Home › Companies › Hdox Fa Us6 Oraclecloud Com CX 1 › NGS Data Scientist (Hybrid)
NGS Data Scientist (Hybrid)
Hdox Fa Us6 Oraclecloud Com CX 1 · Lewisville, TX, United States; TX_Z3E_2501 South State Highway 121, Lewisville, TX, US · Hybrid · Active · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Hdox Fa Us6 Oraclecloud Com CX 1 |
| Title | NGS Data Scientist (Hybrid) |
| Normalized title | - |
| Department / team | Data Science |
| Location | Lewisville, TX, United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-06-16 / 2026-06-17 |
| Changed / last seen | 2026-06-20 / 2026-06-21 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Hdox Fa Us6 Oraclecloud Com CX 1. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Oracle Recruiting Cloud / Fusion HCM. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Lewisville. | Open |
| Department jobs | Active postings in Data Science. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Hdox Fa Us6 Oraclecloud Com CX 1 |
| Source | ae43b0b4-b775-4107-be5f-ba2264cec0f9 |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
Description
Description
We are seeking a highly motivated next generation sequencing (NGS) data analytic scientist to support Oncology Assay Development at Quest. As a member of the Oncology R&D team, this role will collaborate with other scientists and staff from cross-functional teams to develop, validate, and support cutting-edge genomic assays for oncology applications.
The ideal candidate will have a strong background in bioinformatics and/or genomic data analysis for somatic applications, translating complex data into actionable insights that drive product development, operational excellence and clinical impact.
This professional will work in a hybrid capacity requiring 3 days onsite at our Lewisville, TX facility.
Responsibilities
Perform bioinformatic analysis of genomics data from next generation sequencing. Specific data types include whole exome sequencing (WES), whole exome sequencing (WGS), and targeted DNA and RNA panel datasets generated from Illumina, Ion Torrent and PacBio sequencing technologies. Curate, analyze, and interpret complex genomics datasets to support assay development, validation, and high throughput implementation Present findings to drive decision-making in R&D product development, troubleshooting, and pipeline improvement Design, develop, and deploy scalable and robust bioinformatics pipelines to support analytical validation data analysis for new oncology products Partner with R&D, automation, laboratory operations, and software teams to understand and address the technical challenges and implement efficient solutions Support production day-to-day operations, quickly pivoting focus to respond to incidents and requests Monitor, execute, and improve sequence analysis workflows and automation Produce charts and visualization for dashboards, reporting, and in support of data driven hypothesis testing Track, troubleshoot and mitigate issues encountered in processing production samples to meet strict Turnaround Times (TAT) Contribute to continuous improvement of analytical methods, workflows, and data quality standards
Qualifications
The ideal candidate will have a history of using bioinformatic technical skills to deliver accurate and timely results.
Required Work Experience:
Requires at least 4 (four) years of relevant industrial experience in data science and/or bioinformatics role Master's degree, or a Ph.D. in bioinformatics, computational biology, molecular biology, chemistry, physics, statistics, or a related field
Experience with oncology genomics and somatic variant analysis
Preferred Work Experience:
Experience in NGS workflow development Strong analytical skills with the ability to interpret and communicate experimental results Ability to work collaboratively in a fast-paced, Cross-functional environment. Experience with Software Development Life Cycle documentation procedure Familiarity with assay validation, regulatory environment (CAP/CLIA), or clinical diagnostics
Skills:
Experience using scripting languages (Python, R, or similar) for scientific data analysis and visualization Strong proficiency in NGS data processing, QC, and interpretation Experience with analysis of next-generation sequencing data, preferably including Whole-Genome Sequencing, Variant calling, and Annotation Excellent communication skills and the desire to work in a dynamic and collaborative environment
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 ID | e218d66cd4b96aaea3f8c66c0a42ec06ea5ab8a6 |
| Org ID | 713bb144-d54b-4881-b9cd-812786c6e9ad |
| Source ID | ae43b0b4-b775-4107-be5f-ba2264cec0f9 |
| Board ID | ae43b0b4-b775-4107-be5f-ba2264cec0f9 |
| Provider | oracle_hcm |
| Provider Job Key | 61843 |
| Title | NGS Data Scientist (Hybrid) |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Lewisville, TX, United States; TX_Z3E_2501 South State Highway 121, Lewisville, TX, US |
| Department | Data Science |
| Team | — |
| Employment Type | full_time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | TX |
| City | Lewisville |
| Salary Raw | Description We are seeking a highly motivated next generation sequencing (NGS) data analytic scientist to support Oncology Assay Development at Quest. As a member of the Oncology R&D team, this role will collaborate with other scientists and staff from cross-functional teams to develop, validate, and support cutting-edge genomic assays for oncology applications. The ideal candidate will have a strong background in bioinformatics and/or genomic data analysis for somatic applications, translating complex data into actionable insights that drive product development, operational excellence and clinical impact. This professional will work in a hybrid capacity requiring 3 days onsite at our Lewisville, TX facility. Responsibilities Perform bioinformatic analysis of genomics data from next generation sequencing. Specific data types include whole exome sequencing (WES), whole exome sequencing (WGS), and targeted DNA and RNA panel datasets generated from Illumina, Ion Torrent and PacBio sequencing technologies. Curate, analyze, and interpret complex genomics datasets to support assay development, validation, and high throughput implementation Present findings to drive decision-making in R&D product development, troubleshooting, and pipeline improvement Design, develop, and deploy scalable and robust bioinformatics pipelines to support analytical validation data analysis for new oncology products Partner with R&D, automation, laboratory operations, and software teams to understand and address the technical challenges and implement efficient solutions Support production day-to-day operations, quickly pivoting focus to respond to incidents and requests Monitor, execute, and improve sequence analysis workflows and automation Produce charts and visualization for dashboards, reporting, and in support of data driven hypothesis testing Track, troubleshoot and mitigate issues encountered in processing production samples to meet strict Turnaround Times (TAT) Contribute to continuous improvement of analytical methods, workflows, and data quality standards Qualifications The ideal candidate will have a history of using bioinformatic technical skills to deliver accurate and timely results. Required Work Experience: Requires at least 4 (four) years of relevant industrial experience in data science and/or bioinformatics role Master's degree, or a Ph.D. in bioinformatics, computational biology, molecular biology, chemistry, physics, statistics, or a related field Experience with oncology genomics and somatic variant analysis Preferred Work Experience: Experience in NGS workflow development Strong analytical skills with the ability to interpret and communicate experimental results Ability to work collaboratively in a fast-paced, Cross-functional environment. Experience with Software Development Life Cycle documentation procedure Familiarity with assay validation, regulatory environment (CAP/CLIA), or clinical diagnostics Skills: Experience using scripting languages (Python, R, or similar) for scientific data analysis and visualization Strong proficiency in NGS data processing, QC, and interpretation Experience with analysis of next-generation sequencing data, preferably including Whole-Genome Sequencing, Variant calling, and Annotation Excellent communication skills and the desire to work in a dynamic and collaborative environment 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. |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | day |
| Source URL | https://hdox.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/61843 |
| Apply URL | https://hdox.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/61843 |
| First Seen At | 2026-06-17 11:59:51Z |
| Last Seen At | 2026-06-21 12:16:48Z |
| Last Checked At | 2026-06-21 12:16:48Z |
| Last Changed At | 2026-06-20 12:26:59Z |
