Research Assistant I - Radiation Oncology
Core
Supports clinical trials and data science research in radiation oncology, focusing on lung cancer, by managing patient data, building AI models, and developing research software.
Role type
Research Assistant I (Clinical Research & Data Science)
Builds
Production ML models, data pipelines, and research web applications for cancer care optimization.
Domain
Healthcare / Radiation Oncology / Artificial Intelligence
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data extraction and cleaning, statistical programming, Python, SQL, Linux/Unix command line, version control (Git), containerization (Docker), clinical trial coordination, regulatory documentation management.
Preferred skills
Deep learning frameworks (PyTorch/TensorFlow), GPU model training, web application development (Flask/Django/Streamlit), medical imaging data (DICOM/CT), LLMs and RAG, cloud/HPC environments.
Technologies
Python, pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Git, GitHub, Docker, SQL, REDCap, Linux, SSH, Streamlit, Flask, Django, DICOM, CT
Responsibilities
Extract data from electronic health records; manage large lung cancer patient databases; compile and clean data from various sources; perform statistical programming on large datasets; analyze and validate empirical results; develop and maintain reproducible data-science pipelines; train and validate deep-learning models on GPU infrastructure; build and deploy research web applications; maintain clinical trial regulatory documentation.
Seniority
Entry-level (0-1 year preferred), hands-on IC
