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Healthcare Data Technology Jobs (NOW HIRING)

You embrace technology and innovation to enhance your delivery and encourage others to do the same ... impact in healthcare. Responsibilities - Apply advanced data science and machine learning ...

Data Architect (Data Platform)

Boston, MA · On-site

$69.25 - $89/hr

As a Data Architect for healthcare applications, you are responsible for innovating, designing and ... A deep knowledge of common data technology stacks such as GCP BigQuery, Snowflake, Databricks, DBT ...

Data Architect (Data Platform)

Boston, MA

$69.25 - $89/hr

As a Data Architect for healthcare applications, you are responsible for innovating, designing and ... A deep knowledge of common data technology stacks such as GCP BigQuery, Snowflake, Databricks, DBT ...

Serve as a thought leader in data services best practices and emerging technologies. Healthcare Data Expertise * Lead the Vital Data data-specification committee achieving alignment with industry ...

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Healthcare Data Technology information

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$10

$35

$79

How much do healthcare data technology jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for healthcare data technology in the United States is $35.52, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $48.32 per hour, depending on experience, location, and employer.

What is the difference between Healthcare Data Technology vs Healthcare Data Analyst?

AspectHealthcare Data TechnologyHealthcare Data Analyst
Required CredentialsDegree in Health Informatics, IT, or related field; certifications like Certified Healthcare Technology Specialist (CHTS)Degree in Health Informatics, Data Science, or related field; certifications like Certified Health Data Analyst (CHDA)
Work EnvironmentHealthcare IT departments, hospitals, clinics, health tech companiesHospitals, clinics, research institutions, healthcare consulting firms
Employer & Industry UsageFocuses on implementing and managing healthcare technology systemsAnalyzes healthcare data to improve patient outcomes and operational efficiency

Healthcare Data Technology professionals focus on deploying and maintaining healthcare IT systems, while Healthcare Data Analysts interpret data to support decision-making. Both roles require similar educational backgrounds and certifications but serve different functions within the healthcare industry.

What is healthcare data technology?

Healthcare data technology involves the use of digital tools, software, and systems to collect, store, analyze, and manage health information. Professionals in this field often work with electronic health records (EHRs), data analytics, and health informatics to improve patient care and operational efficiency.

Is healthcare data analytics a good career?

Healthcare data analytics is a growing field that involves analyzing medical data to improve patient outcomes and operational efficiency. It requires skills in data management, statistical analysis, and familiarity with healthcare systems and tools like SQL and Python. The demand for professionals in this area is increasing due to the expansion of electronic health records and value-based care models.

What are some common challenges faced by professionals in Healthcare Data Technology roles, and how can they be addressed?

Professionals in Healthcare Data Technology often encounter challenges such as integrating disparate data systems, ensuring patient data privacy, and keeping up with rapidly evolving health IT standards. Effective communication with clinical and administrative teams is essential to understand data needs and workflows. Addressing these challenges typically involves ongoing training in compliance regulations like HIPAA, adopting interoperable systems, and fostering a collaborative environment to bridge gaps between IT and healthcare staff.

What are the key skills and qualifications needed to thrive in Healthcare Data Technology, and why are they important?

To thrive in Healthcare Data Technology, you need a solid background in data analysis, healthcare informatics, and database management, typically supported by a degree in computer science, information systems, or health informatics. Familiarity with tools such as SQL, Python, EHR systems, and certifications like Certified Health Data Analyst (CHDA) are highly valuable. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for ensuring data accuracy and collaborating with clinical teams. These competencies are essential for optimizing healthcare delivery, maintaining data integrity, and supporting informed decision-making in a highly regulated environment.

Will healthcare data analyst be replaced by AI?

Healthcare data analysts analyze medical data to improve patient outcomes and operational efficiency. While AI tools can automate data processing and basic analysis, human analysts are needed for interpreting complex insights, making strategic decisions, and ensuring data accuracy. The role is expected to evolve with technology, emphasizing skills in data management, statistical analysis, and healthcare knowledge.

What is the highest paying healthcare tech job?

In healthcare data technology, senior roles such as Healthcare Data Architects or Chief Data Officers tend to have the highest salaries, often exceeding $150,000 annually. These positions require advanced skills in data management, analytics, and often certification in health informatics or related fields.
More about Healthcare Data Technology jobs
Infographic showing various Healthcare Data Technology job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $73,875 per year, or $35.5 per hour.
Payer Healthcare Data Scientist, Manager

Payer Healthcare Data Scientist, Manager

Pwc

Saint Louis, MO

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

18th of 57 rated business consultants


Job description

Industry/Sector

Health Services

Specialism

Operations

Management Level

Manager

Job Description & Summary

At PwC, our people in operations consulting specialise in providing consulting services on optimising operational efficiency and effectiveness. These individuals analyse client needs, develop operational strategies, and offer guidance and support to help clients streamline processes, improve productivity, and drive business performance.
As an operations consulting generalist at PwC, you will possess a broad understanding of various aspects of operations consulting. You will provide comprehensive guidance and support to clients in optimising operational efficiency and effectiveness. Working in this area, you will analyse client needs, develop operational solutions, and offer recommendations tailored to specific business requirements.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Analyse and identify the linkages and interactions between the component parts of an entire system.
Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
Develop skills outside your comfort zone, and encourage others to do the same.
Effectively mentor others.
Use the review of work as an opportunity to deepen the expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Operations Consulting team, you will apply advanced data science and machine learning techniques to large-scale claims, clinical, and member data to surface actionable insights that reduce cost of care and improve population health outcomes for our payer clients. As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff while securing project success and maintaining exemplary standards. This role offers the chance to work on innovative analytics products and collaborate with industry leaders, making a significant impact in healthcare.
Responsibilities
- Apply advanced data science and machine learning methodologies to analyze vast claims and clinical data
- Generate actionable insights aimed at reducing healthcare costs and enhancing population health
- Lead and mentor teams while managing client relationships and expectations
- Secure successful project execution while upholding quality standards
- Collaborate with industry leaders to develop innovative analytics solutions
- Present findings and strategies to senior stakeholders, including Chief Actuaries
- Play a key role in the development of new analytics products for payer strategies
- Foster a culture of continuous improvement and knowledge sharing within the team
What You Must Have
- Bachelor's Degree
- At least 6 years of experience in data science and machine learning
What Sets You Apart
- Master's Degree in Statistics, Computer Science, Applied Mathematics, Biotechnology preferred
- Prior consulting or advisory firm experience preferred
- Contributing to commercial analytics product development
- Familiarity with NCQA HEDIS specifications and CMS Star Ratings
- Knowledge of government payer programs and Medicaid
- Experience with NLP or unstructured clinical text
- Exposure to social determinants of health data integration

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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