| Inactive At | — |
| Source Posted At | 2026-06-16 21:23:41Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=hdox.fa.us6.oraclecloud.com|CX_1/date=2026-06-21/2026-06-21T12-15-39-369Z-963ce19a09445d3a1b9706a06d511fff4c97a384da89a00882841d8033a9916d.json |
Event Fields
{
"content_hash": "742580c34610dfef89258e98cbc7a17cde8df71defc0d893b0bf22a7b056ebce",
"source_hash": "b26d4977fdd94a73928a68b38b6e8069235f02eb9a6096076ead8f3cdf8ca1da",
"last_changed_at": "2026-06-20T12:26:59.674Z",
"active_status": "active"
}Parsed Structured
{
"dedupe": null,
"language": "en",
"location": {
"raw": "Lewisville, TX, United States",
"city": "Lewisville",
"region": "TX",
"country": "United States",
"is_remote": false,
"confidence": 0.8
},
"salary_max": null,
"salary_min": null,
"inferred_at": "2026-06-21T12:16:47.157Z",
"launch_scope": {
"reason": "english_us_canada",
"included": true,
"language": "en",
"location": {
"raw": "Lewisville, TX, United States",
"city": "Lewisville",
"region": "TX",
"country": "United States",
"is_remote": false,
"confidence": 0.8
},
"countries": [
"United States"
]
},
"remote_policy": "hybrid",
"salary_period": "day",
"workplace_type": "hybrid",
"salary_currency": null
}Extensions
{}Native Structured
{
"detail": {
"Id": "61843",
"Title": "NGS Data Scientist (Hybrid)",
"media": [],
"skills": [],
"JobType": null,
"Category": "Data Science",
"JobGrade": null,
"JobLevel": null,
"JobShift": "Day",
"WorkDays": null,
"WorkHours": null,
"WorkYears": null,
"Department": null,
"HotJobFlag": false,
"StudyLevel": null,
"WorkMonths": null,
"WorkerType": null,
"GeographyId": 300000004771752,
"JobFamilyId": 300001212824434,
"JobFunction": "Information Technology",
"JobSchedule": "Full time",
"BusinessUnit": null,
"ContractType": null,
"Organization": null,
"TrendingFlag": false,
"workLocation": [
{
"Country": "US",
"Region1": "Denton",
"Region2": "TX",
"Region3": null,
"Building": null,
"Latitude": "33.01654",
"Longitude": "-97.00674",
"LocationId": 300000014830298,
"PostalCode": "75067",
"TownOrCity": "Lewisville",
"AddressLine1": "2501 South State Highway 121",
"AddressLine2": "Suite 1100",
"AddressLine3": null,
"AddressLine4": null,
"LocationName": "TX_Z3E_2501 South State Highway 121"
}
],
"ContentLocale": "en",
"HiringManager": null,
"LegalEmployer": null,
"RequisitionId": 300005051830168,
"WorkplaceType": "",
"BusinessUnitId": 300000004727261,
"OrganizationId": 1,
"GeographyNodeId": 300003802436004,
"JobFunctionCode": "Information Technology",
"LegalEmployerId": 300000009784171,
"PrimaryLocation": "Lewisville, TX, United States",
"RequisitionType": "TA/Professional",
"NumberOfOpenings": null,
"WorkplaceTypeCode": null,
"BeFirstToApplyFlag": false,
"otherWorkLocations": [],
"secondaryLocations": [],
"ExternalContactName": null,
"ShortDescriptionStr": "",
"ExternalContactEmail": null,
"ExternalPostedEndDate": null,
"OtherRequisitionTitle": null,
"requisitionFlexFields": [
{
"Value": "On-site 3 days/week",
"Prompt": "Workplace",
"ControlType": "SingleChoiceList",
"SequenceNumber": 1
},
{
"Value": "Regular",
"Prompt": "Regular or Temporary",
"ControlType": "SingleChoiceList",
"SequenceNumber": 6
},
{
"Value": "40.00",
"Prompt": "Weekly Working Hours",
"ControlType": "Decimal",
"SequenceNumber": 7
},
{
"Value": "10",
"Prompt": "AIP Target %",
"ControlType": "Decimal",
"SequenceNumber": 24
}
],
"ApplyWhenNotPostedFlag": false,
"DomesticTravelRequired": null,
"ExternalDescriptionStr": "<p>We are seeking a highly motivated next generation sequencing (NGS) data analytic scientist to support Oncology Assay Development at Quest. As a member of the Oncology R&D team, this role will collaborate with other scientists and staff from cross-functional teams to develop, validate, and support cutting-edge genomic assays for oncology applications. </p><p>The ideal candidate will have a strong background in bioinformatics and/or genomic data analysis for somatic applications, translating complex data into actionable insights that drive product development, operational excellence and clinical impact.</p><p>This professional will work in a hybrid capacity requiring 3 days onsite at our Lewisville, TX facility. </p>",
"ObjectVerNumberProfile": "1",
"PrimaryLocationCountry": "US",
"CorporateDescriptionStr": "",
"ExternalPostedStartDate": "2026-06-16T21:23:41+00:00",
