Job Description
Overview
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.
Pay Range: $100,000 - $130,000 / year
Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained. Market and organizational factors are also considered. Successful candidates may be eligible to receive annual performance bonus compensation.
Benefits Information:
We are proud to offer best-in-class benefits and programs to support employees and their families in living healthy, happy lives. Our pay and benefit plans have been designed to promote employee health in all respects - physical, financial, and developmental. Depending on whether it is a part-time or full-time position, some of the benefits offered may include:
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
Responsibilities
End-to-end ML delivery: data curation, feature design, modelling, validation, CI/CD deployment, and monitoring.
Productionization: containerization, model serving, performance tuning, rollout strategies, and observability (drift, performance, alerts).
Model governance: reproducibility, versioning, bias/fairness checks, and audit-ready documentation.
Integration of advanced analytics and machine learning models into business products and services including business intelligence dashboards and real-time analytics.
Curation of data sets from Quest and non-Quest data sources in support of deriving business insights driven by advanced analytics.
Cross-functional partnership with clinicians and product owners to define outcomes, acceptance criteria, and validation plans.
Mentor and raise engineering standards across the team: coding best practices, testing, and deployment patterns.
Translate technical results into clear explanations and recommendations for technical and executive stakeholders.
Qualifications
2+ years demonstrated track record delivering ML models to production (architecture, deployment, and monitoring), preferably in the healthcare industry.
5+ years relevant experience with Python and SQL; production-grade code and testing practices.
Practical experience with model serving and monitoring, CI/CD for ML, and feature pipeline orchestration.
Experience working with healthcare data (labs, EHR, claims) and familiarity with PHI handling/HIPAA considerations.
Strong statistics, model evaluation, and pragmatic approach to validation, including the ability to articulate the bias-variance tradeoff in models to stakeholders.
Comfort with integrated generative AI tools in the model building and general coding workflow, with knowledge and strategies of both when to use and not use these tools.
Excellent communication and problem-solving skills; comfortable leading technical discussions with clinicians and engineers and presenting to senior executives
A bachelor's degree from an accredited college or university in a related area of Data Science, Statistics, Computer Science, Mathematics, Economics, or Information Technology. Master's or PhD preferred.
Preferred
Prior experience in regulated environments or deploying clinical decision support tools.
Demonstrated ability to leverage data visualization tools and software to present advanced analytics that are easy to interpret and spot patterns, trends, and correlations
Experience developing, deploying, and monitoring production models in the C3.ai platform
Excellent scientific writing skills; we may publish studies based on novel models or methods
Experience supporting the creation of SOWs and Contracts.
Aptitude in other programing languages like R, SAS, JavaScript
Why join this team?
High-impact work across products and markets; you have the opportunity to meaningfully improve patient outcomes and healthcare delivery in the United States in this role
Fully remote, collaborative team.
Opportunity to define production ML standards.
Clear ownership of end-to-end model lifecycle and opportunity to mentor others.
About the Team
Quest Diagnostics honors our service members and encourages veterans to apply.
While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume.
Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: QUEPA001
- Position Id: 1723b29abc71a9ff53bcd2066718043e
- Posted 30+ days ago
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