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Clinical Informatics Data Analyst Jobs in Pittsburgh, PA

... affecting clinical, operational, and analytics data. Reporting to the Senior Manager, Data ... Advises Informatics on the data definitions and quality standards that must be reflected in ...

Five or more years of experience in product ownership, product management, business analysis, or a ... Experience partnering directly with clinicians, medical affairs, or clinical informatics teams, and ...

Data Science Tutor

Pittsburgh, PA · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

... Clinical, Informatics, Pharmacy Services, Human Resources, and Legal Counsel to integrate ... analytical, and problem-solving skills. · Ability to communicate complex regulatory requirements ...

Showing results 21-40

Clinical Informatics Data Analyst information

See Pittsburgh, PA salary details

$41.3K

$83.1K

$121.4K

How much do clinical informatics data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for clinical informatics data analyst in Pittsburgh, PA is $83,111.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $97,100.00 per year, depending on experience, location, and employer.

What does a clinical informatics data analyst do?

A Clinical Informatics Data Analyst is responsible for collecting, analyzing, and interpreting healthcare data to improve patient care and operational efficiency. They work closely with clinical staff and IT teams to develop reports, dashboards, and data-driven insights that inform decision-making. Their duties often include cleaning and organizing data, ensuring data integrity, and supporting electronic health record (EHR) systems. They play a vital role in identifying trends, optimizing workflows, and ensuring compliance with healthcare regulations.

What skills and qualifications are needed to thrive as a clinical informatics data analyst?

To thrive as a Clinical Informatics Data Analyst, you typically need a background in healthcare, data analysis, and informatics, often supported by a degree in health informatics, data science, or a related field. Experience with electronic health record (EHR) systems, SQL, data visualization tools like Tableau or Power BI, and relevant certifications such as Certified Health Data Analyst (CHDA) are also valuable. Strong problem-solving, attention to detail, and effective communication skills enable analysts to interpret data accurately and collaborate with clinical teams. These competencies are essential for transforming complex healthcare data into actionable insights that improve patient outcomes and operational efficiency.

How does a clinical informatics data analyst collaborate with clinicians and IT teams to improve healthcare outcomes?

Clinical Informatics Data Analysts frequently act as a bridge between clinical staff and IT departments. They work closely with clinicians to understand workflow needs and data challenges, then translate those requirements into technical solutions or data reports. Regular meetings, project updates, and cross-functional teams are common, allowing the analyst to ensure that the data systems effectively support patient care and operational goals. This collaboration is vital for implementing new technologies, optimizing electronic health records, and ensuring data-driven decision-making in healthcare settings.

What is the difference between Clinical Informatics Data Analyst vs Clinical Data Coordinator?

AspectClinical Informatics Data AnalystClinical Data Coordinator
CredentialsBachelor's in health informatics, data analysis, or related field; certifications like CPHIMS beneficialBachelor's in health sciences, nursing, or related field; often requires experience in clinical data management
Work EnvironmentHospitals, clinics, health IT companies, research institutionsHospitals, clinics, healthcare facilities, research settings
Primary FocusAnalyzing clinical data, developing reports, supporting informatics projectsManaging and maintaining clinical data, data entry, quality assurance

The Clinical Informatics Data Analyst focuses on analyzing and interpreting clinical data to support healthcare decisions, while the Clinical Data Coordinator manages and ensures the accuracy of clinical data entry and maintenance. Both roles work within healthcare settings but have different primary responsibilities related to data handling and analysis.

What job categories do people searching Clinical Informatics Data Analyst jobs in Pittsburgh, PA look for?

The top searched job categories for Clinical Informatics Data Analyst jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Clinical Informatics Data Analyst jobs?

Cities near Pittsburgh, PA with the most Clinical Informatics Data Analyst job openings:

Infographic showing various Clinical Informatics Data Analyst job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 64% Full Time, and 36% Contract. Highlights an 100% In-person job distribution, with an average salary of $83,111 per year, or $40 per hour.

Clinical Data Scientist

RedSail Technologies, LLC

Warrendale, PA • On-site, Remote

$140K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


Job description

Clinical Data ScientistJob Summary

The RedSail Advantage Solutions has the primary mission to create incremental value streams for RedSail through the development and activation of Clinical, Financial, & Operational Programs that leverage our uniquely integrated technology platforms as well as our associated reach within the targeted market segments. The Clinical Data Scientist, will participate in the making use of RedSail’s data to evaluate and establish various impactful programs to accomplish and assist with the measurement of program effectiveness against the department objectives.

Key Duties
  • Data Collection: Gathering data from various sources, such as databases, APIs, web scraping, and more. This can involve collecting structured and unstructured data.
  • Data Cleaning: Preprocessing the collected data to handle missing values, remove duplicates, correct inconsistencies, and address outliers. This step ensures data quality and reliability.
  • Data Exploration (Exploratory Data Analysis, EDA): Analyzing the main characteristics of the data often through visualization and summary statistics. This helps in understanding data distributions, relationships between variables, and identifying patterns or anomalies.
  • Data Transformation: Modifying data into a suitable format for analysis, such as normalization, standardization, or creating new features (feature engineering).
  • Data Visualization: Creating visual representations of data, such as graphs, charts, and dashboards, to communicate findings effectively. Tools like Matplotlib, Seaborn, and Tableau are commonly used.
  • Statistical Analysis: Applying statistical methods to understand data distributions, test hypotheses, and infer relationships. This can include t-tests, chi-square tests, ANOVA, and regression analysis.
  • Data Communication: Presenting findings, insights, and recommendations to stakeholders through reports, presentations, and storytelling. Effective communication is crucial for decision-making.
  • Collaboration with Domain Experts: Working with professionals from various fields to ensure that the data science approach aligns with business goals and that the results are meaningful and actionable.
  • Keeping Up with Industry Trends: Continuously learning and adapting to new tools, technologies, and methodologies in data science to stay current and effective in the field.
  • Ethical Considerations and Compliance: Ensuring that data usage complies with ethical standards and legal regulations, such as data privacy laws (e.g., HIPAA)
Education/Training
  • Bachelor’s degree in Data Science, Data Engineering, or similar data relevant computer science/software development degree. Doctor of Pharmacy with data credentials or extensive data experience may substitute for formal education in Data Science.
Required Work Skills/Experience
  • Pharma/Pharmacy/Healthcare experience.
  • Experience programming with SQL scripting.
  • Experience with data analytics visualization tools such as PowerBI and Tableau.
  • Ability to transform complex data across multiple platforms into concise datasets.
  • Ability to visualize data in the most effective way possible for a given project or study.
  • Strong analytical and problem-solving skills; inquisitive.
  • Ability to work independently and with team members from different backgrounds and collaborative styles.
  • Excellent attention to detail with critical thinking skills.
Preferred Work Skills/Experience
  • A combination of both Doctor of Pharmacy and degree in Data Science, Data Engineering, or similar data relevant computer science/software development degree (i.e. Pharmacist Data Scientist) strongly preferred.
  • 2 years of experience as a Data Analyst, Data Scientist or Data Engineer.
  • Experience with Pharma/Pharmacy transactions.
  • Experience programming with Python or Go Lang.
Discretionary Judgement
  • Uses independent judgment and discretion based upon the employee’s experience in the position and knowledge of the products, equipment, and services.
  • Uses good judgment and possesses ethical work values.
Physical Demands/Working Conditions/General Employment
  • Moderate or high stress levels may be experienced in the job performance.
  • Position is performed in a general office environment, home office, or approved remote workspace where physical work includes, but is not limited to, sitting, standing, reaching, kneeling, bending, and lifting to 25 lbs.
Equipment
  • Daily use of Microsoft Teams (phone), computer, printer, and other routine office equipment.
  • Must have reliable and consistent internet access.
Safety to Self and Others
  • Little responsibility for the safety of others. Job is performed in an office setting where there are no hazardous materials or equipment.
Working Conditions/Hazards
  • Position is performed in an open office environment or approved remote work location.
Compensation & Total Rewards
  • The anticipated base salary range for this position is $140,000-$145,000 annually. This position is also eligible for an annual target bonus of 4%. Actual compensation will be determined based on factors including relevant experience, skills, qualifications, and geographic location.
  • Benefits include paid time off, medical, dental, and vision insurance, a 401(k) with a 5% company match, a fitness bonus, professional development opportunities, and programs that support overall well-being.
Work Location
  • Hybrid at a RedSail Office
    • Spartanburg, SC
    • Irving, TX
    • Shreveport, LA
    • Oak Brook, IL
    • Cranberry Township, PA
    • Long Island, NY