Machine Learning Scientist

Location: Remote job <h3><strong><span style="color:#121317">About Nucs AI </span></strong></h3><p><span style="color:#121317">Nucs AI is revolutionizing cancer care through cutting-edge AI and medical imaging technology. Founded in 2024 by a multidisciplinary team of oncologists, AI researchers, and healthcare innovators, we’re tackling one of medicine’s most pressing challenges: the growing demand for accurate, timely cancer diagnostics in the face of rising scan volumes and limited radiologist capacity.</span></p><p><span style="color:#121317">We sit at the intersection of diagnostics and treatment planning—building AI-powered tools at the convergence of medical imaging, radioligand therapy, and artificial intelligence. Starting with prostate cancer and expanding across oncology, we partner with world-leading medical institutions and pharmaceutical companies across the US, Europe, and Australia to bring precision oncology into everyday clinical practice.</span></p><p><span style="color:#121317">Our mission is to enhance diagnostic precision and expand access to expert-level cancer care, improving patient outcomes worldwide. We’re venture-backed, early-stage, and building a team that blends deep clinical expertise with engineering intensity—moving with the rigor the medical field demands and the speed the problem deserves.</span></p><p style="min-height: 1.7em;"></p><h3><strong><span style="color:#121317">The Opportunity</span></strong></h3><p><span style="color:#121317">Nucs AI is looking for a Machine Learning Scientist to deepen our ML research capabilities in clinical oncology. This is a senior, research-oriented role for someone who wants to develop novel approaches to medical image analysis, treatment outcome prediction, and multi-modal clinical data integration - and see those methods reach real clinical settings.</span></p><p><span style="color:#121317">You’ll work at the intersection of ML research and clinical application, collaborating closely with physicians, medical physicists, and experienced engineers with deep domain expertise. Together, you’ll develop methods that are scientifically rigorous and clinically meaningful. Your work will directly shape our product capabilities and contribute to peer-reviewed science.</span></p><p style="min-height: 1.7em;"></p><h3><strong><span style="color:#121317">What You’ll Do</span></strong></h3><h4><strong><span style="color:#121317">Research &amp; Method Development</span></strong></h4><ul><li><p><span style="color:#121317">Develop novel ML/DL methods for medical image analysis, including segmentation, lesion detection, longitudinal tracking, treatment response prediction, and outcome modeling</span></p></li><li><p><span style="color:#121317">Design and conduct experiments to evaluate new approaches against clinical baselines and state-of-the-art methods</span></p></li><li><p><span style="color:#121317">Stay current with the literature and propose research directions that advance Nucs AI’s product and scientific goals</span></p></li><li><p><span style="color:#121317">Publish findings in top-tier venues (MICCAI, RSNA, JNM, Medical Image Analysis) and represent Nucs AI at scientific conferences</span></p></li></ul><h4><strong><span style="color:#121317">Clinical Translation</span></strong></h4><ul><li><p><span style="color:#121317">Collaborate with clinicians and medical physicists to ensure methods are grounded in clinical reality</span></p></li><li><p><span style="color:#121317">Produce validated research outputs with documented performance benchmarks and clear handoff specifications for production engineering</span></p></li><li><p><span style="color:#121317">Contribute to clinical validation studies and evidence generation for regulatory submissions</span></p></li></ul><h4><strong><span style="color:#121317">External Engagement</span></strong></h4><ul><li><p><span style="color:#121317">Collaborate with external academic research partners on joint studies</span></p></li><li><p><span style="color:#121317">Support scientific diligence with pharma and clinical partners</span></p></li><li><p><span style="color:#121317">Contribute to Nucs AI's scientific credibility in the field</span></p></li></ul> <br> <h3><strong><span style="color:#121317">What You Bring</span></strong></h3><ul><li><p><span style="color:#121317">PhD in machine learning, computer vision, medical image analysis, biomedical engineering, or related field</span></p></li><li><p><span style="color:#121317">Strong publication record in relevant venues (medical imaging, clinical ML, computer vision)</span></p></li><li><p><span style="color:#121317">Experience structuring and executing research collaborations with academic and clinical institutions</span></p></li><li><p><span style="color:#121317">Deep expertise in deep learning architectures for image analysis (CNNs, transformers, U-Nets, etc.)