1

Freelance Health Informatics Analyst Jobs in Utah

Clinical Informatics - 814 Primary Purpose: The Clinical Informaticist plays a crucial role in ... Demonstrates proficiency in performing information capture, data mining, data aggregation, analysis ...

An aptitude for medical informatics is preferred WHAT YOU'LL NEED Additional * Works closely with ... Works on groundbreaking new applications of machine learning and analytic technology to Healthcare, ...

Data Scientist

Lehi, UT · On-site

$90 - $120/hr

Aptitude for medical informatics is preferred. What You'll Need * Works closely with Application ... Works on groundbreaking new applications of machine learning and analytic technology to Healthcare, ...

... Data Informatics. Incumbents whose focus is primarily on experimental design and advanced or ... and analytic components to provide up-to-date intelligence to Healthcare providers maximizing ...

... Data Informatics. Incumbents whose focus is primarily on experimental design and advanced or ... and analytic components to provide up-to-date intelligence to Healthcare providers maximizing ...

Showing results 21-40

Freelance Health Informatics Analyst information

What is the difference between Freelance Health Informatics Analyst vs Health Data Analyst?

AspectFreelance Health Informatics AnalystHealth Data Analyst
CredentialsOften requires a degree in health informatics, computer science, or related fields; certifications like CPHIMS are commonTypically needs a degree in health informatics, statistics, or related areas; certifications like Certified Health Data Analyst (CHDA) are beneficial
Work EnvironmentFreelance, project-based, working remotely or on-site with healthcare organizationsEmployed by healthcare providers, hospitals, or research institutions; may work in office or remotely
Employer & Industry UsageUsed by healthcare organizations seeking flexible expertise; often contracted for specific projectsEmployed within healthcare or research settings analyzing health data for insights and reporting

While both roles involve health data analysis, a Freelance Health Informatics Analyst typically works independently on projects requiring informatics expertise, whereas a Health Data Analyst is usually employed full-time within organizations focusing on data reporting and analysis.

What are the key skills and qualifications needed to thrive as a freelance health informatics analyst?

To excel as a Freelance Health Informatics Analyst, you typically need a background in health informatics, data analysis, and healthcare systems, often supported by a relevant degree or certification such as Certified Health Data Analyst (CHDA). Familiarity with electronic health record (EHR) systems, data visualization tools like Tableau or Power BI, and database management software such as SQL is crucial. Strong communication, problem-solving, and project management skills help differentiate top performers in client-facing and collaborative environments. These competencies ensure accurate data-driven insights, effective stakeholder engagement, and successful project delivery in the evolving healthcare landscape.

What are some common challenges freelance health informatics analysts face when working with multiple healthcare clients?

Freelance Health Informatics Analysts often encounter challenges such as managing different electronic health record (EHR) systems, adapting to varied data privacy protocols, and aligning with each client's reporting standards. Balancing multiple projects also requires strong organization and communication skills, as analysts must frequently clarify data requirements with diverse clinical and IT teams. Additionally, staying up-to-date with healthcare regulations and technology trends is essential to provide relevant solutions for each client.

What is a freelance health informatics analyst?

A Freelance Health Informatics Analyst is a professional who specializes in analyzing healthcare data and systems on a contract or project basis. They help organizations optimize the use of health information technology to improve patient care, streamline workflows, and ensure data compliance. Their work often involves data analysis, system implementation, and recommendations for improving healthcare outcomes. Unlike full-time employees, freelancers work independently for multiple clients and may take on a variety of projects across different healthcare settings.
What are the most commonly searched types of Health Informatics Analyst jobs in Utah? The most popular types of Health Informatics Analyst jobs in Utah are:
What are popular job titles related to Freelance Health Informatics Analyst jobs in Utah? For Freelance Health Informatics Analyst jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Freelance Health Informatics Analyst jobs in Utah look for? The top searched job categories for Freelance Health Informatics Analyst jobs in Utah are:
What cities in Utah are hiring for Freelance Health Informatics Analyst jobs? Cities in Utah with the most Freelance Health Informatics Analyst job openings:

Bioinformatics Analyst - UT

GATC Health

Salt Lake City, UT • On-site

$80K - $90K/yr

Full-time

Re-posted 25 days ago


Job description

Company Overview: GATC Health is an innovative TechBio company at the forefront of revolutionizing pharmaceutical discovery and accelerating their development through the integration of artificial intelligence (AI), science and finance. Our company is dedicated to advancing therapeutic discoveries and improving human health by leveraging the power of technology and interdisciplinary collaboration.
Position Overview: We are seeking a talented Bioinformatics Analyst to join our dynamic, multi-disciplinary team that is responsible for implementing and aiding in design and analysis software and informatics pipelines for primary, secondary, and tertiary analysis of data generated from transcriptional, proteomic, and mult-omic assays. As a Bioinformatics Scientist, you will innovate, develop and implement novel analysis methods for different data types from sparse to large and complex datasets to support the internal development and validation of new pharmaceutical assets and the development of end-user, customer-facing data analysis and visualization for biotech customers and stakeholders. A highly motivated scientist with broad expertise and experience in bioinformatics, computational biology, transcriptomics, proteomics and multi-omics would be an ideal fit for this position.
Roles and Responsibilities
  • Prep and Process data through GATC platform based on customer or internal end user requirements.
  • Implement primary and secondary analysis tools for GATC's assays.
  • Work with cross-disciplinary R&D teams to develop and implement new discovery and risk assessment product applications.
  • Aid in Development and implementation processes and algorithms for multi-modal datasets, scalable to very large numbers of samples.
  • Engage with external collaborators on the evaluation of beta version products and analysis of novel data.

Role Requirements
  • Degree in computational biology, bioinformatics, computer science or similar.
  • Experience analyzing complex multi-omic datasets, including human or single cell data.
  • Experience implementing, and evaluating novel bioinformatics algorithms and pipelines.
  • Experience in programming in scripting (Python or similar) and interpreted languages (R, etc).
  • Demonstrated ability to become proficient in new fields and work with interdisciplinary teams.
  • Excellent verbal/written communication and interpersonal skills with scientist and non-scientists.

Role Preferences
  • Experience using or interfacing with machine learning algorithms.
  • Experience analyzing and interpreting large-scale human or single cell datasets.
  • Experience with professional software development methods and tools in a team environment.
  • Experience in programming in scripting (Python), interpreted (R ) and compiled languages (C++ / Rust / Java).
  • Experience working with collaborators, including lab scientists on multi-omic method development.
  • Experience visualizing scientific datasets and results.
  • Experience using cloud computing environments.
  • Computational biology and bioinformatics innovation.

$80,000 - $90,000 a year
Why Join Us:
• Opportunity to work at the intersection of technology and science, driving innovation in pharmaceutical discovery.
• Collaborative and inclusive work culture that values diversity, creativity, and continuous learning.
• Competitive compensation package, including salary, benefits, and opportunities for professional development.
• Chance to make a meaningful impact on human health and contribute to groundbreaking research and development projects.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.