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 many different markets (Pharma, Clinical Trials, Health Plans/Payers, Hospitals/Health Systems, and Public Health agencies).
Join HAS to build, productionize, and operationalize 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. In this role, you will be responsible for understanding and implementing the latest advances in the field of machine learning applied to healthcare use cases. Fully remote, minimal travel required; strong emphasis on hands‑on production experience and pragmatic problem solving.
Responsibilities
• Machine learning model garden used to create predictive analytics-based data products in healthcare.
• Monitoring and surveillance of state of art research in machine learning in relation to healthcare and clinical AI. Incorporating innovation as appropriate into our ML garden and solutions.
• Thought leaders support for ML Ops, including 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 evidence gaining deep knowledge about advanced machine learning concepts, new model architectures as well as research-level evaluation of promising model designs and architectures.
• 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.
• Excellent statistics, model evaluation, and pragmatic approach to validation.
• Excellent communication and problem‑solving skills; comfortable leading technical discussions with clinicians and engineers and presenting to senior executives
• Excellent scientific writing skills; we may publish studies based on novel models or methods
• A Master’s degree from an accredited college or university in a related area of Data Science, Statistics, Computer Science, Mathematics, Economics, or Information Technology. PhD preferred.
Preferred
• Familiarity with major commercial data platforms, including Google cloud AI solutions.
• 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
• 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.
Skills Required
- 2+ years experience in advanced machine learning concepts
- 5+ years experience with Python and SQL
- Experience with model serving and monitoring
- Experience working with healthcare data and PHI handling
- Master's degree in Data Science or related area
What We Do
Quest Diagnostics (NYSE: DGX) empowers people to take action to improve health outcomes. Derived from the world's largest database of clinical lab results, our diagnostic insights reveal new avenues to identify and treat disease, inspire healthy behaviors and improve health care management. Quest annually serves one in three adult Americans and half the physicians and hospitals in the United States, and our 47,000 employees understand that, in the right hands and with the right context, our diagnostic insights can inspire actions that transform lives. The company offers physicians the broadest test menu (3,000+ tests), is a pioneer in developing innovative new tests, is the leader in cancer diagnostics, provides anatomic pathology (AP) services, & interpretive consultation through its medical & scientific staff of about 900 M.D.s & Ph.D.s. The company reported 2020 revenues of $9.44 billion. Quest Diagnostics offers the most extensive clinical testing network in the U.S., with laboratories in most major metropolitan areas, & in Mexico, the UK & India. The company also operates four esoteric laboratories, 40 outpatient AP laboratories, & 160 smaller, rapid-response laboratories. Patients may have specimens collected in any of the company’s approximately 2,250 patient service centers. On a typical workday, testing is performed for about 550,000 patients. Quest Diagnostics empowers healthcare organizations & clinicians with state-of-the-art connectivity solutions. The company is the leading provider of pre-employment drugs-of-abuse screening for employers & risk assessment services for the life insurance industry. It is the world’s 2nd largest provider of clinical trials testing for new pharmaceuticals. More information is available at www.questdiagnostics.com. Language Assistance / Non-Discrimination Notice Asistencia de Idiomas / Aviso de no Discriminación 語言協助 / 不歧視通知 www.QuestDiagnostics.com/home/nondiscrimination
