"Clinical Research Coordinator A (Hybrid Eligible) (Department of Psychiatry)"

University Overview

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Job Description Summary

The Balderston lab is seeking a clinical research coordinator to work full-time on research studies at the Center for Neuromodulation in Depression and Stress focused on the neuroscience of fear and anxiety.

The research coordinator will work closely with the principal investigator as well as other collaborating investigators and CNDS staff in carrying out CNDS research. S/he will be trained to conduct human neuroimaging research with a number of tools, including transcranial magnetic simulation (TMS), magnetic resonance imaging (MRI), and psychophysiology tools such as electromyography and electrocardiography. S/he will also be trained to administer clinical scales with psychiatric patients.

Job Description

The Balderston lab is seeking a clinical research coordinator to work full-time on research studies at the Center for Neuromodulation in Depression and Stress focused on the neuroscience of fear and anxiety.

The research coordinator will work closely with the principal investigator as well as other collaborating investigators and CNDS staff in carrying out CNDS research. S/he will be trained to conduct human neuroimaging research with a number of tools, including transcranial magnetic simulation (TMS), magnetic resonance imaging (MRI), and psychophysiology tools such as electromyography and electrocardiography. S/he will also be trained to administer clinical scales with psychiatric patients.

Responsibilities

Primary responsibilities include collecting, maintaining, and organizing all questionnaires, assessments, demographic data, and imaging data of the participants. Additionally the clinical research coordinator will conduct recruitment, will screen and enroll potential study patients as specified per protocol, and the coordinator will also perform regulatory duties such as preparation and submission of regulatory documents through the IRB (initial submissions, amendments, and continuations). The clinical research coordinator should be interested in and capable of developing skills across a number of research methodologies, neuroimaging software, and data analysis tools. Work hours will include evenings and Saturdays as needed to accommodate MRI scan calendar openings.

Position is contingent on continued funding.

Qualifications

A Bachelor's Degree and 1 year to 2 years of experience or an equivalent combination of education and experience required. Strong quantitative analytical skills and data management skills are beneficial. Other requirements include: excellent organizational, interpersonal, and communication skills; effective problem solving abilities; ability to multi-task; demonstrated ability to work as part of a team as well as independently. Prior experience working with MRI and/or TMS is desirable, but not required. Previous experience administering clinical scales is also desirable. The ideal candidate has some statistical knowledge and experience in data analysis, preferably knows python or a similar language, and has experience with neuroimaging analysis using AFNI, FSL, or equivalent. Ultimately, the coordinator must be well-suited for work in a fast-paced work environment that requires effective time management and a willingness to work independently. This is an excellent place to get research experience to prepare for medical school or graduate school in psychology, neuroscience, engineering, or biostatistics.

Job Location - City, State

Philadelphia, Pennsylvania. Hybrid Eligible - This position is eligible for a hybrid work schedule with a work week divided between working onsite and working remotely.

Department / School

Perelman School of Medicine.

Pay Range

$46,500.00 - $46,500.00 Annual Rate. Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered.