Gehalt: ab EUR 4.355 brutto/Monat Become part of a vital chain and contribute to our common goal of making people’s lives better.
What we build Most companies find out about supplier insolvencies, cyber attacks, factory fires or floods that affect their supply chain whe
Reporting to the Head of Quants you will be working closely with your colleagues in Quants but also various product owners, developers and traders company wide.
AI Large Language Model (LLM) Technology Architect Career Level: Associate Manager / Specialist YOU ARE As a hands-on AI/LLM Architect, you
Development of AI/ML models; - AI solution analysis, design and implementation; - Deploy machine learning models and AI solutions into produ
Wir schreiben dir, sobald eine neue geprüfte Stelle in Wien dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Betreut die BioNMR-Anlage, schult Nutzer, baut Python/R-Datenpipelines und integriert ML-Werkzeuge in die Spektrenverarbeitung.
As a Data Scientist in Pricing, you will play a key role in shaping the future of insurance pricing through advanced analytics, machine lear
Designing and building reliable data products and pipelines integrating production, machine, commercial, and enterprise data across multiple
Berät Behörden zu KI-Anwendungsfällen, entwirft Architekturen für KI- und Datenpipelines, begleitet PoCs und MVPs und schult Verwaltungsteams.
zum Glück: Du konzipierst, entwickelst und implementierst ML-, Advanced-Analytics- und GenAI-Lösungen entlang des analytischen Lifecycles un
Du möchtest durch deine datengetriebene & analytische Denkweise, Problemlösungskompetenz und Affinität für moderne KI-Lösungen die spannends
KI- und Datenanwendungen mit Vision Nutze dein technisches Fachwissen und deine Leidenschaft für moderne Technologien, um die nächste Genera
Leitung und Koordination von SAP AI- und Entwicklungsprojekten unserer Kunden Konzeption, Entwicklung und Implementierung innovativer Lösung
OeAW - Discovering the future As a central non-university institution for science and research, the Austrian Academy of Sciences - OeAW has
Entwicklung und Wartung von End-to-End ML-Pipelines für Training, Evaluierung und Implementierung für Batch- und Echtzeitanwendungen Produkt
Our client is a leading supplier of software products in the field of eCustoms internationally.
Gehalt: ab EUR 3.958 brutto/Monat 2 Senior Spezialist:in CBM & Data-Driven Maintenance (IoT & Machine Learning) ÖBB-Techn.
zum Glück: Du bist für das Entwerfen, Entwickeln und Implementieren von ML-basierten Lösungen in einer produktionsbereiten Umgebung unter Ve
Deine Hauptaufgabe ist die Entwicklung und Wartung moderner Applikationen.
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Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
The minimum gross salary according to the collective agreement (chemical industry) is EUR 4.355,55 based on 38 hours per week (full-time). As we strive to offer a salary that reflects your individual profile and qualifications, there is a willingness to pay above the minimum salary. It´s in our blood We live diversity and stand for equal opportunities as an employer!
We therefore look forward to receiving your application – regardless of age, gender, origin, sexual orientation, and religion. Do you have any questions? Then get in touch with your contact person.
Johanna Proksch, MA Octapharma Pharmazeutika Produktionsges.m.b.H. Oberlaaer Straße 235, 1100 Wien T: +43 (1) 610 32 – 4299 Want to find out more about us? Visit our website Octapharma Career and follow us daily on LinkedIn .
About Octapharma Octapharma is one of the largest human protein manufacturers in the world, developing and producing human proteins from human plasma and human cell lines. We employ more than 11,000 people worldwide to support the treatment of patients in 120 countries with products across three therapeutic areas: Immunotherapy, Haematology and Critical Care. With seven R&D sites and five state-of-the-art manufacturing facilities in Austria, France, Germany, and Sweden, Octapharma also operates over 200 plasma donation centres across Europe and the US.
With four decades of experience, we are committed to advancing patient care worldwide. Apply now » Find similar jobs: Global Website Data Privacy Statement Legal Statement Opens in a new tab. Opens in a new tab. © 2026 Octapharma AG × When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies.
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Gehalt: ab EUR 4.355 brutto/Monat Become part of a vital chain and contribute to our common goal of making people’s lives better. Octapharma is one of the largest human protein manufacturers in the world, developing and producing medicines sourced from human plasma and human cell lines. We are a privately-owned company, where the warmth of family meets the scale of a global organisation.
With over 1700 employees, the Octapharma site in Vienna is the largest production site, and successful research and development location. Your main tasks and responsibilities Develop and implement the global quality strategy, oversight models and frameworks for Clinical Data Management, Governance, Analytics, Biostatistics, Digital Technologies and AI-enabled systems Provide quality leadership for digital transformation initiatives, e.g. emerging technologies, including machine learning and generative AI applications to ensure data governance, data integrity and quality-by-design principles are embedded in digital processes Drive risk-based analytics to proactively identify and manage quality risks through advanced analytical methodologies and data-driven insights Evaluate AI governance controls, model lifecycle management, training data integrity, explainability, bias mitigation, and change management Provide independent quality assessment of AI use cases in clinical development and operational processes Monitor evolving regulatory expectations related to AI in regulated environments Act as a trusted advisor to Quality, Clinical Development, Data Sciences, Digital Innovation, and Regulatory teams and present Quality Assurance in governance committees and strategic initiatives Mentor QA auditors and quality professionals in digital and AI auditing methodologies Lead and conduct global GxP activities and audits of CROs and technology vendors (Clinical Data Management, Biostatistics and Statistical Programming, Electronic Data Capture (EDC) systems, Clinical databases, AI/ML-enabled platforms, Computerized systems and cloud-based technologies) Your expertise and ideal skill set Completed degree in Life Sciences, Statistics, Computer Science, Data Science, Quality Management, or related discipline At least 10 years of working experience in the Pharmaceutical or CRO Industry Extensive GxP Quality Assurance and auditing experience (e.g. Clinical Data Management, Biostatistics and Statistical Programming, Computerized Systems Validation, Data Integrity) Demonstrated experience assessing AI/ML-enabled systems and digital technologies Experience in supporting FDA, EMA, MHRA and other regulatory inspections Excellent stakeholder management skills with the ability to influence senior internal and external partners Excellent organizational skills, a proactive mindset and the ability to manage multiple strategic priorities Fluent in English, German is a plus (written and oral) Willingness to travel internationally as required Your department – where you make an impact We, the Research & Development unit, conduct preclinical and clinical research to develop new products and ensure their safe and effective use.
Our ultimate focus in our daily work is to enhance patient health and safety. Thrive with us Company restaurant & meal subsidy Training & further education Health promotion Parking spaces and good public transport connections Company and team events Enjoy these attractive benefits! You can find all offers here:
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Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur Originalanzeige23 geprüfte Stellen bei 17 Arbeitgebern. Modelle bauen, trainieren und verbessern: von klassischem Machine Learning über Computer Vision bis zum Feinschliff großer Sprachmodelle.