Job
- Level
- Senior
- Ort
- Wien
- Arbeitsmodell
- Hybrid, Onsite
- Job Feld
- Software, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- ab 64.554 € Brutto/Jahr
Job Zusammenfassung
In dieser Position entwickelst du fortschrittliche KI-Methoden für die medizinische Bildanalyse, führst Machbarkeitsstudien durch und erstellst belastbare Forschungspläne zur Unterstützung klinischer Fragestellungen.
Job Technologien
Deine Rolle im Team
- We are looking for a highly skilled and motivated Senior AI Scientist (m/f/d) to lead rapid prototyping and evidence generation for innovative AI solutions for healthcare and clinical.
- In this role, you will translate clinical, product and pharmaceutical questions into rigorous research plans, develop and evaluate advanced machine-learning methods, and assess their feasibility using medical-imaging and longitudinal clinical data.
- You will define robust benchmarks, conduct statistical, error and robustness analyses, and produce reproducible evidence for scientific publications, validation activities and delivery decisions.
- Working closely with AI, data, clinical and product specialists, you will help transfer promising research into deployable solutions.
- Rapidly prototype and evaluate AI methods for retinal-image analysis, disease progression, forecasting, correlation and biomarker quantification.
- Translate clinical, product and pharmaceutical research needs into clear research questions, hypotheses and experimental plans.
- Lead feasibility studies and document datasets, methods, assumptions, results, limitations and recommendations for delivery decisions.
- Produce reproducible evidence for scientific abstracts, publications, validation reports and scientific communication with partners.
- Design, train, evaluate and refine machine-learning and deep-learning models for medical-image segmentation, classification, quantification, forecasting and longitudinal analysis.
- Define benchmarks, perform robustness and error analyses, and transfer validated methods into deployable Pharma or Provider solutions with AI, data, clinical and product teams.
Unsere Erwartungen an dich
Ausbildung
- Doctorate in a relevant quantitative or clinical field like computer science, statistics, computer vision, mathematics or biomedical engineering is preferred; a Master's degree with equivalent research depth is also considered.
- Experience of least 2 years with a PhD or 5 years with a Master's degree in applied AI research, medical-imaging or clinical-data-science with scientific ownership.
Qualifikationen
- Strong Python skills for machine learning, deep learning, image analysis and statistical computing.
- Expertise in experimental design, statistical inference, model validation, reproducibility and longitudinal or retrospective clinical analysis.
- A record of publications, conference abstracts, technical reports or comparable scientific outputs.
- Strong communication skills in English.
Erfahrung
- Practical computer-vision and medical-image-analysis experience.
- Retinal OCT or fundus-imaging knowledge as well as regulated-environment experience is highly desirable.
Unser Angebot
- Room for your own ideas and possibility to grow in your role.
- Friendly and supportive team culture that values diversity.
- Hybrid work model (home office + in-person collaboration).
- Flexible working hours for better work-life balance.
- Well-equipped workplace in a charming office in central Vienna.
- Public transport support.
- Regular team-building events.
- Fully stocked kitchen with snacks and drinks.
- Access to digital mental well-being platform.
- Corporate Benefits and discounts.
- Buddy program to help you get started.
- You can expect a gross yearly salary starting at EUR 64.554,- (on full-time basis, 38.5 hours/week based on the collective agreement) with the willingness to overpay according to your qualification and experience.
Benefits
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
RetInSight GmbH
Wien
Wir sind ein innovatives Gesundheitstechnologie-Startup der Medizinischen Universität Wien (Christian Doppler Labor OPTIMA) mit Kunden und Partnern auf der ganzen Welt.
Description
- Gründungsjahr
- 2020
- Unternehmenstyp
- Startup
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom, Pharma, Chemie, Biotech, Wissenschaft, Forschung
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