Manager, Data Scientist - Eso

Quest Diagnostics Careers • Secaucus, NJ

80d • $100,000 - $130,000

About The Position

Healthcare Analytics Solutions (HAS) is an innovative team within Quest Diagnostics that leverages Quest data to develop products and services to improve outcomes in healthcare across the full spectrum of healthcare markets, including pharma, payers, integrated delivery networks and public health. Join HAS to build, validate and deploy clinical ML products using billions of results from Quest laboratory data. You will partner with clinicians, engineers, and product teams to deliver robust, compliant, and well‑documented models that impact patient care and downstream products. Fully remote, minimal travel required; strong emphasis on hands‑on machine learning model development and deployment experience and pragmatic problem solving.

Requirements

• Experience in machine learning model development and deployment.
• Strong problem-solving skills in a healthcare context.
• Ability to work collaboratively with cross-functional teams.

Nice To Haves

• Experience with healthcare data and analytics.
• Familiarity with regulatory compliance in healthcare.

Responsibilities

• Build, validate, and deploy clinical machine learning products using Quest laboratory data.
• Collaborate with clinicians, engineers, and product teams to develop models that impact patient care.
• Ensure models are robust, compliant, and well-documented.
• Engage in hands-on machine learning model development and deployment.

Benefits

• Medical/Prescription Drugs
• Dental
• Vision
• Flexible Spending Accounts (FSAs)
• Supplemental Health Plans
• 401(k) Plan – Company match dollar-for-dollar up to 5%
• Employee Stock Purchase Plan (ESPP)
• Supplemental Life Insurance
• Dependent Life Insurance
• Short- and Long-Term Disability buy-up
• Blueprint for Wellness
• Emotional Well-Being Resources
• Educational Assistance
• Paid time off / Health Time
• Variable Compensation Plans
• Sales Incentive Plans

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees