Clinical Research Coordinator I – National Center for PTSD

PAVIR•Menlo Park, CA

7d•$38 - $49•Onsite

About The Position

Palo Alto Veterans Institute for Research (PAVIR) is seeking a full-time Clinical Research Coordinator to work with Dr. Kuhn at the National Center for PTSD. This role offers a unique opportunity to contribute to an innovative center focused on mental health care and research, utilizing cutting-edge technology to address the U.S. mental health crisis. The position involves collaborating with a cross-functional team on research studies, performing data analysis on large datasets related to mental health and healthcare, digital mental healthcare interventions, and potentially AI applications. Key responsibilities include screening, enrolling, and randomizing participants, administering study payments, managing data collection and organization, tracking and reporting study records, and coordinating team meetings. Strong data analytic skills, syntax creation, coding, and familiarity with research management software like Qualtrics, REDCap, Excel, R/RStudio, and Git/Github are necessary. Exceptional candidates will also possess experience with mobile and web-based app analytics, dashboards, processing complex JSON data streams, data visualization, and proficiency in Python, SQL, Visual Studio, Azure, and AWS.

Requirements

Bachelor's degree (or equivalent experience)
Advanced research assistant experience or research coordinator experience
2 years or more of R programming experience
Experience working with large data sets
Previous experience in a clinical and/or research environment
Knowledge and experience with web-based project management programs
Good interpersonal skills and strong collaborative attitude and capacity to interact with people
Strong organizational skills
Ability to work well both independently and in a collaborative team
Good writing skills and ability to develop periodic reports on program activities
Knowledge of research study protocols and IRB procedures
Knowledge and experience with manuscript development and literature review
Working knowledge of inferential statistics
Experience analyzing large data sets and processing complex data structures
Ability to program using R / RStudio
Familiarity with Git / GitHub
Experience presenting data effectively to scientific, clinical, or other professional audiences
Ability to prioritize and organize a high-volume workload and adapt to changing priorities

Nice To Haves

Course work in social sciences, research, computer science, data science, statistics or related fields such as mathematics, engineering, or medical/clinical informatics
Knowledge of VA and its health care system regarding clinical research trials and understanding of VA procedures and safety regulations
Experience with mobile and/or web analytics, dashboards, and/or processing of JSON data streams
Experience working with behavioral, mental health, and/or electronic health record data, especially using VA systems
Experience with additional data processing technologies including Python, SQL, Visual Studio, Azure, and/or AWS
Experience with AI and machine learning, particularly for behavioral data analysis
Data visualization skills

Responsibilities

Screen, enroll, and randomize research participants
Communicate and follow up with research participants
Coordinate routine meetings among key staff including creating agendas and leading meetings
Administer study payments
Manage and organize study data collection via REDCap and/or Qualtrics (e.g., baseline, post-treatment, and follow-up assessments)
Track and periodically report study records and progress to research team
Prepare reports to study sponsors, IRBs, DSMBs, and hospital research administration
Assist in budget management
Use R/RStudio and other technologies to process, integrate, and analyze data from research trials and VA operational platforms
Visualize and prepare analysis results for internal program use, academic presentations and publications, and/or public dissemination
Develop, document, and manage and share analysis workflows using Git/GitHub and other project management tools
Other tasks as assigned (e.g., literature reviews in manuscript development, IRB completion)