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Emr Developer Jobs in Arizona (NOW HIRING)

University of Arizona

Scientific Analyst II

Tucson, AZ · On-site

... institutional EMR data. * Ensure data quality, reproducibility, and compliance with data use ... Expert-level programming skills in Python and/or R; proficiency with ML libraries (scikit-learn ...

SCP Health

Hospitalist Physician

Bullhead City, AZ

EMR: Medhost * Procedures: Required * Moonlighting: No * Tele Coverage: No Qualifications ... Dedicated Chief Wellness Officer and wellness programming for clinicians * Established, respected ...

Tri-City Cardiology

DEVICE SPECIALIST

Mesa, AZ · On-site

$26 - $35/hr

Proficient in the use of multiple Device Manufacturer programmers, EMR (NextGen), and Device Registry Software (Paceart). * Management of remote device checks, alerts and patient enrollment ...

Vangard, Inc.

Data Analyst, Specialist

Scottsdale, AZ · On-site

This role sits at the intersection of data analytics, analytics engineering, and data product ... Experience working in AWS environments (Athena, S3, Glue, SageMaker, EMR, or similar technologies)

NucleusTeq

Partner Alliance Manager, AWS

Phoenix, AZ · On-site

... EMR). Familiarity with best practices for cloud architecture, security, and data management on AWS ... AWS Certified Solutions Architect (Associate/Professional), AWS Certified Developer, or other ...

Nucleusteq

Partner Alliance Manager, AWS

Phoenix, AZ · On-site

... EMR). Familiarity with best practices for cloud architecture, security, and data management on AWS ... AWS Certified Solutions Architect (Associate/Professional), AWS Certified Developer, or other ...

NucleusTeq

Partner Alliance Manager, AWS

Phoenix, AZ · On-site

... EMR). Familiarity with best practices for cloud architecture, security, and data management on AWS ... AWS Certified Solutions Architect (Associate/Professional), AWS Certified Developer, or other ...

mhchealth

Behavioral Health Consultant

Marana, AZ

... programming needs. * Works with medical and behavioral health teams to ensure the appropriate ... Completes timely and accurate charting (within 24 hours) on all patient contacts utilizing EMR as ...

MHC Healthcare

Behavioral Health Consultant

Marana, AZ · On-site

$62K - $85K/yr

... programming needs. * Works with medical and behavioral health teams to ensure the appropriate ... Completes timely and accurate charting (within 24 hours) on all patient contacts utilizing EMR as ...

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All JobsEmr Developer JobsEmr Developer Jobs in Arizona

Emr Developer information

See Arizona salary details

$22.3K

$85.5K

$155.8K

How much do emr developer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for emr developer in Arizona is $85,529.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,174.00 and $116,505.00 per year, depending on experience, location, and employer.

What is the difference between Emr Developer vs Data Analyst?

AspectEmr DeveloperData Analyst
Required SkillsSQL, scripting, ETL, cloud platformsData visualization, statistical analysis, SQL
Work EnvironmentHealthcare IT, cloud environmentsBusiness intelligence, finance, marketing
CertificationsEMR-specific certifications, cloud certificationsNone specific, often BI or analytics certifications

Emr Developers focus on building and maintaining electronic medical record systems, often working within healthcare IT and cloud environments. Data Analysts interpret data to support business decisions, working across various industries. While both roles require SQL and data handling skills, Emr Developers emphasize EMR systems and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

What is an EMR Developer?

An EMR Developer is a software professional who specializes in designing, developing, and maintaining Electronic Medical Record (EMR) systems used in healthcare settings. They work to ensure that these systems are secure, user-friendly, and compliant with health regulations such as HIPAA. EMR Developers often collaborate with healthcare providers to customize workflows, integrate third-party applications, and maintain data accuracy and security. Their role is crucial in helping healthcare organizations streamline patient data management and improve care delivery.

What are some common challenges EMR Developers face when integrating third-party systems with electronic medical record platforms?

EMR Developers often encounter challenges when integrating third-party systems, such as ensuring data interoperability, maintaining compliance with healthcare regulations like HIPAA, and dealing with varying standards across platforms (e.g., HL7, FHIR). Additionally, balancing legacy system compatibility with new technologies can be complex. Successful integration requires strong collaboration with clinical, compliance, and IT teams to ensure a seamless and secure data flow that supports healthcare operations.

What are the key skills and qualifications needed to thrive as an EMR Developer, and why are they important?

