Clinical Research Coordinator (Center for Neurobehavioral Genetics)

The UCLA Semel Institute for Neuroscience and Human Behavior is seeking a Clinical Research Coordinator to support a growing portfolio of research studies focused on identifying the genetic and biological factors that contribute to psychiatric and neurological disorders. The Center for Neurobehavioral Genetics conducts innovative research aimed at advancing the understanding, prevention, diagnosis, and treatment of brain and behavioral health conditions through multidisciplinary scientific collaboration.

In this role, you will coordinate clinical research activities across UCLA and collaborating domestic and international sites, support research data and biospecimen management, maintain study databases, and contribute to a variety of scientific and administrative research activities.

Key Responsibilities

- Coordinate day-to-day operations for multiple clinical research studies and collaborating sites.
- Develop and maintain REDCap databases and study documentation, including user access, data dictionaries, validation rules, and project workflows.
- Monitor data quality, perform validation reviews, conduct data reconciliation activities, and prepare research datasets and reports.
- Support biospecimen tracking, sample quality control, repository submissions, and reconciliation of collection and shipment records.
- Assist with regulatory documentation, IRB submissions, protocol compliance activities, and study reporting requirements.
- Coordinate meetings, communications, and project deliverables with investigators, research staff, and domestic and international collaborators.
- Support preparation of grants, manuscripts, presentations, scientific reports, and other research materials.
- Learn and support specialized research systems and platforms, including REDCap, BTM, Azure, and repository-submission systems.
Salary range: $38.19/hr - $61.45/hr
Required Qualifications
- Bachelor's degree in Psychology, Neuroscience, Public Health, Biological Sciences, Health Sciences, Data Science, or a related field; or an equivalent combination of education and experience.
- Minimum two years of experience supporting clinical or human-subjects research.
- Experience with REDCap or similar electronic data capture systems, including project development, data dictionary creation, validation rules, database maintenance, user permissions, and data exports.
- Strong data management skills, including data cleaning, validation, quality control, reconciliation, and preparation of analysis-ready datasets.
- Working knowledge of human subjects research, research compliance requirements, confidentiality standards, and data security practices.
- Familiarity with basic programming/coding in R and/or Python.
- Proficiency with Microsoft Office applications, particularly Excel.
- Ability to learn and support specialized research systems and platforms.
- Strong analytical, organizational, problem-solving, and attention-to-detail skills.
- Ability to manage multiple priorities and work independently in a fast-paced research environment.
- Excellent written and verbal communication skills.
- Ability to collaborate effectively with investigators, research staff, technical teams, and external partners.

Preferred Qualifications
- Graduate-level training in a scientific, public health, clinical research, quantitative, or related field.
- Experience supporting multi-site, international, biospecimen-based, or repository-related research studies.
- Experience preparing scientific reports, presentations, grant materials, manuscripts, or other scholarly work.
- Bilingual English/Spanish communication skills.

As a condition of employment , the final candidate who accepts an offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; or have filed an appeal of a finding of substantiated misconduct with a previous employer.
Current/former UC employees are subject to a personnel file review.