Postdoctoral Associate- Radiation Oncology

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.

6. Continuous Learning & Training:

• Stays updated with the latest advancements in AI, computer science, and radiation oncology.
• Provides training to departmental staff on the use and interpretation of AI-driven tools and software.

7. Safety & Compliance:

• Adheres to all BCM regulations and guidelines, ensuring that all AI tools meet medical and ethical standards.
• Works closely with the BCM Institutional Review Board and adhere to patient data privacy standards.

Minimum Qualifications

• MD or Ph.D. in Basic Science, Health Science, or a related field.
• No experience required.

Preferred Qualifications

• Proficiency in AI modeling techniques and tools, with a demonstrated track record in real-world applications.
• Strong coding skills, preferably in Python, C++, MATLAB, and other relevant languages.
• Experience with cloud computing and big data analytics platforms.
• Familiarity with medical imaging data formats (DICOM, NIfTI) and related software tools.
• Familiarity with any Monte Carlo simulation package (EGS, MCNPX, GEANT4) will be an advantage.
• A background in radiation oncology or medical physics will be an advantage.
• Excellent written and verbal communication skills.