20 beste Stellen als solution engineer (ai startup) in berlin, be – aktuell auf Personalsuche

Physician Annotator - Nuclear Medicine Clinical AI (Part-Time/Contract)
Nucs AI —Berlin
- Vollzeit
- Homeoffice
- Künstliche Intelligenz
- Flexible Arbeitszeiten
Direkt bewerben
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- 100.000 € – 120.000 € pro Jahr
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Frontend Engineer - Banking Platform (m/f/x)
Scalable GmbH —Berlin
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Senior IT Security Manager
Cosuno —Berlin
- 80.000 € – 100.000 € pro Jahr
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2 Tage
UI/UX Designer (f/m/d)
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SAP Berater für S/4 & Schnittstellen für KI Procurement Solutions
Mercanis —Berlin
- 80.000 € – 130.000 € pro Jahr
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Senior Partner Solution Engineer - SAP
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3 Tage
Senior Data Scientist - Europe
Xenon7 —Berlin
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Engineering Manager (m/f/d) Hospital
voize —Berlin
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Senior Solutions Architect
Automat-it —Berlin
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Senior Full Stack Engineer (f/m/x) - Government Solutions
LiveEO GmbH —Berlin
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Product Engineer
Clera —Berlin
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Nelly Solutions —Berlin
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Kombo Technologies —Berlin
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Product Manager – Trade Intelligence (B2B SaaS Startup)
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Data Platform Architect (f/m/x)
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Senior Pricing Analyst, AWS Monetization
Amazon Web Services Development Center Germany GmbH —Berlin
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Enterprise SDR (m/w/d)
Beam AI —Berlin
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Technical Account Manager, German speaking
Wiz —Berlin
- Informatik
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solution engineer (ai startup) jobs near berlin, be

Physician Annotator - Nuclear Medicine Clinical AI (Part-Time/Contract)

Nucs AI
Berlin

Direkt bewerben

Details zur Stelle

Vollzeit

Leistungen

Flexible Arbeitszeiten

Qualifikationen

Produktentwicklung
Künstliche Intelligenz

Vollständige Stellenbeschreibung

About Us

Nucs AI is a pioneering MedTech startup focused on transforming prostate cancer care through advanced AI-driven software solutions. Our mission is to deliver personalized treatment options that enhance patient outcomes and streamline clinical workflows. We collaborate with leading medical institutions and pharmaceutical companies globally to achieve groundbreaking results in patient care.

Role Overview

Nucs AI is entering a significant phase of growth as we expand our capabilities across nuclear molecular imaging and broaden the clinical applications of our AI-driven products. As we scale, we are strengthening our clinical annotation and validation efforts to ensure our models remain accurate, relevant, and tightly aligned with real-world oncology care. To support this expansion, we are seeking an experienced Physician Annotator to play a critical role in the development and continuous improvement of our clinical AI solutions.

This role combines hands-on nuclear medicine imaging study review, structured clinical annotation, and thoughtful product feedback to ensure AI models are clinically accurate, reliable, and aligned with real-world care delivery. The Physician Annotator will serve as a key bridge between clinical practice, data science, and product teams - bringing practical expertise to annotation standards, model validation, workflow evaluation, and performance refinement.

As part of a fast-moving, clinically grounded AI team, you will directly contribute to how advanced imaging technologies are translated into trusted tools that support physician decision-making and improve cancer care delivery at scale.

Key Responsibilities

Clinical Expertise

As a subject matter expert contribute to the development and refinement of annotation protocols and clinical guidelines for different use cases.
Identify edge cases, ambiguities, and potential sources of bias in clinical data and model behavior
Participate in applied clinical AI research, including hypothesis development and evaluation of model performance.
Assist in generating research insights that may inform internal studies, publications, or regulatory documentation

Clinical Annotation & Validation

Perform reviews of nuclear medicine imaging exams and provide clinical insight and annotations to support AI model training and refinement. Clinical review tasks include review of studies with and without AI assistance for identification and delineation of areas of interest on a variety of nuclear medicine images (e.g., FDG, PSMA-PET/CT, SPECT) with precision and accuracy.
Validate AI outputs for clinical accuracy, safety, and relevance across defined use cases.
Review model errors and edge cases; provide structured clinical insights to improve performance.
Advise on clinically meaningful metrics, thresholds, and evaluation criteria.

Strategic product feedback

Provide concise, actionable clinical feedback on product features and workflows.
Advise product teams on feature prioritization based on clinical impact, risk, and feasibility.
Support retrospective and prospective analyses to assess clinical validity and real-world utility of AI models.
Evaluate usability and workflow integration from a clinician’s perspective.

Cross-Functional Collaboration

Collaborate asynchronously with clinical, product, and data science teams.
Serve as a part-time clinical advisor supporting rapid iteration and informed decision-making.

Why Join Nucs AI

Work at the frontier of clinical AI: Help advance next-generation oncology tools in nuclear molecular imaging.
Have real clinical influence: Your work and feedback directly shape model performance, product behavior, and clinical reliability.
High scientific rigor: Contribute to clinically grounded development with a strong focus on safety, accuracy, and real-world validity.
Collaborate with a high-caliber team: Work closely with clinicians, engineers, and data scientists who move fast and value clarity.
Flexible by design: Part-time, contract, and fully remote with flexible hours (location restrictions may apply).
Mission that matters: Help improve how cancer care is delivered - at scale, and with real patient impact.

Required Qualifications

ABR/ABNM Board certified physician with minimum 3 or more years of experience in Nuclear Medicine (or Diagnostic Radiology with subspecialty certification in Nuclear Medicine).
Active, unrestricted medical license in the US.
Possesses demonstrated expertise in interpreting PET imaging for radioligand tracers such as FDG, PSMA, and SSTR, and in radioligand therapies.
Exceptional attention to detail and a commitment to producing high-quality work.

Preferred Experience

Prior experience with healthcare AI, digital health, or clinical informatics.
Experience with data annotation, clinical validation, or quality review.
Familiarity with ML concepts, model evaluation, or human-in-the-loop systems.
Experience advising on product strategy or clinical product development.

Direkt bewerben

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Ich möchte aktuelle Job-E-Mails für Stellen als solution engineer (ai startup) in berlin, be erhalten

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