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Clinical Informatics Data Analyst Jobs in Woonsocket, RI

Manage an enterprise data model in collaboration with clinicians, data scientists, engineers ... You have domain knowledge in healthcare and informatics data. * You have experience and knowledge ...

Sr Business Data Analyst

Canton, MA · Hybrid

$90K - $114K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data knowledge in finance or clinical side of insurance business; demonstrated ability to develop and deliver data analytic solutions of a complex nature. * Demonstrated ability to manage multiple ...

Sr Business Data Analyst

Canton, MA · On-site

$90K - $114K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data knowledge in finance or clinical side of insurance business; demonstrated ability to develop and deliver data analytic solutions of a complex nature. * Demonstrated ability to manage multiple ...

Principal Scientific Data Architect

Boston, MA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... analysis. Data Architect Duties: Develop data and information models to integrate data as part of ... clinical development or commercial manufacture processes and lab informatics systems Ability to ...

Showing results 21-40

Clinical Informatics Data Analyst information

See Woonsocket, RI salary details

$40.7K

$82K

$119.8K

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

As of Aug 15, 2026, the average yearly pay for clinical informatics data analyst in Woonsocket, RI is $82,033.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $95,800.00 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.

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 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.

What are popular job titles related to Clinical Informatics Data Analyst jobs in Woonsocket, RI?

For Clinical Informatics Data Analyst jobs in Woonsocket, RI, the most frequently searched job titles are:

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

The top searched job categories for Clinical Informatics Data Analyst jobs in Woonsocket, RI are:

Infographic showing various Clinical Informatics Data Analyst job openings in Woonsocket, RI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $82,033 per year, or $39.4 per hour.

$120K - $170K/yr

Full-time

Re-posted 13 days ago


Job description

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

Tempus is executing on the mission to create the world's largest, integrated dataset of multimodal healthcare and clinical data. At Tempus, products are owned and developed by small, autonomous teams composed of developers, designers, data scientists, clinicians, and product managers. You and your team set the goals, build the software, deploy the code, and contribute to a growing software platform that will make a lasting impact in the field of cardiovascular research and treatment.

Tempus builds software as nimble as our teams. Our modern tech stack - Python, dbt and BigQuery on GCP - allows our teams to iterate rapidly and lead our industry in innovation. Our decentralized, microservice architecture and emphasis on automation allow us to deliver advanced solutions with confidence, and at scale.

What You'll Do

  • Manage an enterprise data model in collaboration with clinicians, data scientists, engineers, product managers, and operators to integrate clinical data from source systems in multiple complex domains (clinical records, EHR data, ECG data, radiology, et al.).

  • Author and maintain entity-relationship diagrams, data dictionaries, API specs, and data translation documentation at multiple levels of abstraction (conceptual, logical, physical) and across multiple data store technologies (transactional, analytical).

  • Implement solutions to transform source data to a common data model

  • Collaborate with clinicians and data scientists to implement and validate feature definitions for clinical endpoints aligned with modeling priorities.

  • Implement solutions to proactively monitor data quality with traceability to source systems.

  • Evaluate completeness of source system data models and data by profiling partner data.

  • Advocate and educate engineering team members on data modeling rules, standards, and best practices.

Why we're looking for you:

  • You have domain knowledge in healthcare and informatics data.

  • You have experience and knowledge of different data modeling techniques (e.g. 3NF, dimensional (star schema), and data vault).

  • You have applied exceptional SQL skills in an enterprise data warehouse environment.

  • You have knowledge of ETL/ELT and BI architectures, concepts and frameworks, and experience implementing them.

  • You understand and can clearly articulate the long-term impacts of key decisions between database technologies (relational, MPP, NoSQL) and have experience architecting solutions across multiple technologies.

  • You have experience with data modeling tools like Erwin, Vertabelo or Lucidchart.

Bonus points for:

  • Experience with GCP architecture, particularly with BigQuery

  • Experience working with clinical and cardiovascular (echo, cath, ECG) data

  • Experience with Epic tables

  • Experience with HL7 data

  • Experience writing and debugging Python

  • Experience working with dbt

  • Implementing master, reference, or metadata management solutions

#LI-BL1

CHI: $110,000-$160,000

NYC/Boston: $120,000-$170,000

The expected salary range above is applicable if the role is performed from Illinois and may vary for other locations (California, Colorado, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.