Location: Houston, TX
Cap-Exempt H-1B Position — No lottery required
a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } The **Data Scientist** - Imaging Research role is based within the Institute for Data Science in Oncology, a multidisciplinary program at The **University of Texas MD Anderson Cancer Center** focused on applying data science and emerging technologies to improve safety, quality, and access in clinical care and operations. This role supports the Institute's surgical data science program, including translational research in image-guided surgery, with close collaboration among data scientists, engineers, and clinicians. The University of Texas MD Anderson Cancer Center is a leading institution focused on cancer care, research, education, and prevention. In this environment, the Data Scientist - Imaging Research contributes to the development and clinical translation of advanced imaging, image analysis, and registration methods. The Data Scientist - Imaging Research works closely with surgeons and scientific collaborators across UT MD Anderson, with primary areas of impact including orthopaedic surgery and neurosurgery. The Data Scientist - Imaging Research plays a key role in advancing computational approaches that support innovative, data-driven surgical care. The **ideal candidate** has an advanced academic background in science or engineering with hands-on experience in scientific software development and image analysis. This individual brings practical expertise in optimization, computer vision, and machine learning or deep learning methods applied to medical imaging, along with experience working with complex medical image datasets. Strong programming skills, statistical rigor, and the ability to communicate technical concepts clearly to both technical and non-technical stakeholders are essential for success in this collaborative research environment. **Why Us?** This role offers the opportunity to contribute directly to mission-driven resea