Imaging Research Specialist - QIAC
Full-time
MD Anderson
At The University of Texas MD Anderson Cancer Center, our mission is clear: to eliminate cancer in Texas, the nation, and the world through exceptional programs that integrate patient care, research, prevention, and education. As a global leader in cancer research and treatment, we are driven by a commitment to excellence, collaboration, and innovation. About the Quantitative Imaging Analysis Core (QIAC) The Quantitative Imaging Analysis Core is a Diagnostic Imaging-initiated resource supporting clinical and translational oncology imaging research across the institution. QIAC provides a centralized platform for quantitative imaging analytics, helping transform how oncologic imaging data is acquired, processed, and interpreted-from raw images to insightful analysis. We are seeking a dedicated Imaging Research Specialist to join our team and support this vital mission. Position Summary The Imaging Research Specialist provides specialized analytical support to QIAC by collecting, processing, and interpreting imaging data for clinical and research applications. This role collaborates with investigators, faculty, and multidisciplinary teams to ensure high-quality imaging data and reliable quantitative metrics that support oncological research. This position is remote , with occasional on-site visits based on operational needs. Key Responsibilities Quantitative Data Collection
- Assess and collect quantitative imaging data.
- Review and measure lesions at baseline and follow-up timepoints.
- Identify metastatic disease and document tumor/lesion size and location.
- Manage imaging workflow, including processing, archiving, and auto-routing.
- Upload imaging datasets to QIAC servers for review and analysis.
- Conduct user acceptance testing (UAT) for imaging processes and systems.
- Coordinate and document all imaging interpretations for clinical trial datasets.
- Assist with organization, tabulation, and analysis of imaging data.
- Collaborate under the general supervision of management and faculty leadership.
- Work proactively with faculty, investigators, and staff across departments to identify and resolve imaging issues.
- Address discrepancies in image findings in coordination with physicians.
- Apply strong analytical and problem-solving skills to resolve workflow challenges.
- Perform other tasks as assigned to support QIAC operations and institutional priorities.
- Medical, dental, and vision coverage
- On-site health and well-being programs
- Mental health and counseling resources
- Generous retirement plans with employer contributions
- Group life and disability insurance
- Tuition assistance and professional development funding
- Paid time off, holidays, and extended leave programs
- Remote and flexible work options (role dependent)
- Support for family care, including backup childcare and eldercare resources
- Access to world-class research, training, and continuing education
- Leadership and professional growth programs
- Opportunities to contribute to cutting-edge cancer research
- Work at one of the world's most respected cancer centers
- Be part of a mission-driven community focused on saving lives
- Collaborate with renowned clinicians, scientists, and innovators
- Required: Bachelor's Degree Information Technology, Computer Science, Engineering, Physics, Medical Imaging or related field.
- Preferred: Master's Degree
- Required: 1 year Experience in medical imaging or medical sciences.
- Preferred: 1 year Experience in imaging aspects of clinical trials; familiarity with oncology image-based tumor response criteria.
- Requisition ID: 182151
- Employment Status: Full-Time
- Employee Status: Regular
- Work Week: Days
- Minimum Salary: US Dollar (USD) 67,000
- Midpoint Salary: US Dollar (USD) 83,500
- Maximum Salary : US Dollar (USD) 100,000
- FLSA: exempt and not eligible for overtime pay
- Fund Type: Soft
- Work Location: Hybrid Onsite/Remote
- Pivotal Position: Yes
- Referral Bonus Available?: No
- Relocation Assistance Available?: Yes
Vacancy posted 4 days ago
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