Location: Houston, TX
Cap-Exempt H-1B Position — No lottery required
## **Summary** The Department of Radiation Oncology at the Baylor College of Medicine is recruiting for a Postdoctoral Associate with specialization in AI-modeling, Monte Carlo simulation, and coding. Postdoctoral Associate will work alongside a multidisciplinary team, leveraging artificial intelligence and computational methodologies to optimize treatment plans, enhance patient outcomes, and innovate radiation therapy techniques. Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates. ## **Job Duties** 1. AI-Modeling for Treatment Planning: - Develops, optimizes, and validates AI-based models to assist in image analysis, radiation outcomes prediction and adaptive radiation applications. - Works closely with our faculty to understand clinical needs and implement AI solutions to address specific challenges. 2. Monte Carlo simulation for development of new therapy techniques - Develops Monte Carlo code to simulate Brachytherapy radioactive seeds, assist in Brachytherapy treatment planning and dose analysis. - Works closely with our faculty to implement simulated results in the clinic and develop novel treatment methods. 3. Data Management & Analysis - Manages and analyzes vast datasets related to radiation treatments, ensuring data integrity, consistency, and security. - Collaborates with data scientists to identify trends, patterns, and opportunities for improvement. 4. Coding & Software Development: - Codes, tests, and refines software applications tailored for the radiation oncology domain and particularly related to imaging and dose DICOM integration in AI-models. - Interfaces with existing software platforms, ensuring smooth integration of AI-driven tools. 5. Collaborative Research: - Engages in research activities, co-authoring publications, and presenting findings at relevant conferences and workshops. - Collaborates with researchers from other departments and institutions on joint initiatives.