Clinical Psych Grad School
Clinical Research Coordinator Position – Fiore Lab, Mount Sinai
Clinical Psych Grad School, Mount Sinai, New York, United States, 11766
Job Description
Job Description:
The research laboratory led by Dr. Vincenzo Fiore at the Center for Computational Psychiatry (CCP, https://icahn.mssm.edu/research/center-for-computational-psychiatry) is looking for a Clinical research coordinator to perform research in the field of computational psychiatry, focusing on data collection and organization, as well as research study coordination. This is a full time, 100% on site position. Start Date February 1st.
Responsibilities
Administration of standardized clinical assessments
Scheduling/coordinating research visits with patients, clinical staff, and research personnel
Coordination of neuroimaging (7T-3T MRI) data collection
Data collection (online or in person) with computerized research tasks and assessments
Data management activities, including data entry, quality control, backup, and storage
Assisting with grant and IRB progress reporting
Assisting with writing new research protocols and grant applications
Troubleshooting of research tasks (Matlab, R, Python etc.)
Data analysis with existing or new analytic and statistical pipelines (Excel, SPSS etc.)
Details of the Project Several theories postulate that both habitual and goal‑oriented decision‑making processes are compromised in compulsive behaviors such as substance use disorders, behavioral addictions or eating disorders. The development of new, more comprehensive computational models of value (i.e., based on reinforcement learning algorithms) and belief update processes (i.e., based on Bayesian inference algorithms), jointly with neural models of cortico‑basal ganglia dynamics (i.e., based on neural simulations) can shed light on these compromised processes, resulting in important tools for precision diagnosis and treatment. This project will develop and deploy a variety of model‑based analyses of choice behavior and neural dynamics, applying these tools for the analysis of behavioral and fMRI data (activity and network estimations), collected in healthy and clinical populations, with a focus on obsessive‑compulsive disorder.
Requirements The ideal candidate will have: a minimum of a bachelor’s degree, appropriate verbal, written and interpersonal skills, organizational, problem‑solving and analytical skill, at least 1 year of prior research experience, and will be able to provide a 2‑year commitment. Previous experience in recruiting patients with neurological and/or psychiatric disorders is preferred.
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The research laboratory led by Dr. Vincenzo Fiore at the Center for Computational Psychiatry (CCP, https://icahn.mssm.edu/research/center-for-computational-psychiatry) is looking for a Clinical research coordinator to perform research in the field of computational psychiatry, focusing on data collection and organization, as well as research study coordination. This is a full time, 100% on site position. Start Date February 1st.
Responsibilities
Administration of standardized clinical assessments
Scheduling/coordinating research visits with patients, clinical staff, and research personnel
Coordination of neuroimaging (7T-3T MRI) data collection
Data collection (online or in person) with computerized research tasks and assessments
Data management activities, including data entry, quality control, backup, and storage
Assisting with grant and IRB progress reporting
Assisting with writing new research protocols and grant applications
Troubleshooting of research tasks (Matlab, R, Python etc.)
Data analysis with existing or new analytic and statistical pipelines (Excel, SPSS etc.)
Details of the Project Several theories postulate that both habitual and goal‑oriented decision‑making processes are compromised in compulsive behaviors such as substance use disorders, behavioral addictions or eating disorders. The development of new, more comprehensive computational models of value (i.e., based on reinforcement learning algorithms) and belief update processes (i.e., based on Bayesian inference algorithms), jointly with neural models of cortico‑basal ganglia dynamics (i.e., based on neural simulations) can shed light on these compromised processes, resulting in important tools for precision diagnosis and treatment. This project will develop and deploy a variety of model‑based analyses of choice behavior and neural dynamics, applying these tools for the analysis of behavioral and fMRI data (activity and network estimations), collected in healthy and clinical populations, with a focus on obsessive‑compulsive disorder.
Requirements The ideal candidate will have: a minimum of a bachelor’s degree, appropriate verbal, written and interpersonal skills, organizational, problem‑solving and analytical skill, at least 1 year of prior research experience, and will be able to provide a 2‑year commitment. Previous experience in recruiting patients with neurological and/or psychiatric disorders is preferred.
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