Clinical Research Coordinator A - Data Collection (Department of Psychiatry)

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 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.