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HomeCompaniesHdox Fa Us6 Oraclecloud Com CX 1Data Scientist Manager - Eso

Data Scientist Manager - Eso

Hdox Fa Us6 Oraclecloud Com CX 1 · Secaucus, NJ, United States; NJ_H2Q_500 Plaza Drive, Secaucus, NJ, US · Remote · Active · Oracle Recruiting Cloud / Fusion HCM

Job facts

FieldValue
CompanyHdox Fa Us6 Oraclecloud Com CX 1
TitleData Scientist Manager - Eso
Normalized title-
Department / teamLaboratory Operations
LocationSecaucus, NJ, United States
Work modelRemote / Remote
Employment typeFull Time
Salary-
Statusactive
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2026-06-03 / 2026-06-04
Changed / last seen2026-06-22 / 2026-06-23

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PageWhat it containsOpen
Company jobsActive postings from Hdox Fa Us6 Oraclecloud Com CX 1.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Oracle Recruiting Cloud / Fusion HCM.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Secaucus.Open
Department jobsActive postings in Laboratory Operations.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyHdox Fa Us6 Oraclecloud Com CX 1
Sourceae43b0b4-b775-4107-be5f-ba2264cec0f9
ATS providerOracle Recruiting Cloud / Fusion HCM

Description

Description 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 l everage 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. Organization 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.

Full job record

Job ID9ffca5a1021ba5bc560ebedee63ca87e43a7429b
Org ID713bb144-d54b-4881-b9cd-812786c6e9ad
Source IDae43b0b4-b775-4107-be5f-ba2264cec0f9
Board IDae43b0b4-b775-4107-be5f-ba2264cec0f9
Provideroracle_hcm
Provider Job Key61384
TitleData Scientist Manager - Eso
Normalized Title
Statusactive
Activeyes
Location TextSecaucus, NJ, United States; NJ_H2Q_500 Plaza Drive, Secaucus, NJ, US
DepartmentLaboratory Operations
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Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionNJ
CitySecaucus
Salary RawDescription 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 l everage 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. Organization 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.
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Source URLhttps://hdox.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/61384
Apply URLhttps://hdox.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/61384
First Seen At2026-06-04 11:08:27Z
Last Seen At2026-06-23 11:54:38Z
Last Checked At2026-06-23 11:54:38Z
Last Changed At2026-06-22 16:09:57Z
Inactive At
Source Posted At2026-06-03 16:22:28Z
Source Updated At
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