Philips

1 day ago

Data Scientist - Medical Imaging (Plymouth, MN)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Develop and validate AI/ML models for medical image processing to support clinical decisions and product development. Own the governance and quality control of medical imaging datasets, including data preprocessing, drift handling, and statistical evaluation. Collaborate with stakeholders to translate requirements into data science work, run training/tuning with cross-validation, and document models, assumptions, parameters, and performance metrics for generalizable results.

Location: United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design and develop machine learning models and algorithms, including training, evaluation, and tuning for recommendations or clinical decision support.
•Build and evaluate models using statistical analyses and advanced analytics to identify patterns and trends in imaging data.
•Gather, process, and verify raw imaging data quality, consistency, and reliability; address issues like data drift and preprocessing errors.
•Translate business requirements into data science projects and communicate data-driven recommendations to stakeholders.
•Validate models via statistical tests and cross-validation, and document data sources, cleaning steps, assumptions, parameters, and performance metrics.

Pay and Benefits

Salary: USD 120,487 - 192,780 annually

Perks:Paid Leave401kHsaEquityLearning Budget

Key Requirements

•Master’s degree in Data Science, Information Systems, Health Informatics, Biomedical Engineering, or related field (Ph.D. preferred).
•3+ years of professional experience as a data scientist in healthcare, life sciences, or medical devices.
•Strong understanding of medical imaging standards and formats such as DICOM and NIfTI.
•Proficiency in Python and data management for imaging datasets (e.g., SQL, NoSQL, imaging storage systems).
•Experience managing imaging databases and familiarity with labeling/annotation tools such as Labelbox or Supervisely.

Experience:3+ yearsHealthcareLife sciencesMedical devicesAI/ML

Education:Master's in Data Science, Information Systems, Health Informatics, Biomedical Engineering, or related field

Skills:CommunicationStakeholder collaborationStatistical analysisData governanceProblem solving

Tech Stack:PythonSQLNoSQLDICOMNIfTIPACSLabelboxSuperviselyHIPAAGDPRISO 13485FDA guidelines

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Philips

Global health technology company focusing on diagnostic imaging, patient monitoring, and consumer health products. Philips develops medical devices, healthcare informatics, and solutions to improve patient care and personal well-being.

Industry: HealthTech

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Amsterdam, Netherlands

Founded: 1891

Glassdoor: 3.8

Website LinkedIn

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Philips

1 day ago

Data Scientist - Medical Imaging (Plymouth, MN)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design and develop machine learning models and algorithms, including training, evaluation, and tuning for recommendations or clinical decision support.
•Build and evaluate models using statistical analyses and advanced analytics to identify patterns and trends in imaging data.
•Gather, process, and verify raw imaging data quality, consistency, and reliability; address issues like data drift and preprocessing errors.
•Translate business requirements into data science projects and communicate data-driven recommendations to stakeholders.
•Validate models via statistical tests and cross-validation, and document data sources, cleaning steps, assumptions, parameters, and performance metrics.

Pay and Benefits

Salary: USD 120,487 - 192,780 annually

Perks:Paid Leave401kHsaEquityLearning Budget

Key Requirements

•Master’s degree in Data Science, Information Systems, Health Informatics, Biomedical Engineering, or related field (Ph.D. preferred).
•3+ years of professional experience as a data scientist in healthcare, life sciences, or medical devices.
•Strong understanding of medical imaging standards and formats such as DICOM and NIfTI.
•Proficiency in Python and data management for imaging datasets (e.g., SQL, NoSQL, imaging storage systems).
•Experience managing imaging databases and familiarity with labeling/annotation tools such as Labelbox or Supervisely.

Experience:3+ yearsHealthcareLife sciencesMedical devicesAI/ML

Education:Master's in Data Science, Information Systems, Health Informatics, Biomedical Engineering, or related field

Skills:CommunicationStakeholder collaborationStatistical analysisData governanceProblem solving

Tech Stack:PythonSQLNoSQLDICOMNIfTIPACSLabelboxSuperviselyHIPAAGDPRISO 13485FDA guidelines

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Philips

Industry: HealthTech

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Amsterdam, Netherlands

Founded: 1891

Glassdoor: 3.8

Website LinkedIn