Clinical Research Informatician

known for its patient-centered approach, providing advanced and effective therapies in a supportive and caring environment. They have state-of-the-art facilities and a team of expert physicians dedicated to delivering exceptional care and outcomes

variety of benefits and perks designed to support your well-being and professional growth. Here are some of the key benefits:

Health and Medical Benefits: Comprehensive health plan options, including medical, dental, and vision coverage, as well as flexible spending accounts to offset medical costs.

Retirement Benefits: Retirement plans to help you secure your financial future.

Tuition Benefits: Free USC tuition for yourself or an immediate family member after two years of employment.

Time Off: Paid and unpaid time off for vacation, personal health, and family care.

Well-being Programs: Resources to support your physical, mental, and spiritual health.

Employee Discounts: Discounts on sports tickets, gym memberships, event tickets, and more.

Professional Development: Opportunities for growth and development through various training programs and resources.

The Clinical Research Informatician is a bridge between clinicians/researchers and data. They blend their knowledge of clinical workflow, terminology, and practices with an understanding of health information technology to advance clinical and translational research towards improved patient care. The Clinical Informatician will play an integral role focused on creating, testing, implementing, and maintaining applications and data for clinical areas. Responsibilities include acting as a liaison between clinicians/researchers and data stewards, interfacing with stakeholders on informatics software development, maintenance, and operations, and creating streamlined workflows for the exploitation of healthcare data.

Minimum Education

Bachelor’s Degree In Health Information Management or Health Informatics OR B.S. in clinical field (nursing, etc.) and certification in Health Informatics OR B.S. in informatics, computer science, statistics, biomedical engineering artificial intelligence AND certification in Health Informatics. Required
Master’s Degree preferred.
Minimum Experience/Accountabilities (revised criteria)

Minimum 4 years’ experience in clinical research
Minimum 4 years’ experience in clinical informatics
Minimum 4 years’ experience in information technology and/or in academic healthcare setting
Experience with clinical operations, Health Information Management, or care management.
Experience with clinical definitions, ontologies, dictionaries, and taxonomies required.
Experience with clinical standards and coding.
Experience with KPIs as they relate to clinical areas.
Experience implementing new technologies in clinical areas.
Collect, organize, curate, and document healthcare information within the data warehouse.
Apply experience with clinical information and workflows to the development of informatics tools, applications, analyses, and procedures.
Develop, modify, test, and implement applications and algorithms for the collection, organization, and analysis of healthcare data.
Assist in the development of presentations, scientific publications, and grant proposals.
Apply insights gained from research to improve patient care or healthcare operations.
Ability to interact directly with and interpret healthcare data using self-service tools or coding languages, such as SQL and Python
Ability to liaison between clinical stakeholders and Enterprise Data & AI technical team members
Expertise in analyzing and optimizing clinical workflows, leveraging IT to enhance efficiency, accuracy, and patient outcomes through targeted interventions and system improvements.
Collaborate with software vendors and IT service providers to ensure that their products and services are tailored to meet the unique operational needs of the healthcare facility, optimizing performance and compliance.
Other duties as assigned.


General clinical experience accepted, including experience as an MD, NP, PA, or RN.
Experience serving as a liaison between clinicians/researchers and IT.
Experience interpreting healthcare data using self-service tools or programming languages such as SQL and Python.