Lupo Lab – Junior/Assistant/Associate/Full Specialist The Lupo Lab is seeking a Junior, Assistant, Associate, or Full Specialist. The primary research area will focus on applying advanced MRI methods and/or machine learning to evaluate patients with brain tumors. The candidate will be expected to develop, utilize, and extend innovative imaging and spectroscopic data acquisition, processing, and/or statistical and data analysis tools to analyze multimodal imaging and spectroscopic data. Specifically, the main tasks will involve data collection, management, and analysis, including image segmentation, spectral analysis, multi-parametric cohort analysis, building and training predictive models, and the translational application of the developed tools to study patients with brain tumors and/or other neurological diseases.
Required Qualifications:
Specialists appointed at the Junior rank must possess a baccalaureate degree (or equivalent degree) in a related science (biomedical imaging, applied mathematics, engineering, computer science, etc.) or at least four years of research experience.
Specialists appointed at the Assistant rank must possess a master's degree (or equivalent degree) or a baccalaureate degree (or equivalent degree) with three or more years of research experience.
Specialists appointed at the Associate rank must possess a master's degree (or equivalent degree) or five to ten years of research experience.
Specialists appointed at the Full rank must possess a terminal degree (or equivalent degree) or ten or more years of research experience.
Applicants must meet all the qualifications by the time of hire.
Applicant materials must list current and/or pending qualifications upon submission.
Preferred Qualifications:
MS or PhD in biomedical imaging, applied mathematics, engineering, computer science, or related field.
Have at least 3 years of research experience using MR imaging.
Previous exposure to a biomedical research laboratory environment.
See Table 24B for the salary range for this position. A reasonable estimate for this position is $57,000-$201,700.
