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Director Health Informatics Data Analyst Jobs in Pennsylvania

Data Analyst

Mechanicsburg, PA ยท Hybrid

$114K/yr

AOPC/IT is hiring an experienced Data Analyst with strong skills in data analysis, visualization ... Two telework days per week available after training. * Healthcare flexible spending account. * 6 ...

Data Analyst

Mechanicsburg, PA ยท On-site

$114K/yr

AOPC/IT is hiring an experienced Data Analyst with strong skills in data analysis, visualization ... Two telework days per week available after training. * Healthcare flexible spending account. * 6 ...

About ParetoHealth ParetoHealth is redefining the way employers fund healthcare. As the largest and ... As a Data Analyst, you will partner closely with Data Scientists and cross-functional stakeholders ...

About ParetoHealth ParetoHealth is redefining the way employers fund healthcare. As the largest and ... As a Data Analyst, you will partner closely with Data Scientists and cross-functional stakeholders ...

About The Team At ParetoHealth, the Analytics team sits at the intersection of healthcare data, business strategy, and decision-making. We work with rich medical, pharmacy, stoploss, and business ...

Conduct data quality analysis and provide recommendations for effective quality assurance processes that improve data health * Interpret data and analyze results using statistical techniques that ...

Data Analyst

Pittsburgh, PA ยท On-site

$45 - $50/hr

Hands-on experience investigating and remediating data quality issues including root cause analysis ... Health Savings Account (HSA) * Disability Insurance (Short-Term and Long-Term) * Life and AD&D ...

Data Analyst

Philadelphia, PA ยท On-site

$17.92/hr

The Data Analyst performs technical efforts including creating and modifying alarm accounts ... COMPENSATION: $17.92/hr $5.09 Health & Welfare RESPONSIBILITIES: * Validate/maintain information ...

The Data Analyst performs technical efforts including creating and modifying alarm accounts ... COMPENSATION: $17.92/hr $5.09 Health & Welfare RESPONSIBILITIES: * Validate/maintain information ...

This is a hands-on role that combines rigorous real-world evidence analysis with deep collaboration ... informatics, or health economics). PhD preferred; strong industry experience can substitute for the ...

Showing results 21-40

Director Health Informatics Data Analyst information

What does a Director Health Informatics Data Analyst do?

A Director Health Informatics Data Analyst oversees the collection, management, and analysis of healthcare data to improve patient outcomes, operational efficiency, and regulatory compliance. They lead teams of data analysts, collaborate with clinical and IT staff, and ensure that data systems support organizational goals. Their responsibilities often include developing data-driven strategies, ensuring data quality, and presenting insights to executive leadership for decision-making. The role requires a blend of technical expertise, leadership skills, and a deep understanding of healthcare operations.

What are the key skills and qualifications needed to thrive as a Director Health Informatics Data Analyst?

To thrive as a Director Health Informatics Data Analyst, you need deep expertise in health informatics, data analytics, and healthcare regulations, often supported by an advanced degree in health informatics, information systems, or a related field. Mastery of data management tools (such as SQL, SAS, and Python), electronic health records (EHR) systems, and certifications like Certified Health Data Analyst (CHDA) are typically required. Exceptional leadership, strategic thinking, and communication skills help in managing teams and collaborating across departments. These combined skills ensure effective data-driven decision-making, regulatory compliance, and improved healthcare outcomes.

How does a Director Health Informatics Data Analyst typically collaborate with clinical and IT teams to drive healthcare data initiatives?

A Director Health Informatics Data Analyst often serves as a bridge between clinical staff and IT departments, facilitating clear communication about data needs and system capabilities. They work closely with clinicians to understand workflow challenges and identify opportunities where data analysis can improve patient outcomes. At the same time, they collaborate with IT specialists to implement and optimize data systems, ensuring that health informatics tools are user-friendly and compliant with healthcare regulations. This cross-functional teamwork is essential for translating raw data into actionable insights that support clinical decision-making and organizational goals.

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

AspectDirector Health Informatics Data AnalystHealth Informatics Data Analyst
ResponsibilitiesOversees data strategies, manages teams, and aligns projects with organizational goalsAnalyzes healthcare data, develops reports, and supports decision-making
Required SkillsLeadership, project management, advanced data analysisData analysis, technical skills, healthcare knowledge
CertificationsCertified Health Data Analyst (CHDA), project management certificationsCHDA, health informatics certifications
Work EnvironmentHealthcare organizations, hospitals, health systemsHealthcare settings, clinics, health IT departments

The main difference is that the Director Health Informatics Data Analyst holds a leadership role, overseeing teams and strategic initiatives, while the Health Informatics Data Analyst focuses on data analysis and reporting. Both roles require healthcare data expertise and relevant certifications, but the director position involves higher-level management responsibilities.

What are the most commonly searched types of Health Informatics Data Analyst jobs in Pennsylvania?

The most popular types of Health Informatics Data Analyst jobs in Pennsylvania are:

Computational Data Scientist II

University of Pittsburgh

Pittsburgh, PA โ€ข On-site

Full-time

Re-posted yesterday


Job description

The Bioinformatics Core within the Division of Health Informatics at UPMC Children's Hospital of Pittsburgh is seeking a computational biologist or data scientist to develop and apply machine learning and deep learning methods for omics-driven biomedical research. This individual will work closely with faculty and collaborators across multiple pediatric research programs to support biologically grounded, translationally relevant research. Equivalent relevant work experience may be substituted for degree requirement. This position is located at UPMC Children's Hospital of Pittsburgh in Lawrenceville. PA Child Abuse History Clearance, PA State Police Criminal Record Check, and FBI Criminal Record Check will be required prior to the start of employment. Also, a current TB test will be required as a condition of employment. EEO/AA/M/F/Vets/Disabled.
Minimum Qualifications
Applicants should have an MS or PhD in computational biology, bioinformatics, computer science, statistics, data science, biomedical informatics, or a related quantitative field.
The successful candidate should have strong programming skills in Python and/or R, with experience using libraries such as PyTorch, TensorFlow, scikit-learn, or comparable tools. Experience in applying computational or statistical modeling to biomedical or biological datasets is expected.
Prior experience working with single-cell, spatial omics, or related high-dimensional omics datasets is highly desirable. Candidates should be strong critical thinkers who can translate ideas into completed analyses, models, or tools; manage contributions across multiple collaborative research projects; work independently and as part of multidisciplinary teams; and demonstrate strong oral and written communication skills.
Preferred qualifications include:
โ€ข Demonstrated experience designing and implementing models for high-dimensional biological data, beyond routine application of existing analysis pipelines.
โ€ข Hands-on experience with graph neural networks or perturbation modeling.
โ€ข Experience integrating omics data with clinical data sources such as electronic health records (EHR).
โ€ข Evidence of independent technical contribution, such as first-author or co-author publications, preprints, conference presentations, open-source software, deployed tools, analytical pipelines, or a relevant project portfolio.