2

Entry Level Healthcare Informatics Jobs in Houston, TX

... Entry Level Position with advancement opportunities to Management Positions. We are a fast paced ... Must be able to multi-task * Healthcare background a plus * 1+ year office experience This person ...

... Entry Level Position with advancement opportunities to Management Positions. We are a fast paced ... Must be able to multi-task * Healthcare background a plus * 1+ year office experience This person ...

Showing results 41-60

Entry Level Healthcare Informatics information

See Houston, TX salary details

$17.2K

$79.1K

$127.5K

How much do entry level healthcare informatics jobs pay per year?

As of Aug 8, 2026, the average yearly pay for entry level healthcare informatics in Houston, TX is $79,054.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,500.00 and $94,100.00 per year, depending on experience, location, and employer.

How do I start a career in entry level healthcare informatics?

To start a career in entry-level healthcare informatics, obtain a relevant bachelor's degree such as health information management, health informatics, or computer science. Gaining skills in electronic health records (EHR) systems, data analysis, and healthcare regulations, along with certifications like Certified Health Data Analyst (CHDA), can improve job prospects. Entry-level roles often require strong communication skills and familiarity with healthcare software environments.

What are some common challenges faced by entry level healthcare informatics professionals, and how can they overcome them?

Entry-level professionals in healthcare informatics often encounter challenges such as learning to navigate complex electronic health record (EHR) systems, understanding healthcare regulations (like HIPAA), and effectively communicating with both IT and clinical staff. To overcome these hurdles, new hires should proactively seek mentorship, participate in training sessions, and regularly collaborate with interdisciplinary teams. Building a strong foundation in data management and healthcare workflows can also help new professionals adapt quickly and contribute meaningfully to their organizations.

What are the key skills and qualifications needed to thrive as an entry level healthcare informatics professional?

To thrive as an Entry Level Healthcare Informatics professional, you need a basic understanding of healthcare systems, data analysis, and information management, typically supported by a bachelor's degree in health informatics, information technology, or a related field. Familiarity with electronic health records (EHRs), health information management systems, and data visualization tools such as Tableau or SQL is often required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for collaborating with clinical and IT teams. These competencies are important for ensuring accurate data management, supporting clinical decisions, and improving healthcare delivery.

What are some entry level jobs in healthcare informatics?

Entry level jobs in healthcare informatics include roles such as health information technician, clinical data analyst, and health IT support specialist. These positions typically require knowledge of electronic health records (EHR) systems, basic data management skills, and sometimes relevant certifications like Certified Health Data Analyst (CHDA).

What is an entry level healthcare informatics job?

Entry level healthcare informatics jobs involve supporting the management and analysis of healthcare data, often through the use of electronic health records (EHRs), data entry, and basic data analysis. These roles typically assist in improving healthcare delivery by ensuring accurate patient data collection, helping with system implementations, and supporting clinical staff with technology. Common positions include health informatics technician, data analyst assistant, or EHR specialist. These jobs often require a background in health information technology, computer science, or healthcare, but are designed for those at the beginning of their careers.
What job categories do people searching Entry Level Healthcare Informatics jobs in Houston, TX look for? The top searched job categories for Entry Level Healthcare Informatics jobs in Houston, TX are:
What cities near Houston, TX are hiring for Entry Level Healthcare Informatics jobs? Cities near Houston, TX with the most Entry Level Healthcare Informatics job openings:
Infographic showing various Entry Level Healthcare Informatics job openings in Houston, TX as of August 2026, with employment types broken down into 72% Full Time, 21% Part Time, and 7% Contract. Highlights an 100% In-person job distribution, with an average salary of $79,054 per year, or $38 per hour.

Research Scientist I, Moody Brain Health Institute

UTMB Health

Galveston, TX

Full-time

Re-posted 27 days ago


UTMB Health rating

7.3

Company rating: 7.3 out of 10

Based on 168 frontline employees who took The Breakroom Quiz

265th of 887 rated healthcare providers


Job description

JOB SUMMARY

The Research Scientist will lead research and development focused on digital twin modeling for brain health and health trajectory prediction within the Moody Brain Health Institute. This role involves designing, implementing, and validating computational models that simulate individual brain and health states across the lifespan. The scientist will integrate multi-modal patient data, including neuroimaging, electrophysiology, genomics, digital biomarkers, and electronic health records (EHRs), to create predictive digital twins capable of informing early diagnosis, personalized interventions, and resilience modeling. The position combines data science, neuroscience, and translational health research to advance precision brain health. They will also contribute to development of grant proposals, and scholarly publications.

ESSENTIAL JOB FUNCTIONS

·         Execute the core’s research initiatives, advancing key projects and objectives.

·         Design and implement predictive models based on patient data to support research and clinical applications.

·         Lead the development of virtual patient models to advance personalized medicine and data-driven research.

·         Develop comprehensive data extraction strategies for Electronic Health Record (EHR) data, ensuring efficient and accurate analysis.

·         Integrate multi-scale data sources such as neuroimaging, omics, cognitive, behavioral, and EHR data to build comprehensive individual-level representations.

·         Present research findings and core activities at both internal and external conferences, symposia, and workshops.

·         Support grant applications and publications, highlighting innovations in digital twin technologies for brain health.

·         Contribute to infrastructure planning, including computing resources, secure data management, and AI model governance.

·         Partner with the core director to plan resources and training for the development of AI tools and technologies.

KNOWLEDGE/SKILLS/ABILITIES

·         Excellent communication and interpersonal skills with a high degree of professionalism. 

·         Experience with high-throughput data analysis.

·         Proficiency in AI, deep learning, and data fusion techniques for multimodal health data.

·         Familiarity with federated or privacy-preserving learning for healthcare applications.

·         Excellent communication and collaboration skills, with the ability to convey complex bioinformatics concepts to non-experts.

·         Strong analytical skills and a proactive approach to problem resolution.

·         Excellent decision-making skills.

EDUCATION & EXPERIENCE

Minimum Qualifications:

·         PhD in Bioinformatics, Data Science, Biomedical Informatics, or a related biomedical field.

·         Proven experience in Artificial Intelligence and/or statistical modeling,

·         Familiarity with EHR data extraction, and analysis.

·         Excellent communication skills and ability to collaborate with interdisciplinary teams.

Preferred Qualifications:

·         Experience in working with AI and machine learning models, particularly in the biomedical context.

·         Experience in digital twin frameworks, personalized modeling, or health trajectory prediction.

·         Proven ability to lead collaborative, data-driven projects across disciplines.

·         Prior involvement in leading or managing research projects.


SALARY:
Commensurate with experience. 
 

EQUAL EMPLOYMENT OPPORTUNITY:
UTMB Health strives to provide equal opportunity employment without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, genetic information, disability, veteran status, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. As a Federal Contractor, UTMB Health takes affirmative action to hire and advance protected veterans and individuals with disabilities.


What UTMB Health employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom