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Healthcare Data Analyst R Python Sql Jobs (NOW HIRING)

Apex Informatics

Data Scientist

Pleasanton, CA · On-site

Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw ... Client Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Client Insights, etc.

Loopback LLC

RWD Data Analyst

Dallas, TX

$25 - $35/hr

This position will give exposure to how healthcare data is used to support clinical research across ... Health, or related). * Exposure to SQL and at least one scripting/statistical language (Python, R)

Redolent, Inc

Data Analyst

Bentonville, AR

Data Analyst LOCATION:Bentonville, AR Duration: 6 to 12+ Months Rate: DOE J ob Duties: Analyze ... sql languages, R, Python Worked on gathering data from Cassandra, Kafka, MongoDBs. Work with big ...

Sentara

Senior Healthcare Data Analyst - Remote

Centre, AL · Remote

$81K - $102K/yr

Overview The Healthcare Data Analyst Senior provides data analysis support to the customer by ... Must have advanced-level skills in Microsoft Excel, SQL, Power BI, data validation, dashboard ...

LSU AgCenter

Data Analyst 2 / 3

Campus, IL · On-site

Knowledge of statistical analysis software (e.g., R, Python). Familiarity of Excel, SQL, and data ... including health, life, dental, and vision insurance; flexible spending accounts; retirement ...

Beyond SOF

Senior Data Analyst

Mclean, VA

$86K - $109K/yr

SQL, R, Python, Java * Active TS/SCI clearance with polygraph required #AvantusClearedJobs * The status of applicable COVID-19 vaccination requirements under Executive Order 14042 are subject to ...

Narwal

Senior Data Analyst

Mason, OH · On-site

$80K - $102K/yr

Proficiency with sophisticated analytics tools and programming languages (e.g., R, Python, SQL, HiveQL) and visualization platforms (Webfocus, Tableau etc) * Knowledge of Big Data landscape as ...

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Healthcare Data Analyst R Python Sql information

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$34K

$82.6K

$136K

How much do healthcare data analyst r python sql jobs pay per year?

As of Jun 17, 2026, the average yearly pay for healthcare data analyst r python sql in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What jobs can you get with SQL and Python?

Healthcare Data Analysts and data professionals use SQL and Python to manage, analyze, and visualize large datasets, often working in healthcare, finance, or technology sectors. These skills are essential for roles involving data extraction, cleaning, statistical analysis, and reporting, and they often require familiarity with tools like Jupyter Notebooks and data visualization libraries.

Is Python and SQL enough for a data analyst?

For a Healthcare Data Analyst, proficiency in Python and SQL is fundamental for data extraction, cleaning, and analysis. However, additional skills such as data visualization, statistical knowledge, and understanding healthcare-specific data are often required to perform comprehensive analysis and communicate insights effectively.

What are the key skills and qualifications needed to thrive as a Healthcare Data Analyst specializing in R, Python, and SQL, and why are they important?

To thrive as a Healthcare Data Analyst, you need strong analytical skills, experience with healthcare data standards, and a background in statistics or a related field, often supported by a degree in health informatics, data science, or a similar discipline. Proficiency in R, Python, and SQL, along with familiarity with tools like Tableau or Power BI and knowledge of HIPAA regulations, is typically required. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for translating complex data into actionable insights for healthcare stakeholders. These skills ensure data is accurately interpreted and leveraged to improve patient outcomes, operational efficiency, and regulatory compliance.

What is the difference between Healthcare Data Analyst R Python Sql vs Healthcare Data Scientist R Python Sql?

AspectHealthcare Data Analyst R Python SqlHealthcare Data Scientist R Python Sql
CredentialsBachelor's in health informatics, data analysis, or related fields; certifications like CPC or CAPMaster's or PhD in data science, statistics, or related fields; advanced certifications
Work EnvironmentHospitals, clinics, healthcare providers, insurance companiesResearch institutions, healthcare tech companies, pharmaceutical firms
Job FocusData reporting, cleaning, basic analysis, supporting decision-makingAdvanced modeling, predictive analytics, machine learning, research

Healthcare Data Analysts and Healthcare Data Scientists both work with R, Python, and SQL in healthcare settings. Analysts focus on data reporting and supporting operational decisions, while Data Scientists handle complex modeling and predictive analytics. The main difference lies in the depth of analysis and required expertise, with Data Scientists typically possessing advanced degrees and skills for more sophisticated data modeling.

What are Healthcare Data Analysts and what do they do?

