Lead Clinical Research Coordinator – Computational Psychiatry

The University of Texas Southwestern Medical Center

Dallas (TX)

In loco

USD 65.000 - 95.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

PPO medical plan
Paid Time Off
Retirement Programs TRS
Paid Parental Leave
Wellness programs
Tuition Reimbursement
PSLF Qualified Employer
Education reimbursement

Descrizione del lavoro

UT Southwestern Medical Center in Dallas invites applications for a Lead Clinical Research Coordinator in the Computational Psychiatry Program. You will screen, recruit, enroll participants, obtain informed consent, and coordinate regulatory documentation for a multi-year longitudinal study with wearable sensors and clinical outcomes.

The role requires data management skills and proficiency with REDCap, EPIC, ETHOS, Velos, and Florence, plus collaboration with investigators and clinical partners.

Competenze

  • Bachelor's degree in medical or science related field.
  • 4 years of clinical research experience with Bachelor's Degree.

Mansioni

  • Maintain subject documentation for each study protocol.
  • Screen, recruit, enroll, and follow subjects per protocol.
  • Coordinate regulatory documentation and data collection tools.
  • Interact with participants via phone, telehealth or in person.
  • liaise with sponsors, HRPP, FDA and affiliated hospitals.

Conoscenze

Regulatory knowledge
Clinical coordination
Data management
Patient recruitment

Formazione

Bachelor's Degree in medical or science related field

Strumenti

REDCap
EPIC
ETHOS
Velos
Florence
Microsoft Office

Descrizione del lavoro

UT Southwestern Medical Center in Dallas invites applications for a Lead Clinical Research Coordinator in the Computational Psychiatry Program. You will screen, recruit, enroll participants, obtain informed consent, and coordinate regulatory documentation for a multi-year longitudinal study with wearable sensors and clinical outcomes.

The role requires data management skills and proficiency with REDCap, EPIC, ETHOS, Velos, and Florence, plus collaboration with investigators and clinical partners.

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