Postdoctoral Associate- Radiation Oncology
- Baylor College of Medicine
- Location: Houston, TX
- Job Number: 7329888 (Ref #: 22923-en_US)
- Posting Date: Newly posted
Job Description
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.
Work Authorization Requirement:
This position is not eligible for visa sponsorship. Candidates must be legally authorized to work in the United States at the time of application and throughout the duration of employment.
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
Baylor College of Medicine fosters diversity among its students, trainees, faculty and staff as a prerequisite to accomplishing our institutional mission, and setting standards for excellence in training healthcare providers and biomedical scientists, promoting scientific innovation, and providing patient-centered care. - Diversity, respect, and inclusiveness create an environment that is conducive to academic excellence, and strengthens our institution by increasing talent, encouraging creativity, and ensuring a broader perspective. - Diversity helps position Baylor to reduce disparities in health and healthcare access and to better address the needs of the community we serve. - Baylor is committed to recruiting and retaining outstanding students, trainees, faculty and staff from diverse backgrounds by providing a welcoming, supportive learning environment for all members of the Baylor community.
