The Imaging iNformatics for interVentions Laboratory (INVent Lab) at Case Western Reserve University (CWRU) is seeking a research associate who will be working on development of image analytic/machine learning algorithms for interventional applications in gastrointestinal cancers and diseases. Applications will include problems in image-guided interventions, directed guidance, and quantitative evaluation and prediction of response to treatment (radiotherapy, chemotherapy, medical therapy, focal ablation).
Research projects will involve dealing with large scale data sets and developing algorithms and computing technologies to process imaging data, extract computerized features, and analyze radiographic and digitized histology images using machine and deep learning methods. Knowledge of extensive coding in MATLAB/Python/C++ and prior experience with medical imaging or machine learning is desired. He/she will have the opportunity to be involved in multiple NIH funded projects at the School of Medicine as well as acquire new skills and expertise. The Research Associate will have a chance to present and apply for a multitude of conferences and seminars to showcase his/her research
1. Organize, design, and implement image analysis architectures for generation and processing of medical imaging data (20%)
2. Develop new and adapt existing algorithms for data analysis and image processing (20%)
3. Optimize new ways to extract features and use machine learning algorithms for selecting predictive features (20%)
4. Associate findings with clinical or preclinical data and work on adapting the workflow in the clinical setting for the research (10%)
5. Generate documentation and version control for software, datasets, and analyses (10%)
6. Assist in the preparation of and/or lead the development of manuscripts, preliminary data, experimental design, and methodology sections for manuscripts and grant proposals (10%)
7. Interact with graduate students, post-docs, software developers, pathologists and oncologists in support of research projects and analyses (5%)
8. Participate in, and present research findings at national and international conferences (5%)
1. Perform other duties as assigned.
Department: Daily interaction with INVent, BRiC, and CCIPD lab members (team environment) (66+%)
University: Daily interaction with Satish Viswanath, PhD, Biomedical Engineering (PI). Weekly or monthly interaction with SOM researchers from Radiology, Pathology, Surgery, Oncology, or Gastroenterology who are co-investigators on active projects
External: Weekly or monthly interaction with collaborators from Radiology, Pathology, Surgery, Oncology, or Gastroenterology at CCF or the VA, as well as other institutions
Students: Daily interactions with students who are members of INVent, BRiC, or CCIPD.
Applicants must have a Ph.D. degree and have demonstrated excellent qualifications in research.
1. PhD degree in in Biomedical Engineering, Computer Science, Electrical Engineering or related field
2. Research background and relevant experience in one or more of: medical image analysis, computer vision, image registration, pattern recognition, machine/deep learning, and/or feature extraction
3. Command of programming platforms as MATLAB
4. Command of scripting languages such as Python, C++
5. Knowledge of command line operation and LINUX/UNIX operating systems
6. Basic knowledge of statistics
7. Strong written and verbal communication skills
General office environment. Limited manual dexterity required. Work requires negligible physical exertion with no exposure to hazards.
Interested candidates can send a copy of their CV to firstname.lastname@example.org
In employment, as in education, Case Western Reserve University is committed to Equal Opportunity and Diversity. Women, veterans, members of underrepresented minority groups, and individuals with disabilities are encouraged to apply.
Case Western Reserve University provides reasonable accommodations to applicants with disabilities. Applicants requiring a reasonable accommodation for any part of the application and hiring process should contact the Office of Inclusion, Diversity and Equal Opportunity at 216-368-8877 to request a reasonable accommodation. Determinations as to granting reasonable accommodations for any applicant will be made on a case-by-case basis