ZipRecruiter

Log In

1

Vp Data Modeling Jobs (NOW HIRING)

Chubb

SVP, PRS - Data Science

Whitehouse Station, NJ · On-site

The successful candidate is a seasoned leader with expertise data science and model development and ... A. and to the EVP, PRS Finance Product and Analytics Officer. As the SVP Data Scientist for ...

LendingClub

VP, Data Platforms

San Francisco, CA · On-site

$250/hr

About the Role The VP, Data Platforms is responsible for the data platform, infrastructure ... Own the customer data foundation, including canonical data models and the Customer Data Platform ...

LendingClub Bank

VP, Data Platforms

San Francisco, CA · On-site

About the Role The VP, Data Platforms is responsible for the data platform, infrastructure ... Own the customer data foundation, including canonical data models and the Customer Data Platform ...

Socket.dev

Vice President, Data Enablement

Chicago, IL · On-site

$150 - $200/hr

Overview The VP, Data Engineering is a senior technology and data leader responsible for defining ... Establish standards for data modeling, metadata management, data quality, lineage, security, and ...

CRH

Vice President, Data & Analytics

Atlanta, GA · On-site

Vice President, Data & Analytics Architectural Products Group Atlanta, Georgia, United States Job ... Lead the evolution toward a self-service analytics model, empowering business users while ...

Soteria Reinsurance Ltd.

$250/hr

VP, Data Solutions, Retail Analytics Data Platform Note: Fidelity will not provide immigration ... This leader will shape the product strategy, customer engagement model, and roadmap priorities that ...

New

BNY

Vice President, Data Management Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Vice President, Data Management Engineer At BNY, our culture allows us to run our company better ... Strong Data Management, Data Modeling and Metadata Analysis skills. * Analyzes application ...

Omnicom

VP, Data Strategy & Insight

Williamsburg, VA

Data Strategy and Governance The Vice President (VP) of Data Strategy and Insights will serve as a leader within Snow Companies' Strategy and Insights offering, providing strategic direction across ...

Omnicom

VP, Data Strategy & Insight

Williamsburg, VA · On-site

Data Strategy and Governance The Vice President (VP) of Data Strategy and Insights will serve as a leader within Snow Companies' Strategy and Insights offering, providing strategic direction across ...

previous pagenext page

Showing results 21-40

All JobsTechnology JobsData JobsData Scientist JobsVp Data Modeling Jobs

Vp Data Modeling information

See salary details

$10

$58

$83

How much do vp data modeling jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for vp data modeling in the United States is $58.71, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $68.27 per hour, depending on experience, location, and employer.

What are the most commonly searched types of Data Modeling jobs?

The most popular types of Data Modeling jobs are:

What are popular job titles related to Vp Data Modeling jobs?

For Vp Data Modeling jobs, the most frequently searched job titles are:

Infographic showing various Vp Data Modeling 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 $122,123 per year, or $58.7 per hour.

Vice President - Data Science

Tempe, AZ • On-site

Caris Life Sciences
See more jobs at Caris Life Sciencesexternal

Full-time

Re-posted 22 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.

Apply