ZipRecruiter

Log In

1

Data Science In Healthcare Jobs in Arizona (NOW HIRING)

Unitek Learning

People Data Scientist

Tempe, AZ · On-site

Company Description As a leading healthcare education organization, Unitek Learning's family of ... Bachelor's degree in data science, Statistics, Mathematics, Economics, Industrial-Organizational ...

Unitek Learning

People Data Scientist

Tempe, AZ · On-site

Company Description As a leading healthcare education organization, Unitek Learning's family of ... Bachelor's degree in data science, Statistics, Mathematics, Economics, Industrial-Organizational ...

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ · On-site

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of ... Your expertise in transformer-based models, retrieval-augmented generation (RAG), and vector ...

PayPal

Sr Data Scientist

Scottsdale, AZ

$123K - $183K/yr

Drive best practices in data science. * Ensure data quality and integrity in all processes ... healthcare coverage for you and your family, and resources to create financial security and ...

Intel

Data Science and Analytics Intern

Phoenix, AZ · On-site

In this role, you will gain hands-on experience collecting, analyzing, and interpreting large-scale ... It consists of competitive pay, stock bonuses, and benefit programs which include health ...

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of ... Your expertise in transformer-based models, retrieval-augmented generation (RAG), and vector ...

next page

Showing results 1-20

All JobsData Science In Healthcare JobsData Science In Healthcare Jobs in Arizona

Data Science In Healthcare information

See Arizona salary details

$42.9K

$153.8K

$226.9K

How much do data science in healthcare jobs pay per year?

As of Jun 29, 2026, the average yearly pay for data science in healthcare in Arizona is $153,778.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $158,400.00 per year, depending on experience, location, and employer.

Can a data scientist work in healthcare?

A data scientist can work in healthcare by analyzing medical data, developing predictive models, and supporting clinical decision-making. Skills in machine learning, statistical analysis, and familiarity with healthcare data standards like HIPAA are important for this role.

Who has more salary, a doctor or a data scientist?

Generally, doctors tend to have higher salaries than data scientists, especially in specialized medical fields. Data scientists in healthcare can earn competitive salaries, particularly with advanced skills in machine learning and healthcare analytics, but overall, medical doctors often have higher compensation due to their extensive training and responsibilities.

Is 30 too late for data science?

Data science in healthcare is accessible at any age, including at 30, especially with relevant skills in programming, statistics, and domain knowledge. Many professionals transition into data science later in their careers by gaining certifications or completing relevant training, making age less of a barrier than skill and experience.

How can data science be used in health care?

Data science in healthcare involves analyzing large datasets to improve patient outcomes, optimize treatment plans, and enhance operational efficiency. Healthcare data scientists use tools like machine learning and statistical models to identify patterns, predict disease trends, and support clinical decision-making.
What are popular job titles related to Data Science In Healthcare jobs in Arizona? For Data Science In Healthcare jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Data Science In Healthcare jobs in Arizona look for? The top searched job categories for Data Science In Healthcare jobs in Arizona are:
Data Science In Healthcare jobs near you

Data Scientist

SD Department of Veterans Affairs

Phoenix, AZ • On-site

$106K/yr

Other

This job post has expired today. Applications are no longer accepted.

Key responsibilities

  • Support data architecture modernization and sustainment for the Medical Disability Examination Office.

  • Analyze data and trends associated with medical disability examinations and Veterans' claims.

  • Plan and execute data science and analytics projects using various data types, formats, and analytic approaches.

Job description

This position supports the Veterans Benefits Administration (VBA), Medical Disability Examination Office (MDEO) in Washington, D.C. The primary purpose for this position is to serve as a Data Scientist, supporting the data architecture modernization and sustainment, and analyzing data and trends associated with medical disability examinations associated with Veterans and their claims.

Qualifications:To qualify for this position, applicants must meet all requirements by the closing date of this job opportunity announcement, 06/22/2026.
INDIVIDUAL OCCUPATIONAL REQUIREMENT (IOR) / BASIC REQUIREMENT:

  1. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.

    or

  2. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.

To qualify at the GS-13 grade level: In addition to basic requirements, applicants must have completed at least 1 full year (52 weeks) equivalent to the next lower grade level of GS-12, in a federal, state and/or private setting. Specialized experience for this position must include: (1) Experience using SQL querying language (such as Oracle SQL or PLSQL) to acquire data from relational databases for data science projects. (2) Experience using data mining techniques to design and execute data science projects. (3) Experience using data visualization tools (such as Microsoft Power BI or Tableau) for data visualization (graphs, tables, charts, etc.,) and end-user business intelligence.
Examples of specialized experience for this position may include:
  1. Experience preparing and analyzing structured and unstructured datasets for exploration and evaluating data science centric models.
  2. Experience working with multiple data types and formats as a part of a data science project.
  3. Experience applying a range of analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory, link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the exploration
  4. Experience coding in various programming languages (such as R, Python, SQL, or JAVA) to conduct various phases of data science projects.
  5. Experience creating and querying different datastores and architectures (such as Sybase, Oracle, and open-source databases) to work with various types of data as part of the data science project.
  6. Experience planning and executing a variety of data science and/or analytics projects.
There is no educational substitution authorized for the grade level of GS-13.
Volunteer Experience: Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religions; spiritual; community; student; social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
Full-Time vs. Part-Time Employment: Full-time employment is considered to be at least 35 hours per week. Part-time experience will be credited on a pro-rated basis; when including part-time employment in your resume you must specify the average hours worked per week.
For more information on these qualification standards, please visit the United States Office of Personnel Management's website at http://://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/.
Education:An unofficial or official copy of your transcripts must be submitted with your application if you are basing all or part of your qualifications on education.
Note: Only education or degrees recognized by the U.S. Department of Education from accredited colleges, universities, schools, or institutions may be used to qualify for Federal employment. You can verify your education: http://ope.ed.gov/accreditation/
If you are using foreign education to meet qualification requirements, you must send a Certificate of Foreign Equivalency with your transcript in order to receive credit for that education. For further information, visit: Recognition of Foreign Qualifications | U.S. Department of EducationEmployment Type: OTHER

Apply