Healthcare Data Analysts are professionals who collect, process, and analyze healthcare data to help organizations make informed decisions. They use tools such as R, Python, and SQL to clean and interpret large datasets, identify trends, and generate reports. Their work supports hospital management, clinical research, and public health initiatives by uncovering insights that improve patient outcomes and operational efficiency. Healthcare Data Analysts often collaborate with clinicians, administrators, and IT teams to solve complex healthcare problems.

Can Python and SQL work together?

Healthcare Data Analysts often use Python and SQL together to extract, manipulate, and analyze healthcare data efficiently. Python libraries like pandas and SQL queries are commonly integrated to automate workflows and improve data accuracy in healthcare environments.

Will healthcare data analyst be replaced by AI?

Healthcare data analysts using skills in R, Python, and SQL play a crucial role in interpreting complex health data. While AI can automate routine data processing and analysis tasks, human expertise is essential for contextual understanding, decision-making, and ensuring data quality, so the role is likely to evolve rather than be fully replaced.

How does a Healthcare Data Analyst using R, Python, and SQL typically collaborate with clinical teams and IT departments?

Healthcare Data Analysts often work closely with clinical teams to understand their data needs and translate medical questions into actionable data queries. They also collaborate with IT departments to ensure data integrity, proper data extraction, and compliance with healthcare regulations like HIPAA. Regular meetings and cross-functional projects are common, requiring strong communication skills to bridge the technical and clinical perspectives. This teamwork helps deliver insights that improve patient outcomes and operational efficiency.
Infographic showing various Healthcare Data Analyst R Python Sql job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Senior Manager, Clinical Data Analytics (Contractor)

Senior Manager, Clinical Data Analytics (Contractor)

Eikon Therapeutics

Jersey City, NJ

$75.48 - $82.21/hr

Other

Posted 6 days ago

Job description

Position Summary
We are seeking a highly motivated and innovative Clinical Data Analytics Developer for a 4-month contract engagement focused on the design and development of advanced analytics solutions supporting Clinical Data Management. This is a hands-on development role with a primary focus on building a Clinical Systems Audit Trail Review platform leveraging modern analytics, visualization, machine learning, and emerging AI technologies. The consultant will work closely with Clinical Data Management and cross-functional stakeholders to develop intelligent review workflows, anomaly detection capabilities, operational dashboards, and data-driven monitoring solutions across clinical study systems. The successful candidate will have strong experience developing data applications using R Shiny, R, Python, SQL, and modern visualization technologies. Experience working with clinical trial data, clinical systems, and regulated environments is highly desirable. This role offers an opportunity to contribute to innovative initiatives involving machine learning, intelligent analytics, and evaluation of future AI-enabled capabilities for clinical data review and operational oversight.


Key Responsibilities
During the engagement, the consultant will be expected to:

  • Lead development of an Audit Trail Review application supporting clinical systems such as EDC, RTSM, eCOA/ePRO, and related clinical platforms.
  • Build interactive dashboards and analytics workflows supporting clinical data review and operational monitoring.
  • Develop anomaly detection and risk identification capabilities using statistical and machine learning techniques.
  • Evaluate future AI-enabled opportunities including intelligent review assistants, AI-assisted analytics, and agent-based workflows.
  • Provide recommendations regarding AI technology utilization, security considerations, operational feasibility, scalability, and cost implications.
  • Deliver documentation and technical knowledge transfer materials to support future enhancements and long-term maintenance.
  • Design, develop, and maintain clinical analytics applications, dashboards, and reporting solutions using R Shiny, R, Python, SQL, and modern visualization tools.
  • Develop data review, monitoring, and risk identification capabilities using statistical and machine learning techniques.
  • Collaborate with Clinical Data Management and cross-functional stakeholders to gather requirements, validate solutions, and deliver high-quality applications.
  • Create technical documentation and support knowledge transfer activities.

Required Qualifications

  • 8+ years of experience with a Bachelor's degree, or 6+ years with a post graduate degree in Computer Science, Data Science, Statistics, Bioinformatics, Life Sciences, or related field. 
  • Minimum 3 years of experience developing analytics, reporting, dashboard, or software solutions.
  • Experience with R, R Shiny, Python and SQL.
  • Experience developing dashboards, data visualizations, and interactive applications.
  • Hands-on experience developing, implementing, or evaluating Machine Learning (ML) models and AI-driven solutions for data analytics, pattern recognition, anomaly detection, automation, or decision support applications.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work independently and manage multiple priorities.

The expected hourly range for this role is $75.48 to $82.21 depending on skills, competency, and the market demand for your expertise.

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