500.00 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 / EEO
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.

Why Novartis:
Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people\-and\-culture

Benefits and Rewards:
Learn about all the ways we’ll help you thrive personally and professionally.

Read our handbook (PDF 30 MB)