Duties: Responsibilities will include providing image processing, data analysis and statistics support across research projects, such as developing image analysis pipelines (using Python and other scripting languages), documenting, and maintaining research data files, perform data processing and quality assurance, management of data needed for analysis, and image analysis using software packages (i.e., Matlab, R, Trackviz, FSL etc). In addition, the data analyst will be expected to read and review related biomedical and clinical research literature, communicate results to lab members and clinical collaborators, and contribute in writing and editing of statistical methods sections of manuscripts and abstracts for presentations and publications.
The successful applicant will join a vibrant collaborative research environment, will work closely with clinical investigators in cancer traumatic brain injury and autism, biostatisticians, and computational researchers, and will gain a first-hand experience of our diffusion imaging and connectomics program. Collaborators include faculty in the departments of Radiology, Neurosurgery, Neurology and Biostatistics, Abramson Cancer Center and Children's Hospital of Philadelphia, among others. Dr. Verma's is a faculty in the Section of Biomedical Image Analysis within the Center for Biomedical Image Computing and Analytics (CBICA). Work in Dr. Verma's group focuses on developing methods for diffusion image analysis and connectomics, incorporating novel imaging biomarkers into predictive models to improve personalized clinical decision making for tumor surgery and radiation planning, as well as diagnostic and prognostic markers of autism and traumatic brain injury.
Position is contingent on continued funding.
Qualifications: A Bachelor's Degree and 1 to 2 year of experience or equivalent combination of education and experience is required.
Master's degree is preferred. Background in mathematics, engineering, biotechnology, statistics, biostatistics or related field. Additional experience in in biomedical research, especially imaging research or specifically diffusion imaging is preferred.
Experience with statistical packages like R, etc, programming languages like Python and C++, and familiarity of Unix platform is desired, and any additional biomedical imaging or bioinformatics experience is a plus. Background in biomedical research is preferred. Excellent interpersonal and communication (written and verbal) skills are essential, as well as strong organizational and documentation skills, to manage multiple projects effectively and meet deadlines. Experience with managing large and complex datasets is strongly preferred, with the ability to import/export data into or from various formats into standard statistical software
Reference Number: 40-26325
Salary Grade: C
Employment Type: Exempt
Job Family: E-Information Systems/Technology