Data Scientist Data Engineer

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 were tackling one of medicines 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. Were 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.

• 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.

• A masters 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

• 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.

• 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. Were building something big and want you to share in it.

Submit your resume and a brief note on why this role and Nucs AI excite you.

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.