- Entry level
- No Education
- Salary to negotiate
Job Title: Research Assistant 2
Location: Case Main Campus
Full/Part Time: Full-Time
Job ID: 8089
Working under general supervision, the Research Assistant 2 will work to investigate novel medical imaging and machine learning tools for diagnosing and characterizing disease on MRI or CT imaging. This will include defining analytical models to predict and evaluate disease response to therapy and patient survival in vivo. The Research Assistant 2 will perform experiments ranging from algorithm development and prototype implementation using existing scientific packages and platforms, supporting laboratory members and laboratory code maintenance. The research will primarily be focused colorectal cancers as well as digestive diseases (Crohn’s), and will expand the understanding of these conditions via medical imaging.
- Plan and carry out computational experiments using in vivo image data for research projects in colorectal cancers and digestive diseases. Examine compression, correction, artifact detection, and noise filtering of medical images to ensure good image quality for improved analytical performance. Conduct quantification, registration, segmentation, feature analysis, machine learning of computerized image attributes towards disease diagnosis and characterization. (20%)
- Conduct a series of experiments to evaluate metrics to quantify different image artifact problems including compression, quantization, shadowing, bias field, noise removal, ghost detection, intensity variation in medical imaging data. Examine approaches such as low pass filtering, wavelet network denoising, and intensity standardization to correct artifacts. Evaluate different classes of features for disease characterization and response prediction. (20%)
- Collect and analyze data, prepare graphs, charts and slides from experimental data for purposes of reporting. Perform analysis, which may include disease quantitation using radiomics and deep learning approaches. Maintain a database tracking multi-site image data and associated measurements and quality assessment. (20%)
- Assist in developing improved image analysis and machine learning techniques, data projection methods, or new image radiomic features for quantifying specific physiologic phenomena of colorectal cancer and digestive diseases on MRIs or CTs. Build image measures into integrated system for automated evaluation of quality of medical image data. (15%)
- Oversee Inventory. Maintain certain equipment facilities. Oversee lab code. Test, debug, modify, and document implemented algorithms to conform to published specifications. Incorporate platform functionality into existing codebase for easier use by lab. Assist in preparing detailed specifications for programs being written. Automate routine tasks. (15%)
- Train new lab members regarding standard laboratory code and experimental policies as well as basic image analysis research techniques. (10%)
Perform other duties as assigned. (
Department: Daily contact with supervisor and lab members to discuss research and maintain workflow.
University: Occasional contact with other departments to share information and collaborate on projects.
External: Limited or no contact with vendors to exchange information.
Students: Occasional contact with student employees to explain policies and procedures.
This position has no direct supervision of staff employees. Will train and direct the work of students.
Education/Experience: Bachelor of Science degree and 1 to 3 years of experience or Associate’s degree in an approved biotechnology program and 2 to 4 years of experience.
- Has knowledge of commonly-used concepts, practices, and procedures within medical imaging and machine learning domains.
- Ability to relay on instructions and pre-established guidelines to perform the functions of the job.
- Ability to implement and utilize laboratory codebase and algorithms.
- Ability to meet consistent attendance.
- Ability to interact with colleagues, supervisors, and customers face to face.
- Must demonstrate compliance with university research policies and procedures and other applicable regulatory guidelines.
- Must be able and willing to learn new computerized analytical techniques, procedures, processes, and computer gear to improve overall lab computational environment
- Previous experience working with medical imaging data. Understanding of approaches to artifact and noise detection, wavelet and texture filtering, deep learning
- Strong computational skills (MATLAB, Python, C++, ITK, VTK).
- Strong organization skills and good habit of maintaining a clean lab working environment; demonstrate attention to detail and accuracy, time management skills, and proven ability to successfully follow-through on assigned projects.
- Professional and effective verbal and written communication skills and good interpersonal skills with the ability to work and communicate with various individuals within and external to the University.
- Ability to work effectively independently and collaboratively within a team (must be highly motivated, responsible, dependable and a self-starter).
- Ability to work with sensitive information and maintain confidentiality.
- Proficiency in Microsoft Office and Jupyter Notebooks is preferred. Experience using GitHub and command line utilization is a plus.
- Must have the ability to maintain meticulous, complete, and easily retrievable laboratory code and data.
- Must have the ability to willingly learn new techniques and procedures as needed, follow established protocols or laboratory procedures and request clarification if necessary.
General laboratory environment: The lab is an open floor plan with ample desk space with computers. The lab is equipped with one personal computer per personnel member, a shared server for storing data and, a computational cluster for running experiments. The employee should expect frequent interactions with multiple lab members and must be willing to collaborate. Work requires negligible physical exertion. Little or no exposure to hazards.
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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.
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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.
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