Job
In this role, you will develop advanced AI methods for medical image analysis, conduct feasibility studies, and create robust research plans to support clinical inquiries.
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Job technologies
Your role in the 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.
- Leiten Sie Machbarkeitsstudien und dokumentieren Sie Datensätze, Methoden, Annahmen, Ergebnisse, Einschränkungen und Empfehlungen für Entscheidungsprozesse bei der Umsetzung.
- 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.
Our expectations of you
Education
- A doctorate in a relevant quantitative or clinical field such as computer science, statistics, computer vision, mathematics, or biomedical engineering is preferred; a Master's degree with equivalent research depth is also considered.
- Experience of at 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.
Qualifications
- 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.
- Starke Kommunikationsfähigkeiten in Englisch.
Experience
- Practical computer vision and medical image analysis experience.
- Knowledge of Retinal OCT or fundus imaging as well as experience in regulated environments is highly desirable.
What we offer
- 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.
- Support for public transport.
- Regelmäßige Team-Building-Events.
- Voll ausgestattete Küche mit Snacks und Getränken.
- Zugang zu einer digitalen Plattform für psychisches Wohlbefinden.
- Corporate benefits and discounts.
- Buddy program to help you get started.
- You can expect a gross annual salary starting at EUR 64,554,- (based on full-time employment, 38.5 hours/week according to the collective agreement) with a willingness to overpay depending on your qualifications and experience.
Benefits
Work-Life-Integration
Topics you will work on
Job locations
About your employer
Wien
We are a cutting-edge health technology company that was spun off from the Medical University of Vienna. Our software solutions help ophthalmologists and physicians provide precision medicine to their patients, which in turn saves eyesight. We have global customers and partners, making our technology available to people all over the world.
- 2020
- Startup
- Hybrid, Onsite
- Internet, IT, Telecommunication · Pharmaceutical Sector, Chemical Industry, Biotech · Science, Research
Employer reviews
- Team culture
- 4.3
- Engineering
- 4.4
- Career growth
- 4.6
- Working conditions
- 4.8
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