Public listing
Research Technician I
- ListedPosted 11 hours ago
- SourceWorkday
Role overview
About the role
Description supplied by the original job listing.
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):
601 Elmwood Ave, Rochester, New York, United States of America, 14642
Opening:
Worker Subtype:
Regular
Time Type:
Time as Reported / Per Diem
Scheduled Weekly Hours:
As Scheduled
Department:
400854 Med M&D-Aab CardiovascResInst
Work Shift:
UR - Day (United States of America)
Range:
UR URG 104 H
Compensation Range:
$19.04 - $26.63
The 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:
Provides part-time technical support for computational research within the Aab Cardiovascular Research Institute, Department of Medicine/CVRI. Under the direction of the laboratory head and established research protocols, assists with preparation and analysis of protein-structure data to investigate cardiovascular protein interactions relevant to fibroblast function. Uses established computational tools to generate, organize, and summarize research outputs for review by the research team. Supports documentation of methods and findings for presentations and scientific manuscripts. The position is expected to work approximately eight hours per week and may be performed remotely or on site.
ESSENTIAL FUNCTIONS
Prepares protein sequence and related input data for computational analysis; follows laboratory instructions to organize source files, select established settings, run assigned structure-prediction workflows, and document inputs and outputs for reproducibility.
Uses established AlphaFold and PyMOL workflows, with guidance from the laboratory head or graduate researchers, to examine predicted protein structures and interactions associated with fibroblast phenotypic plasticity; records observations and flags unexpected results for review.
Collects, labels, tabulates, and checks computational results; maintains organized analysis files and basic tracking records, and prepares figures, structural views, and three-dimensional visualizations to communicate findings to the research team.
Assists the laboratory head and graduate students in preparing research presentations, methods descriptions, figure legends, and summaries of results for manuscripts; incorporates feedback and verifies that reported outputs match source analyses.
Participates in research-team check-ins, follows laboratory data-handling and documentation practices, and completes assigned quality checks or routine updates to computational files and analysis procedures under supervision.
MINIMUM EDUCATION & EXPERIENCE
High School diploma or GED required
Associate's degree Health Science, Biology, Chemistry or other science related field of study preferred
Or equivalent combination of education and experience
Experience in a large complex health care or academic setting preferred
KNOWLEDGE, SKILLS AND ABILITIES
Understanding of medical or laboratory terminology preferred
Ability to effectively communicate with staff and faculty of all levels preferred
Knowledge of University policies and procedures 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.
Skills
Documentation
Skills from the listing
- Documentation
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