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Entry Level Health Informatics Analyst Jobs in California

Stanford University

Research Data Analyst 2

Stanford, CA

$108K - $128K/yr

The center employs various methodologies, including health informatics, predictive analytics, and community-engaged research, to address pressing public health issues like chronic diseases and mental ...

Stanford University

Research Data Analyst 2

Stanford, CA · On-site

$108K - $128K/yr

The center employs various methodologies, including health informatics, predictive analytics, and community-engaged research, to address pressing public health issues like chronic diseases and mental ...

LabAnswer

ELN Business Analyst

San Francisco, CA

Company Description LabAnswer is the leading and largest laboratory informatics consultancy ... Senior LIMS/ELN Business Analysts Duties: Work with business to identify data needs for new LIMS ...

Eisenhower

Informaticist-Clinical

Rancho Mirage, CA · On-site

$39.04 - $59.31/hr

... analysts, Nursing educators and informatics, pharmacy leadership and informatics, Quality, Surgical Services, Specialty Services, Legal and Compliance, and the Health Information Management teams to ...

Eisenhower

Pharmacist-Informatics

Rancho Mirage, CA · On-site

$57.69 - $87.64/hr

Ability to communicate with patients, healthcare professionals, and staff to ensure clear and ... data analysis skills, Knowledge and ability to apply age-specific principles of pharmacology ...

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Entry Level Health Informatics Analyst information

What are some common challenges faced by Entry Level Health Informatics Analysts when transitioning from academic settings to healthcare organizations?

Entry Level Health Informatics Analysts often encounter challenges such as adapting to complex healthcare data systems, understanding strict data privacy regulations like HIPAA, and learning to communicate effectively with both technical IT teams and clinical staff. The fast-paced environment may require quick problem-solving and prioritization of tasks. Building familiarity with specialized electronic health record (EHR) platforms and gaining hands-on experience with real-world data are key steps to overcoming these initial hurdles.

What are the key skills and qualifications needed to thrive as an Entry Level Health Informatics Analyst, and why are they important?

To thrive as an Entry Level Health Informatics Analyst, you need foundational knowledge in healthcare systems, data analysis, and informatics, typically supported by a degree in health informatics, public health, or a related field. Familiarity with electronic health records (EHR) systems, data analytics tools like SQL or Excel, and an understanding of HIPAA compliance are commonly required. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret complex data and collaborate with clinical and IT teams. These skills are vital to ensure data-driven decision-making, regulatory compliance, and improved healthcare outcomes.

What is the difference between Entry Level Health Informatics Analyst vs Health Data Analyst?

AspectEntry Level Health Informatics AnalystHealth Data Analyst
Required CredentialsBachelor's in Health Informatics, Health Information Management, or related field; certifications like CPHIMS are a plusBachelor's in Data Science, Statistics, or related field; certifications like Certified Health Data Analyst (CHDA) are common
Work EnvironmentHospitals, clinics, healthcare IT companies, government agenciesHealthcare organizations, research institutions, consulting firms
Employer & Industry UsageUsed in healthcare settings focusing on health information systems and clinical dataUsed in analyzing healthcare data for research, reporting, and decision-making

The Entry Level Health Informatics Analyst and Health Data Analyst roles share similarities in working with healthcare data and requiring related certifications. However, the analyst focuses more on health information systems and clinical data management, while the data analyst emphasizes data analysis and reporting. Both roles are vital in healthcare but serve different primary functions.

What is an Entry Level Health Informatics Analyst?

An Entry Level Health Informatics Analyst is a professional who supports the management and analysis of health data using technology and information systems. They help collect, process, and interpret healthcare information to improve patient care, enhance operational efficiency, and support decision-making in healthcare organizations. Their responsibilities often include data entry, generating reports, maintaining electronic health records, and assisting with system upgrades or implementations. This role is ideal for recent graduates or those new to the field, providing a foundation for more advanced informatics positions. Strong analytical skills, attention to detail, and a basic understanding of healthcare IT systems are essential for success in this position.
What are the most commonly searched types of Health Informatics Analyst jobs in California? The most popular types of Health Informatics Analyst jobs in California are:
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What cities in California are hiring for Entry Level Health Informatics Analyst jobs? Cities in California with the most Entry Level Health Informatics Analyst job openings:
Entry Level Health Informatics Analyst jobs near you
Postdoctoral Scientist - Gonzalez-Hernandez Lab - Computational Biomedicine

Postdoctoral Scientist - Gonzalez-Hernandez Lab - Computational Biomedicine

CEDARS-SINAI

San Diego, CA • On-site

$62K - $93K/mo

Full-time

This job post has expired today. Applications are no longer accepted.

Cedars-Sinai rating

8.6

Company rating: 8.6 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

37th of 1,020 rated hospitals

Job description

Job Description

Join us as we translate today's discoveries into tomorrow's medicine!

The Department of Computational Medicine (CBM) is a robust infrastructure established to develop, evaluate, and apply cutting-edge computational and statistical methods and software for the analysis of biomedical and clinical data across the Cedars-Sinai enterprise.

Are you ready to be a part of breakthrough research?

Dr. Graciela Gonzalez-Hernandez is a recognized expert and leader in natural language processing (NLP) applied to bioinformatics, medical/clinical informatics, and public-health informatics, with more than 100 publications in this area. The mission of the Gonzalez-Hernandez Lab is to improve healthcare delivery and outcomes, and public health monitoring and surveillance through innovations in automated language processing. The goals of the Gonzalez-Hernandez Lab include developing innovative NLP solutions for health-related language, creating data, resources and tools for the global research community, and promoting research in health language processing through the organization of workshops and shared tasks, and through interdisciplinary collaborations. To learn more, please visit Gonzalez-Hernandez Lab | Cedars-Sinai.

In this role, the Postdoctoral Scientist will be expected to work independently under the direction of Dr. Gonzalez-Hernandez and in close cooperation, as well as consultation, with other research staff. As a Postdoctoral Scientist, perform routine and complex laboratory procedures throughout the training period and may develop, adapt, and implement new research techniques and protocols.

Primary Job Duties and Responsibilities:

  • May assist in the preparation of grant proposals, but is not responsible for generating grant funds.
  • May participate in publications and presentations as author or co-author.
  • Designs and performs experiments. Will keep appropriate experimental records and documentation and analyze the results with the P.I.
  • Analyzes, interprets, summarizes and compiles data.
  • Operates and maintains equipment and instruments.
Qualifications

Education:

  • Doctorate (MD, PhD, VMD, or DDS) in area directly related to field of research specialization required.

Experience and Skills:

  • Highly motivated and works independently on research projects designed by a mentor (typically the PI) within the area of specialization.
  • Acquires thorough technical and theoretical knowledge of research project and objectives during one to five (1-5) year post-doctoral appointment.
  • Highly motivated with a proven track of record of publications.
  • Demonstrated aptitude to perform experimental protocols and procedures, including detailed data collection, and analysis, and operation and maintenance of specialized equipment.
  • Knowledge of safety standards and maintenance of specialized equipment.

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