Clinical Informatics Specialist

As a Clinical Informatics Specialist at Gradient AI, your primary responsibilities will include providing clinical expertise to guide product development, collaborating with various teams to implement healthcare data models, and normalizing data from EHR/EMR systems. You will also be involved in developing terminology structures and ensuring data quality, demonstrating your integral role in the innovative projects we undertake.

To qualify for the Clinical Informatics Specialist role at Gradient AI, candidates must have a PharmD or MD degree, alongside hands-on experience with EMR or claims data. Familiarity with coding standards, healthcare data modeling, and a comprehensive understanding of Rx, Dx, and LOINC coding is essential for success in this position.

Gradient AI offers a fully remote work structure for the Clinical Informatics Specialist role, promoting a flexible schedule that allows for a healthy work-life balance. This means you can collaborate with team members and contribute to projects from anywhere, ensuring productivity while supporting your personal needs.

At Gradient AI, we foster a fun, team-oriented startup culture that values innovation and collaboration. As a Clinical Informatics Specialist, you'll find an environment that encourages new ideas and personal growth, supported by generous stock options and unlimited vacation days.

Gradient AI believes in investing in our employees' growth, providing ample opportunities for learning and expanding responsibilities for Clinical Informatics Specialists. Whether it's accessing training resources or participating in project leadership, you'll have the chance to advance your career in an engaging and supportive atmosphere.

When answering this question, emphasize specific projects you've worked on involving healthcare data modeling. Discuss the tools and methods you used, the types of data you managed, and how your work contributed to improved outcomes or efficiency in healthcare practices.

Begin by explaining your approach to data normalization, mentioning best practices and standard coding systems you utilize. It's beneficial to provide examples of past successes where your efforts significantly improved data integrity and usability.

Interdepartmental collaboration is vital in this role. Discuss how you facilitate communication among teams, share insights, and leverage diverse expertise to achieve common goals. Provide examples of successful projects that benefited from this collaboration.

Identify recent technologies you find crucial, such as artificial intelligence or advanced data analytics tools. Discuss their potential impact on healthcare delivery and how you've engaged with or adapted to those changes in your previous roles.

Share a relevant experience that highlights your problem-solving skills. Focus on specific challenges, the strategies you employed to address them, and the ultimate success of the project, showcasing your resilience and adaptability.

Explain your strategies for staying informed, which may include attending industry conferences, subscribing to relevant journals, or networking with peers. Highlight how this knowledge impacts your work positively.

Discuss the specific tools and processes you implement to enhance documentation efficiency and accuracy. You might mention techniques for training staff on best practices or software that automate parts of the documentation process.

Talk about your interpersonal skills and how you facilitate a positive work environment. Provide examples of team initiatives or activities you've taken part in that fostered collaboration and morale.

When designing ontology structures, emphasize the importance of accuracy, usability, and relevance of the terms used. You could share how you consider user needs and regulatory requirements in your designs.

Discuss the crucial steps in your approach, including market research, evaluating existing data, and consulting with stakeholders. Mention how you ensure comprehensive analysis that supports rational pricing strategies.