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Data Science In Healthcare Jobs in Arizona (NOW HIRING)

... science landscape. **Applicants are required to be eligible to lawfully work in the U.S ... State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options ...

Are you a data enthusiast with a passion for leading innovative projects and driving transformation in finance? Join our Finance AI task force as a Data Science Lead and spearhead our data analytics ...

Identify new opportunities to apply data science, especially in customer behavior prediction, segmentation, and credit risk scoring. * Partner with business teams to embed analytics solutions into ...

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... In this role, you will review, evaluate, and refine AI-generated technical and analytical content ...

The incumbent builds on foundational AI, data science skills and applies deep modeling, diagnostic ... in: Comprehensive medical benefits coverage, dental plans and vision coverage. Health care and ...

The incumbent builds on foundational AI, data science skills and applies deep modeling, diagnostic ... in: • Comprehensive medical benefits coverage, dental plans and vision coverage. • Health care ...

The incumbent builds on foundational AI, data science skills and applies deep modeling, diagnostic ... in: Comprehensive medical benefits coverage, dental plans and vision coverage. Health care and ...

Skilled at programming in Python in data science, AI, and statistical analysis settings ... in: Comprehensive medical benefits coverage, dental plans and vision coverage. Health care and ...

Showing results 21-40

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 Sep 10, 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?

Yes, data scientists can work in healthcare by analyzing medical data, developing predictive models, and improving patient outcomes. They often use tools like Python, R, and SQL, and may require knowledge of healthcare regulations such as HIPAA.

What is data science in healthcare?

Data science in healthcare involves analyzing large sets of medical and patient data to improve patient outcomes, optimize operations, and support clinical decision-making. Data scientists in this field use tools like machine learning, statistical analysis, and data visualization to extract insights from electronic health records, medical imaging, and other health-related data sources.

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:

Infographic showing various Data Science In Healthcare job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $153,778 per year, or $73.9 per hour.

Vice President - Data Science

Tempe, AZ • On-site

Full-time

Re-posted 24 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
The Vice President, Data Science provides senior leadership for Caris' AI-driven clinical insights and predictive modeling initiatives. This role leads the development of novel AI signatures leveraging Caris' large-scale clinico-genomic database to identify molecular characteristics of disease that are prognostic of patient outcomes or predictive of response to therapy.
The Vice President oversees a multidisciplinary team of data scientists, computational biologists, and translational researchers responsible for identifying clinically meaningful questions, developing and validating AI-based molecular signatures, and translating discoveries into scalable clinical reporting capabilities. Partnering with Executive Leadership, R&D, Clinical Development, Medical Affairs, Bioinformatics, Regulatory Affairs, and Commercial teams, this role ensures delivery of scientifically rigorous, clinically meaningful, and operationally scalable AI innovations that advance precision medicine.
Job Responsibilities
  • Define and execute the strategy for AI-driven clinical insight and molecular signature development across Caris' molecular profiling platforms.
  • Identify clinically relevant questions where advanced analytics can deliver prognostic or predictive insights.
  • Oversee development of AI signatures integrating genomic, transcriptomic, proteomic, and clinical outcomes data.
  • Establish governance and standards for model development, validation, documentation, and lifecycle management.
  • Collaborate with Regulatory and Clinical Development teams to ensure appropriate validation and evidence generation.
  • Lead implementation of AI products within a regulated CAP/CLIA clinical environment.
  • Oversee engineering and production deployment of AI pipelines within Caris' clinical reporting infrastructure.
  • Ensure scalable, reproducible, auditable computational pipelines and canonical data models.
  • Lead development of clinically interpretable reporting frameworks for physicians.
  • Partner with Product and Commercial teams to integrate AI insights into clinical reports and decision-support tools.
  • Build, mentor, and lead high-performing teams of data scientists and computational biologists.
  • Set organizational goals, budgets, roadmaps, OKRs, and performance metrics aligned with corporate priorities.
  • Champion a culture of scientific rigor, accountability, transparency, and continuous improvement.

Required Qualifications
  • PhD in Data Science, Biostatistics, Computer Science, Biomedical Engineering, or a related field.
  • 10+ years of experience building and implementing supervised and unsupervised machine learning models for complex problem solving.
  • Expert proficiency in Python (pandas, NumPy, statistical and ML libraries) and SQL.
  • Strong expertise in machine learning, statistical modeling, and large-scale biomedical data analysis.
  • Experience working with multi-omic datasets including genomics, transcriptomics, and proteomics.
  • Experience leveraging large clinical datasets for biomarker discovery, predictive modeling, or outcomes research.
  • Working knowledge of regulatory considerations for algorithm development in clinical diagnostics environments.
  • Demonstrated people leadership and direct management experience with accountability for large-scale outcomes.
  • Outstanding verbal and written communication skills.
  • Proficient in Microsoft Office Suite including Word, Excel, Outlook, and PowerPoint.
  • This is an onsite role based at our Phoenix, AZ office and requires regular in-person presence.

Preferred Qualifications
  • Experience working in regulated clinical laboratory environments (CAP/CLIA).
  • Familiarity with cloud computing platforms and large-scale data infrastructures.
  • Experience translating advanced analytics into physician-facing clinical products.

Physical Demands
  • Ability to sit, stand, and work at a computer for extended periods of time.

Training
  • All job-specific, safety, and compliance training assigned based on job responsibilities.

Other
  • May require occasional after-hours work to meet deadlines.
  • May require occasional travel.

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.