</span></p></li><li><p><span style="color:#121317">Strong programming skills in Python and deep learning frameworks (PyTorch preferred)</span></p></li><li><p><span style="color:#121317">Experience working with medical imaging data (PET/CT, MRI, or similar modalities)</span></p></li><li><p><span style="color:#121317">Strong statistical foundations - experimental design, hypothesis testing, survival analysis, and clinical biostatistics</span></p></li></ul><p style="min-height: 1.7em;"></p><h3><strong><span style="color:#121317">Bonus Points</span></strong></h3><ul><li><p><span style="color:#121317">Experience with nuclear medicine imaging &amp; dosimetry (PSMA-PET, FDG-PET, SPECT)</span></p></li><li><p><span style="color:#121317">Expertise in treatment outcome prediction, survival analysis, or longitudinal modeling</span></p></li><li><p><span style="color:#121317">Experience with multi-modal data integration (imaging + clinical + genomic)</span></p></li><li><p><span style="color:#121317">Familiarity with clinical trial design and regulatory evidence requirements</span></p></li><li><p><span style="color:#121317">Prior industry experience translating research into deployed products</span></p></li><li><p><span style="color:#121317">Experience with graph neural networks, molecular representations, or drug-response modeling</span></p></li><li><p><span style="color:#121317">Experience with Generative AI in medical domain</span></p></li></ul><p style="min-height: 1.7em;"></p><h3><strong><span style="color:#121317">Why Nucs AI</span></strong></h3><ul><li><p><strong><span style="color:#121317">Mission with real impact </span></strong><span style="color:#121317">&nbsp;– Your work directly improves how cancer patients are diagnosed and treated.</span></p></li><li><p><strong><span style="color:#121317">Ground-floor opportunity </span></strong><span style="color:#121317">&nbsp;– Early-stage company, meaningful equity, and outsized influence on the direction we take.</span></p></li><li><p><strong><span style="color:#121317">World-class collaborators </span></strong><span style="color:#121317">&nbsp;– Work alongside leading oncologists, nuclear medicine physicians, and AI researchers globally.</span></p></li><li><p><strong><span style="color:#121317">Massive market tailwinds </span></strong><span style="color:#121317">&nbsp;– Radioligand therapy and AI-driven oncology are multi-billion dollar growth markets.</span></p></li><li><p><strong><span style="color:#121317">Autonomy and flexibility </span></strong><span style="color:#121317">&nbsp;– Remote-first, flexible working. We hire great people and trust them to deliver.</span></p></li><li><p><strong><span style="color:#121317">Equity upside </span></strong><span style="color:#121317">&nbsp;– Competitive equity package. We’re building something big and want you to share in it.</span></p></li></ul><p style="min-height: 1.7em;"></p><h3><strong><span style="color:#121317">How to Apply</span></strong></h3><p><span style="color:#121317">Submit your resume and a brief note on why this role and Nucs AI excite you.</span></p><p style="min-height: 1.7em;"></p><h3><strong><span style="color:#121317">Equal Opportunity</span></strong></h3><p><span style="color:#121317">Nucs AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.</span></p><p>Find more <a href="[Link Protected] Speaking Jobs in Germany</a> on Arbeitnow</a> GDPR Compliance: Sourced via verified public channels under Legitimate Interests (Art. 6(1)(f) GDPR). [Contact Info Protected]

All work completed through HarryDesk zero-commission remote freelance marketplace is protected under verified milestone escrow contracts. Once hired, payments are held safely in escrow and released upon client milestone approval.