Clinical Research Informatician (HDIP)

Clinical Research Informatician (HDIP)

Summary :

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.

All candidate submissions must include answers to the following questions (no more than 5 sentences for each response) :

1. Give a description of your experience in working within EHR to optimize clinical user experience.

2. What clinical terminology systems are you most familiar with, and how have you used them in data mapping or standardization?

3. Provide an example of a complex problem you solved in the realm of clinical informatics. What strategies did you use to identify and address the root causes?

Minimum Experience / Accountabilities

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.

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.

Accountabilities :

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.