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About Nucs AI 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. 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. 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. What You'll Do Build auditable data pipelines for large clinical, diagnostic, and medical imaging datasets in the cloud. Own statistical analysis across clinical studies, diagnostic performance, model evaluation, and data quality. Apply classical machine learning and deep learning methods to data analysis problems. Automated ontology induction from medical documents using large language models. Build dashboards and data observability tooling. Maintain strong data lineage, provenance, traceability, and reproducibility across data workflows. Produce analyses and supporting evidence that hold up in regulatory submissions and audits. What We're Looking For A master's degree or PhD in computer science, data science, engineering, mathematics, statistics, physics, economics or a related discipline 3+ years of hands-on experience in data engineering or a closely related field, with demonstrated development of production-grade data solutions Proficiency in SQL and Python and software-development standards such as Git-based workflows, automated testing, code reviews and CI/CD Comfort working with medical imaging formats including DICOM and NIfTI. Practical experience with classical machine learning and explainable ML. Working fluency with deep learning and modern LLM tooling. Experience with cloud data infrastructure. We use GCP, but equivalent platforms are fine. A strong working understanding of data lineage, provenance, traceability, and reproducibility. Unusual attention to detail around data completeness, validity, consistency, and edge cases. Flexibility at adapting to new technologies Awareness of good software practices Strongly Preferred Experience with medical imaging -clinical trials, pharmaceutical, healthcare or another regulated industry is an advantage Experience with knowledge graphs / temporal knowledge graphs Experience producing statistical analyses or technical evidence used in a regulatory submission. Experience with model interpretability techniques such as SHAP. Why Nucs AI Mission with real impact – Your work directly improves how cancer patients are diagnosed and treated. Ground-floor opportunity – Early-stage company, meaningful equity, and outsized influence on the direction we take. World-class collaborators – Work alongside leading oncologists, nuclear medicine physicians, and AI researchers globally. Massive market tailwinds – Radioligand therapy and AI-driven oncology are multi-billion dollar growth markets. Autonomy and flexibility – Remote-first, flexible working. We hire great people and trust them to deliver. Equity upside – Competitive equity package. We’re building something big and want you to share in it. How To Apply Submit your resume and a brief note on why this role and Nucs AI excite you. Equal Opportunity 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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.