To thrive as an EMR Developer, you need strong programming skills (such as Java, C#, or Python), knowledge of healthcare standards like HL7 or FHIR, and a background in software engineering or computer science. Familiarity with electronic medical record (EMR) systems, database management, and tools like Epic, Cerner, or Meditech is typically required, along with relevant certifications. Strong problem-solving abilities, attention to detail, and effective communication with clinical staff and IT teams are essential soft skills. These skills ensure the development of secure, compliant, and user-friendly EMR solutions that support clinical workflows and patient care.
What are popular job titles related to Emr Developer jobs in Arizona? For Emr Developer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Emr Developer jobs in Arizona look for? The top searched job categories for Emr Developer jobs in Arizona are:
What cities in Arizona are hiring for Emr Developer jobs? Cities in Arizona with the most Emr Developer job openings:
Emr Developer jobs near you
Infographic showing various Emr Developer job openings in Arizona as of July 2026, with employment types broken down into 86% Full Time, 4% Part Time, 1% Temporary, and 9% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $85,529 per year, or $41.1 per hour.
Scientific Analyst II

Scientific Analyst II

University of Arizona

Tucson, AZ • On-site

Other

Posted 20 days ago

University Of Arizona rating

7.2

Company rating: 7.2 out of 10

Based on 67 frontline employees who took The Breakroom Quiz

338th of 546 rated colleges and universities

Job description

Data Analysis and Machine Learning Pipeline Development:

  • Under moderate guidance collaborate in the design, develop, and execution of machine learning and AI-driven analytical pipelines to analyze large-scale biomedical datasets from UK Biobank, All of Us, Insight, and electronic medical records.
  • Apply supervised and unsupervised machine learning algorithms (e.g., logistic regression, random forests, deep learning) to identify risk factors, biomarkers, and patterns associated with neurodegenerative diseases and the effects of menopausal hormone therapy (MHT) on brain health.
  • Collaborate on the development and validation of predictive models integrating genomic, clinical, lifestyle, and imaging data using general knowledge of principals, theories and concepts.

Drug Repurposing Research and Bioinformatics Analysis:

  • Collaborating in computational drug repurposing analyses to identify existing FDA-approved compounds with potential efficacy for AD, PD, MS, and ALS prevention and treatment. Integrate multi-omics data (genomics, transcriptomics, proteomics) with clinical outcomes data to prioritize drug candidates.
  • Collaborate with wet lab and clinical teams to support translational interpretation of findings.

Epidemiological and Clinical Data Management and Harmonization:

  • Access, curate, harmonize, and manage large population-based datasets including UK Biobank, All of Us, and institutional EMR data.
  • Ensure data quality, reproducibility, and compliance with data use agreements and IRB protocols.
  • Collaborate in the develop and maintenance of reproducible data pipelines using Python, R, and high performance computer.
  • Perform statistical analyses including survival analysis, longitudinal modeling, and causal inference.

Scientific Communication, Dissemination, and Collaboration:

  • Compare and contribute to peer-reviewed manuscripts, conference presentations, and grant applications reporting research findings on MHT, menopause, and neurodegenerative disease.
  • Present results to interdisciplinary research teams, departmental seminars, and external stakeholders.
  • Collaborate closely with Dr. Francesca Vitali, co-investigators, and consortium partners. Maintain thorough documentation of analytical methods to ensure transparency and reproducibility.
  • Participate in lab meetings, journal clubs, and professional development activities.

Research Infrastructure and Continuous Improvement:

  • Maintain and improve lab computational infrastructure, including code repositories (GitHub), analytical workflows, and documentation standards.
  • Evaluate and adopt emerging AI/ML tools and methodologies relevant to brain science research.
  • Assist in training junior lab members or graduate students on data science methods and tools as needed.
  • Stay current with literature in neurodegenerative disease, computational.

Knowledge, Skills and Abilities:

  • Strong theoretical and applied knowledge of machine learning, deep learning, and statistical modeling.
  • Strong data wrangling and preprocessing skills for large, heterogeneous datasets.
  • Expert-level programming skills in Python and/or R; proficiency with ML libraries (scikit-learn, TensorFlow, PyTorch, XGBoost).
  • Knowledge of drug repurposing methodologies or network pharmacology.
  • Knowledge and familiarity with electronic medical records data analysis.
  • Knowledge and proficiency with SQL and database management.
  • Ability to collaborate effectively within interdisciplinary teams spanning data science, neuroscience, clinical research, and epidemiology.
  • Ability to manage multiple concurrent projects and meet deadlines.
  • Ability to critically evaluate scientific literature and translate findings into research hypotheses and analytical strategies.
  • Ability to communicate complex analytical results clearly to both technical and non-technical audiences.

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