Senior AI Scientist (m/f/d)

RetInSight GmbH

Wien

Hybrid

EUR 58,000 - 71,000

Full time

14 days+

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Benefits offered by this job

Hybrid work model
Central Vienna office
Public transport support
Team events

Job summary

RetInSight GmbH in Vienna seeks a Senior AI Scientist (m/f/d) to lead rapid prototyping and evidence generation for healthcare AI. You will translate clinical questions into rigorous research plans and develop machine-learning methods on medical imaging and longitudinal data.

You will collaborate with AI, data, clinical and product teams to produce reproducible evidence for publications and deployment decisions, shaping solutions for providers and pharma.

Qualifications

  • PhD in quantitative/clinical field preferred or Master's with equivalent depth.
  • Strong Python skills for ML, image analysis and statistics.
  • Experience in medical-imaging or clinical-data-science with scientific ownership.

Responsibilities

  • 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 ML and DL 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.

Skills

Python
Machine learning
Deep learning
Medical imaging
Longitudinal analysis
Experiment design
Statistical inference
Reproducibility
Clinical communication

Education

PhD in quantitative/clinical field
Master's with research depth

Job description


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. The ideal candidate combines scientific depth, strong machine-learning and medical-image-analysis expertise, and a collaborative mindset with a passion for turning research into meaningful healthcare impact.


Your responsibilities will include:

  • 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.
Your profile
  • 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
  • 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
  • Practical computer-vision and medical-image-analysis experience
  • Retinal OCT or fundus-imaging knowledge as well as regulated-environment experience is highly desirable
  • A record of publications, conference abstracts, technical reports or comparable scientific outputs
  • Strong communication skills in English
  • 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)
  • 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.

About us

We are a spin-off of the Medical University of Vienna with the aim to bring the breakthroughs of science to the society and each individual, anywhere and anytime. Our expertise builds on more than 15 years of tele-ophthalmology and AI-based retinal image analysis. As pioneers in the field, we are developing cloud-based transformational AI solutions to improve patient outcomes, empower physicians to increase clinical efficiency and reduce healthcare costs addressing the leading eye diseases of our times. With your contribution we will protect millions of patients from irreversible vision loss and blindness.

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