"ExternalQualificationsStr": "<p>The ideal candidate will have a history of using bioinformatic technical skills to deliver accurate and timely results.</p><p><strong>Required Work Experience:</strong></p><ul style=\"list-style-type: disc;\"><li>Requires at least 4 (four) years of relevant industrial experience in data science and/or bioinformatics role </li><li><p>Master's degree, or a Ph.D. in bioinformatics, computational biology, molecular biology, chemistry, physics, statistics, or a related field</p></li><li><p>Experience with oncology genomics and somatic variant analysis</p><p><br> </p></li></ul><p><strong>Preferred Work Experience:</strong></p><ul style=\"list-style-type: disc;\"><li>Experience in NGS workflow development <span> </span></li><li>Strong analytical skills with the ability to interpret and communicate experimental results</li><li>Ability to work collaboratively in a fast-paced, Cross-functional environment.</li><li>Experience with Software Development Life Cycle documentation procedure</li><li><p>Familiarity with assay validation, regulatory environment (CAP/CLIA), or clinical diagnostics</p><p><br> </p></li></ul><p><strong>Skills:</strong></p><ul style=\"list-style-type: disc;\"><li>Experience using scripting languages (Python, R, or similar) for scientific data analysis and visualization</li><li>Strong proficiency in NGS data processing, QC, and interpretation</li><li>Experience with analysis of next-generation sequencing data, preferably including Whole-Genome Sequencing, Variant calling, and Annotation</li><li>Excellent communication skills and the desire to work in a dynamic and collaborative environment</li></ul>",
"InternalQualificationsStr": "<p>The ideal candidate will have a history of using bioinformatic technical skills to deliver accurate and timely results.</p><p><strong>Required Work Experience:</strong></p><ul style=\"list-style-type: disc;\"><li>Requires at least 4 (four) years of relevant industrial experience in data science and/or bioinformatics role </li><li><p>Master's degree, or a Ph.D. in bioinformatics, computational biology, molecular biology, chemistry, physics, statistics, or a related field</p></li><li><p>Experience with oncology genomics and somatic variant analysis</p><p><br> </p></li></ul><p><strong>Preferred Work Experience:</strong></p><ul style=\"list-style-type: disc;\"><li>Experience in NGS workflow development <span> </span></li><li>Strong analytical skills with the ability to interpret and communicate experimental results</li><li>Ability to work collaboratively in a fast-paced, Cross-functional environment.</li><li>Experience with Software Development Life Cycle documentation procedure</li><li><p>Familiarity with assay validation, regulatory environment (CAP/CLIA), or clinical diagnostics</p><p><br> </p></li></ul><p><strong>Skills:</strong></p><ul style=\"list-style-type: disc;\"><li>Experience using scripting languages (Python, R, or similar) for scientific data analysis and visualization</li><li>Strong proficiency in NGS data processing, QC, and interpretation</li><li>Experience with analysis of next-generation sequencing data, preferably including Whole-Genome Sequencing, Variant calling, and Annotation</li><li>Excellent communication skills and the desire to work in a dynamic and collaborative environment</li></ul>",
"OrganizationDescriptionStr": "<table>\n <tbody>\n <tr>\n <td>Quest Diagnostics honors our service members and encourages veterans to apply.<br/><br/> 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.<br/><br/> Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.</td>\n </tr>\n </tbody>\n</table>",
"primaryLocationCoordinates": [
{
"Latitude": "32.98648",
"Longitude": "-96.99311",
"CountryCode": "US",
"GeographyId": 300000004771752,
"GeographyNodeId": 300003802436004
}
],
"ExternalResponsibilitiesStr": "<ul style=\"list-style-type: disc;\"><li>Perform bioinformatic analysis of genomics data from next generation sequencing. Specific data types include whole exome sequencing (WES), whole exome sequencing (WGS), and targeted DNA and RNA panel datasets generated from Illumina, Ion Torrent and PacBio sequencing technologies.