Data Analyst I
University of Rochester
As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive.
Job Location (Full Address):
220 Hutchison Rd, Rochester, New York, United States of America, 14620Opening:
Worker Subtype:
RegularTime Type:
Full timeScheduled Weekly Hours:
40Department:
400010 NeuroscienceWork Shift:
UR - Day (United States of America)Range:
UR URG 106 HCompensation Range:
$21.36 - $29.90The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.
Responsibilities:
GENERAL PURPOSEThe Preclinical Imaging Core (PIC) at the Center for Advanced Brain Imaging and Neurophysiology (CABIN) of University of Rochester Medical center seeks an enthusiastic Data Analyst to join our team. The successful candidate will be working under the supervision of the PIC director and supporting the core with multimodal MRI data analysis. It is a full-time and onsite position requiring the candidate to deal with multiple labs and to work as a team. Previous experience with small animal imaging, medical image analysis, and MRI data analysis will be heavily weighted. The successful candidate is expected to follow the institutional guidelines for preclinical research, be very detail-oriented, organized, and motivated to learn new skills in small animal MRI/PET.
ESSENTIAL FUNCTIONS
- Analyze preclinical data: Focus on analyzing preclinical MRI data from different labs using Matlab, image processing software (SPM, MRIstudio, MRtrix) and using statistical methods to analyze the data, identify trends, and draw conclusions.
- Develop data analysis methods: Design and implement analytical approaches to extract meaningful insights from the data.
- Generate reports: Prepare reports and presentations summarizing findings and insights from data analysis.
- Collaborate with researchers: Work closely with scientists and researchers to understand data requirements and ensure alignment with research objectives.
Other duties as assigned.
MINIMUM EDUCATION & EXPERIENCE
- Bachelor’s in Biomedical Engineering, Computer Science/Engineering or a related discipline
- 1 year directly related work experience, utilizing the techniques or methods required by the position; and/or equivalent combination of education and experience. Required
- Some related post-undergraduate work experience. Preferred
- Experience with small animal research, medical image analysis, and MRI data analysis. Preferred
- Prior experience with MRI scanner usage, especially Bruker systems Preferred
- Experience with designing and implementing new customized databases and data pipelines Preferred
KNOWLEDGE, SKILLS AND ABILITIES
- Must be highly organized, self-motivated individual capable of working independently in a collaborative setting. Required
- Programming (MATLAB/Python/R), and mathematical/data analysis. Required
- Expertise in the long-term management of large multimodal imaging datasets with special emphasis on data cleaning, organization, and quality control. Preferred
The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University’s Mission to Learn, Discover, Heal, Create – and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion, creed, sex, sexual orientation, citizenship status, or any other characteristic protected by federal, state, or local law (Protected Characteristics). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates, for all persons consistent with our values and based on applicable law.