Laboratory Research Operations Analyst S1

Laboratory Research Operations Analyst S1 page is loaded## Laboratory Research Operations Analyst S1locations:
Columbus Campus time type:
Full time posted on:
Posted Todayjob requisition :
R140088

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Job Title:

Laboratory Research Operations Analyst S1## Department:

Medicine | Orthopedics
** Position Description
** The Orthopaedic Biomechanics Laboratory within Department of Orthopaedics at The Ohio State University Wexner Medical Center is seeking candidates for a Laboratory Research Operations Specialist position with immediate need. Ambitious, self-motivated, hard-working, bright graduates interested in a full-time position near the main Ohio State University campus in Columbus, OH, are welcome to apply. This opportunity is supervised by Vice Chair of Research Dr.

Nathaniel Bates, PhD. The successful applicant will have the unique opportunity to engage in clinical and laboratory-based research across multiple divisions within the Department of Orthopaedics. Through this diversity of projects, the successful applicant will be extended ample opportunities for publication in peer-reviewed medical journals. Primary roles for this position will include:
* ** DATA CURATION (estimated 65% FTE)**  + Data Collection – The candidate will lead laboratory data collections of both live patient and cadaveric studies. This includes setup, tear down, specimen handling, and dissection. The candidate will be expected to learn and operate multiple technical systems including 3D motion analysis, Electromyography, embedded force platforms, mechanical simulators, and any new technology introduced to the laboratory for scientific testing purposes.  

+ Data Management – The candidate will be expected to manage the curation, organization, clean up, refinement and processing of laboratory data. This process begins at collection and is ongoing until data termination. The Orthopaedic Biomechanics Laboratory maintains an array of ongoing projects at any given time; therefore, management of data for these projects is essential. Candidate efforts will be targeted towards preparing data for statistical analysis and preserving integrity of created datasets.  

+ Data Analysis – Under the guidance of Dr. Bates, the candidate will be expected to learn and participate in the statistical analysis of collected data to prepare results for publication. The candidate will implement university-provided and public domain software to accomplish this goal.
* ** STUDY COORDINATION (estimated 15% FTE)**  + The candidate will assist in the development and submission of protocols to the Ohio State University IRB, the contacting and recruitment of potential research subjects, the ethical consent of study participants, the longitudinal follow-up of study subjects, and the maintenance and upkeep of study records as defined by the IRB and research regulatory standards.  

+ The candidate will be expected to prepare laboratory facilities and equipment for data collection and maintain a professional laboratory environment for the conduction of research efforts.
* ** DATA DISSEMINATION (estimated 15% FTE)**  + The candidate will aid in the creation of abstracts, manuscripts, reports, figures, and tables related to laboratory projects and data.  + The candidate will contribute to efforts targeted at development and submission of extramural funding applications. However, the candidate will not be responsible for independent proposal curation.
* ** MULTIDICIPLINARY COLLABORATION (estimated 5% FTE)**  + The candidate will work collaboratively with a multidisciplinary team, including neuroscience, engineering, health sciences, medicine, and more. Collaborative relationships will be overseen by Dr. Bates for the benefit of the Orthopaedic Biomechanics Laboratory.  + The candidate will aid in fostering new and existing relationships both internal and external to OSUWMC to generate novel project opportunities for the Orthopaedic Biomechanics Laboratory.

This position is tied to funding and is a 2-year opportunity with potential for extension based on resource availability.…