</li><li>Curate, analyze, and interpret complex genomics datasets to support assay development, validation, and high throughput implementation</li><li>Present findings to drive decision-making in R&D product development, troubleshooting, and pipeline improvement</li><li>Design, develop, and deploy scalable and robust bioinformatics pipelines to support analytical validation data analysis for new oncology products</li><li>Partner with R&D, automation, laboratory operations, and software teams to understand and address the technical challenges and implement efficient solutions</li><li>Support production day-to-day operations, quickly pivoting focus to respond to incidents and requests</li><li>Monitor, execute, and improve sequence analysis workflows and automation</li><li>Produce charts and visualization for dashboards, reporting, and in support of data driven hypothesis testing</li><li>Track, troubleshoot and mitigate issues encountered in processing production samples to meet strict Turnaround Times (TAT) </li><li>Contribute to continuous improvement of analytical methods, workflows, and data quality standards</li></ul>",
"InternalResponsibilitiesStr": "<ul style=\"list-style-type: disc;\"><li>Perform bioinformatic analysis of genomics data from next generation sequencing. Specific data types include whole exome sequencing (WES), whole exome sequencing (WGS), and targeted DNA and RNA panel datasets generated from Illumina, Ion Torrent and PacBio sequencing technologies.</li><li>Curate, analyze, and interpret complex genomics datasets to support assay development, validation, and high throughput implementation</li><li>Present findings to drive decision-making in R&D product development, troubleshooting, and pipeline improvement</li><li>Design, develop, and deploy scalable and robust bioinformatics pipelines to support analytical validation data analysis for new oncology products</li><li>Partner with R&D, automation, laboratory operations, and software teams to understand and address the technical challenges and implement efficient solutions</li><li>Support production day-to-day operations, quickly pivoting focus to respond to incidents and requests</li><li>Monitor, execute, and improve sequence analysis workflows and automation</li><li>Produce charts and visualization for dashboards, reporting, and in support of data driven hypothesis testing</li><li>Track, troubleshoot and mitigate issues encountered in processing production samples to meet strict Turnaround Times (TAT) </li><li>Contribute to continuous improvement of analytical methods, workflows, and data quality standards</li></ul>",
"InternationalTravelRequired": null
},
"list_job": {
"Id": "61843",
"Title": "NGS Data Scientist (Hybrid)",
"JobType": null,
"Distance": 1781568000000,
"JobShift": null,
"Language": "US",
"WorkDays": null,
"JobFamily": null,
"Relevancy": 7,
"WorkHours": null,
"Department": null,
"HotJobFlag": false,
"PostedDate": "2026-06-16",
"StudyLevel": null,
"WorkerType": null,
"GeographyId": 300000004771752,
"JobFunction": null,
"JobSchedule": null,
"BusinessUnit": null,
"ContractType": null,
"ManagerLevel": null,
"Organization": null,
"TrendingFlag": false,
"workLocation": [
{
"Country": "US",
"Region1": "Denton",
"Region2": "TX",
"Region3": null,
"Building": null,
"Latitude": 33.01654,
"Longitude": -97.00674,
"LocationId": 300000014830298,
"PostalCode": "75067",
"TownOrCity": "Lewisville",
"AddressLine1": "2501 South State Highway 121",
"AddressLine2": "Suite 1100",
"AddressLine3": null,
"AddressLine4": null,
"LocationName": "TX_Z3E_2501 South State Highway 121"
}
],
"LegalEmployer": null,
"MediaThumbURL": null,
"WorkplaceType": "",
"BusinessUnitId": 300000004727261,
"OrganizationId": 1,
"PostingEndDate": null,
"LegalEmployerId": 300000009784171,
"PrimaryLocation": "Lewisville, TX, United States",
"WorkDurationYears": null,
"WorkplaceTypeCode": null,
"BeFirstToApplyFlag": false,
"WorkDurationMonths": null,
"otherWorkLocations": [],
"secondaryLocations": [],
"ShortDescriptionStr": "",
"requisitionFlexFields": [],
"DomesticTravelRequired": null,
"PrimaryLocationCountry": "US",
"ExternalQualificationsStr": null,
"ExternalResponsibilitiesStr": null,
"InternationalTravelRequired": null
},
"detail_meta": {
"url": "https://hdox.fa.us6.oraclecloud.com/hcmRestApi/resources/latest/recruitingCEJobRequisitionDetails?expand=all&onlyData=true&finder=ById;Id=%2261843%22,siteNumber=CX_1",
"http_status": 200,
"content_type": "application/json",
"response_bytes": 11232
},
"detail_errors": []
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/e218d66cd4b96aaea3f8c66c0a42ec06ea5ab8a6?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/713bb144-d54b-4881-b9cd-812786c6e9adJSONGET https://api.bluedoor.sh/job-postings/v1/sources/ae43b0b4-b775-4107-be5f-ba2264cec0f9JSONGET https://api.bluedoor.sh/job-postings/v1/jobs/e218d66cd4b96aaea3f8c66c0a42ec06ea5ab8a6/eventsJSON