Job
- Level
- Senior
- Location
- Graz, Linz, Vienna
- Working Model
- Hybrid, Onsite
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 65.000 to 78.000€ gross/year
Job Summary
In this role, you develop AI models and prototypes for a B2B healthcare platform, focusing on machine learning, probabilistic modeling, and LLM applications to optimize clinical processes.
Job Technologies
Your role in the team
- Healthcare meets AI: Models that truly make an impact in everyday hospital operations.
- At DaphOS, you develop AI functions for a B2B healthcare platform that enables hospitals to plan and manage their processes and staffing needs more quickly and effectively.
- Your work focuses on classical machine learning methods, probabilistic modeling, and mathematical optimization.
- A primary focus also lies on the application of Large Language Models in strategic future topics: You explore new areas of application, build robust prototypes, and work with us to identify which approaches deliver real added value for hospitals and nursing care.
- There you operate at the intersection of Data Science and Engineering and shape the AI direction of our product.
- Additionally, you are involved in an ongoing research project where we develop and test LLM applications for long-term care.
- You design and develop LLM-based features, such as Retrieval-Augmented Generation, information extraction from structured and unstructured data, or agentic workflows.
- As part of an ongoing research project, you develop and evaluate LLM applications for long-term care.
- You work closely with research partners and clinical practitioners, translating promising results into products.
- You develop robust evaluations for LLM applications (test sets, metrics, error analysis) and make data-driven decisions about models, prompts, and architectures.
- You collaborate with the backend team to integrate models into our platform via clean interfaces (e.g., REST APIs in Python) and ensure monitoring in the production environment.
- You select suitable models (commercial APIs and open-weight models) while considering quality, costs, latency, and data privacy.
- You work on forecast and optimization models, for example for patient flows and personnel planning.
- You develop features together with our backend and frontend engineers as well as product management and actively contribute your expertise to the further development of our AI strategy.
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Our expectations of you
Education
- You have a degree in a natural science or technical field (Physics, Mathematics, Computer Science, Statistics, or similar) or comparable proven experience in Data Science, ML, or AI.
- Plus: You are familiar with data from the healthcare sector (e.g., HL7/FHIR) or regulations such as GDPR and the EU AI Act.
Qualifications
- You are proficient in Python programming and have already integrated models into backend systems yourself (e.g., with FastAPI, Docker, CI/CD).
- You approach evaluation methodically and can clearly assess and communicate the limitations of models.
- You speak German and/or English at least at C1 level.
- Clear plus: You have already independently developed classical ML models, time series forecasts, or optimization models.
Experience
- You bring approximately 5 years of professional experience in Data Science or Machine Learning, with demonstrable practical experience in LLM applications.
- Plus: You have operated Open-Weight models (e.g., vLLM, Ollama) or have experience with Fine-Tuning.
- Additional plus: You have research experience (PhD, publications, or funded projects) and enjoy working with partners from academia and clinical practice.
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What we offer
- Attractive salary, commensurate with qualifications, experience, and IT collective agreement (38.5 hours/week).
- Flexible working model (hybrid) - the position can be based in Graz, Vienna, or Linz, preferably in Graz - and you can work up to 2 days a week from home (from Austria).
- The opportunity to participate in applied research and directly implement the results into clinical and nursing practice.
- An environment where you can make an impact from day one - no long ramp-up times.
- Short decision-making paths and direct influence on the AI orientation of the product.
- Many opportunities for professional and personal development, especially at the intersection of Data Science and Engineering.
- Excellent working atmosphere and regular team events.
- The classification is based on the IT salary scale in ST2 standard level starting at €4,611 gross/month (based on 38.5 hours/week). We will determine your exact position during the interview. We offer above the standard depending on qualifications and experience.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Food & Drink
Topics You Will Work On
Job Locations
About Your Employer
DaphOS
Linz, Graz
Die DaphOS KI Software Plattform bietet Einblicke in zukünftige Entwicklungen und unterstützt Führungskräfte bei operativen und strategischen Entscheidungen im Gesundheitswesen. Die Plattform identifiziert frühzeitig Risiken und Chancen und liefert dafür konkrete Handlungsvorschläge. So können beispielsweise Personalengpässe frühzeitig erkannt, Prozesse optimiert und der Ressourceneinsatz verbessert werden.
Description
- Company Size
- 1-49 Employees
- Founding Year
- 2022
- Language
- German, English
- Company Type
- Startup
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Healthcare, Social Sector, Internet, IT, Telecommunication, Science, Research
Senior Data Scientist - Applied AI
- Salary
- 65.000 to 78.000€ gross/yearEstimated net salary based on the gross salary in the job ad.43.766 to 50.691 € net/year
- Location
- Graz, Linz, Vienna
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
