Job Description
The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position SummaryThe data analyst will support imaging-related research conducted by investigators in the Department of Radiology. This position offers the opportunity to gain valuable experience using advanced medical image processing techniques and to apply these methods in the study of emerging cancer therapies. ResponsibilitiesThe Candidate will work collaboratively and will interface with faculty, research scientists, and trainees forming a diverse imaging and data science team.Collecting and organizing large datasets with clinical imaging data; applying, testing, validating and extending advanced image processing algorithms and protocols on medical images from various clinical studies in a distributed cloud computing environment.Gathering, organizing and verifying final quantitative and imaging results.Performing statistical analyses and hypothesis testing using advanced machine learning methods.
Responsibilities + Skills
Education
M.Sc. degree, preferably in computer science, statistics, biomedical engineering, mathematics or a related discipline with an emphasis in computational methods, with 1 to 2 years of hands-on experience conducting image analysis, bioinformatics, and statistical analysis research.
Experience
Strong computational/programming skills (advanced knowledge of C/C++ and Python, version control, statistical analysis packages, experience in Linux/Unix platforms and shell scripting) is a must.Organizational and communication skills are also essential for the position.Experience with medical images and HPC and cloud computing is a plus.