The American College of Radiology is a professional association serving over 42,000 members nationwide. Consistent with the ACR’s mission to advance the practice of radiology and improve the health outcomes of the populations we serve, the ACR’s Center for Research and Innovation (CRI) has been a world leader in radiology clinical research for over 50 years. Over this period, the CRI has conducted clinical research trials and other research projects that have transformed the practice of radiology, informed the development of clinical practice standards, led to new device approvals, and changed healthcare policy.
The CRI is the core radiology resource for NCI multicenter clinical trials involving diagnostic or therapeutic radiology. And, through active research committees in neuroradiology, cardiology, oncology, and pediatrics, the CRI has developed and delivered a diverse range of research studies in partnerships with academia and commercial sponsors. Research studies range from prospective clinical trials to retrospective reader studies, novel imaging methods and imaging software, validation of biomarkers, radiomic feature analysis, and AI algorithm development and validation.
Based on these strategic objectives, ACR is seeking a Imaging Data Analyst to support the ACR study initiatives across the College.
As a member of the ACR team, you will:
- Build, implement, and manage image preprocessing, segmentation, and annotation workflows for multiple research projects.
- Develop algorithms and statistical models and perform statistical analyses appropriate to data and reporting requirements.
- Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data.
- Prepare detailed reports, visualizations, and documentation to communicate image processing pipelines to stakeholders.
- Implement best practices and emerging technologies to enhance project outcomes.
- Collaborate with internal and external partners on data collection and analysis methods. Manage vendor relationships to achieve win-win outcomes.
- Support grant and manuscript writing.
Qualified candidates will possess the following:
- 10+ years of related experience preferred.
- Masters preferred Bachelor’s required in Life Science, Mathematics, Applied Mathematics, Electrical/Computer Engineering or Physics.
- Experience developing and implementing machine learning algorithms for image segmentation, classification, and predictive modeling required.
- Expertise with image pre-processing and segmentation for biomarker extraction; specifically, radiomic feature extraction - selection, dimensionality reduction, and model development and validation required.
- Experience integrating Python-based image processing and analysis pipelines with MiM or similar platforms preferred.
- Experience with shell scripting for automating workflows and managing data processing tasks required.
- Experience integrating AI and machine learning models into image analysis workflows required.
- Experience developing neural network models and applying principal component analysis (PCA) and elastic net regularization techniques preferred.
If you would like to put your experience to great use in a professional team-oriented environment, please apply online. To learn more about ACR’s rewarding employee experience, culture, and benefits, visit: https://www.acr.org/About-ACR/Work-With-Us
ACR is committed to a total rewards compensation philosophy that includes base salary in addition to our full suite of comprehensive benefits (https://www.acr.org/-/media/ACR/NOINDEX/HR/ACR-Benefits-Overview.pdf). ACR’s goal is to pay competitively and equitably. It is typical for individuals to be hired in the entry to middle of the range for their role, and compensation decisions depend on each case’s circumstances. A reasonable estimate of the annual compensation range for this position is $96,200-128,300.
ACR offers a rewarding employee experience: innovative culture, professional growth potential, competitive compensation and an exceptional benefits package, including a defined contribution pension plan, 403(b); generous paid time off package; insurance plans with the leading providers; flexible spending; tuition reimbursement; training opportunities; and wellness reimbursement.
