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Data Science In Healthcare Jobs in Arizona (NOW HIRING)

Data Scientist II

Tempe, AZ ยท Hybrid

$131K - $172K/yr

Help ensure data science processes and outputs align with broader team strategies and roadmaps ... Knowledge of or previous work experience in health care or health insurance * Experience mentoring ...

Data Scientist II

Tempe, AZ ยท On-site

$131K - $172K/yr

Help ensure data science processes and outputs align with broader team strategies and roadmaps ... Knowledge of or previous work experience in health care or health insurance * Experience mentoring ...

Data Scientist II

Tempe, AZ ยท Hybrid

$131K - $172K/yr

Help ensure data science processes and outputs align with broader team strategies and roadmaps ... Knowledge of or previous work experience in health care or health insurance * Experience mentoring ...

Master's or PhD in Computer Science * Healthcare and imaging data About Us Why Mayo Clinic Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World ...

Data Science Tutor

Chandler, AZ ยท Remote

$18 - $40/hr

... care of payments. What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep ... and healthcare informatics. * Curriculum Awareness & Adaptive Instruction: Familiar with data ...

Data Science Tutor

Scottsdale, AZ ยท Remote

$18 - $40/hr

... care of payments. What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep ... and healthcare informatics. * Curriculum Awareness & Adaptive Instruction: Familiar with data ...

Data Science Tutor

Gilbert, AZ ยท Remote

$18 - $40/hr

... care of payments. What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep ... and healthcare informatics. * Curriculum Awareness & Adaptive Instruction: Familiar with data ...

Data Science Tutor

Phoenix, AZ ยท Remote

$18 - $40/hr

... care of payments. What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep ... and healthcare informatics. * Curriculum Awareness & Adaptive Instruction: Familiar with data ...

Data Science Tutor

Tempe, AZ ยท Remote

$18 - $40/hr

... care of payments. What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep ... and healthcare informatics. * Curriculum Awareness & Adaptive Instruction: Familiar with data ...

Data Science Tutor

Glendale, AZ ยท Remote

$18 - $40/hr

... care of payments. What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep ... and healthcare informatics. * Curriculum Awareness & Adaptive Instruction: Familiar with data ...

Data Science Tutor

Mesa, AZ ยท Remote

$18 - $40/hr

... care of payments. What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep ... and healthcare informatics. * Curriculum Awareness & Adaptive Instruction: Familiar with data ...

Data Science Tutor

Tucson, AZ ยท Remote

$18 - $40/hr

... care of payments. What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep ... and healthcare informatics. * Curriculum Awareness & Adaptive Instruction: Familiar with data ...

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 ...

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Showing results 1-20

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 Scientist, Data & Science Solutions

Caris Life Sciences

Tempe, AZ โ€ข On-site

Full-time

Posted 12 days ago


Job description

At Caris, we understand that cancer is an ugly word-a word no one wants to hear, but one that connects us all. That's why we're not just transforming cancer care-we're changing lives.
We introduced precision medicine to the world and built an industry around the idea that every patient deserves answers as unique as their DNA. Backed by cutting-edge molecular science and AI, we ask ourselves every day: "What would I do if this patient were my mom?" That question drives everything we do.
But our mission doesn't stop with cancer. We're pushing the frontiers of medicine and leading a revolution in healthcare-driven by innovation, compassion, and purpose.
Join us in our mission to improve the human condition across multiple diseases. If you're passionate about meaningful work and want to be part of something bigger than yourself, Caris is where your impact begins.
Position Summary
Caris Life Sciences is seeking a data scientist to expand, test, and validate a suite of molecular biomarkers aimed to improve the standard of care for patients undergoing treatment for cancer. This is a research role within the Caris signature development program and responsibilities will center on statistical or machine-learning derived predictions of phenotypic treatment response built from the genotypic data types available on Caris molecular sequencing platforms. A successful candidate will have the analytical, code-oriented mindset to create reproducible data science pipelines, and the communication skills to discuss the implications of the scientific results with our medical professionals.
Job Responsibilities
  • Contribute to analytics and research that support internal stakeholders and external partners.
  • Assist in the development and evaluation of molecular signatures and analytical approaches that leverage Caris' data to support partner research and drug discovery strategies.
  • Support preparation of analytical results and figures for internal reviews and client-facing discussions.
  • Develop and maintain tools, workflows, and automated solutions to scale data analytics and data science operations.
  • Support the Biopharma Solutions team with feasibility assessments and tooling to optimize workflows.
  • Write well-structured, well-documented, and reproducible code, including efficient queries and organized codebases.

Required Qualifications
  • PhD in Computational Biology, Bioinformatics, Mathematics, Data Science, Engineering, or related scientific field.
  • Strong programming skills in Python or R, with experience developing reproducible analysis workflows.
  • Experience with Linux ecosystem, Git, and queries from SQL or related database families.
  • Experience with molecular genetics data and/or multimodal real-world data (RWD).
  • Ability to translate biological and scientific questions into analytical or statistical approaches and deliver data-driven insights.
  • Strong verbal and written communication skills, with the ability to explain complex technical concepts in clear language.

Preferred Qualifications
  • Experience with interpretation of clinical health records including Electronic Health Records, insurance claims data, or patient histories.
  • Experience collaborating directly with external partners or clients, particularly in biopharma or healthcare.
  • Good code documentation practices and experience with workflow management packages.
  • Experience working in cloud or HPC clusters.

Physical Demands
  • Will work at a computer most of the time, with some time spent collaborating with subject matter experts and business group leaders either in person or through remote conferencing.
  • Visual acuity and analytical skill to distinguish fine detail.
  • Must possess ability to sit and/or stand for long periods of time.

Training
  • All job specific, safety, and compliance training are assigned based on the job functions associated with this employee.

Other
  • This position may require periodic travel and some evenings, weekends, and/or holidays.

Conditions of Employment: Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check ( applicable for certain positions) and reference verification.
This job description reflects management's assignment of essential functions. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.
Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.