Responsibilities
- Design and develop machine learning models and algorithms to support clinical decisions or provide recommendations.
- Train, evaluate, and tune models to achieve robust performance.
- Build and assess models, perform statistical analyses, and extract insights from imaging data.
- Apply advanced analytics and ML techniques to identify patterns and trends.
- Gather, process, and verify the quality, consistency, and reliability of raw data from multiple sources.
- Identify and address data-related issues such as data drift or preprocessing problems.
- Collaborate with stakeholders to translate business requirements into data science projects.
- Communicate findings and provide data-driven recommendations to stakeholders.
- Validate models through statistical tests and cross-validation to ensure generalizability.
- Document data sources, cleaning processes, and detailed model descriptions, including assumptions, parameters, and performance metrics.
Requirements
- Master’s degree, Ph.D. preferred, in Data Science, Information Systems, Health Informatics, Biomedical Engineering, or a related field. Experience with Medical Imaging or Healthcare Data and knowledge of privacy regulations including HIPAA, GDPR, and medical device compliance (ISO 13485, FDA guidelines).
- 3+ years of professional experience as a data scientist in healthcare, life sciences, or medical device environments.
- Strong understanding of medical imaging standards and formats (DICOM, NIfTI) and familiarity with imaging data management tools (PACS, cloud-based storage for imaging data). Experience managing medical imaging databases and integrating imaging data into AI/ML workflows.
- Proficiency in Python and data management tools for organizing imaging datasets, such as SQL, NoSQL, or specialized medical data storage systems. Familiarity with data labeling platforms and tools for managing annotation processes (Labelbox, Supervisely).
- Ability to meet minimum physical, cognitive, and environmental job requirements with or without accommodations.
Technologies
- Python
- SQL
- NoSQL
- Labelbox
- Supervisely
- DICOM
- NIfTI
- PACS
Benefits
- PTO
- 401k match
- HSA with company contribution
- Stock purchase plan
- Education reimbursement
How we work together
We believe collaboration yields the best results. For office-based teams, in-person work is expected at least three days per week. Onsite roles require full-time presence at Philips facilities, while field roles are typically conducted offsite at customers or suppliers.
Philips transparency details
The pay range for this position in Plymouth, MN is USD 120,487 to USD 192,780. The actual base pay offered may vary based on factors such as job-related knowledge, experience, business needs, location, and internal equity. In addition, compensation may include incentives such as annual bonuses, stock-based awards, or long-term incentives. Philips Total Rewards includes PTO, 401k with up to 7% match, HSA with company contributions, stock purchase plan, education reimbursement, and more. Details about benefits are available in the Philips Total Rewards overview. It is not typical for Philips to hire at the top end of the range; compensation decisions are case-specific.
Additional information
- US work authorization is a precondition of employment; sponsorship will not be considered for this role.
- Relocation benefits are not provided for this position. You must reside in or within commuting distance to Plymouth, MN.
- #LI-PH1
- This requisition is expected to stay active for about 45 days and may close earlier if a suitable candidate is found or business needs change. Applicants are encouraged to apply promptly.
Equal employment and drug-free workplace
Philips is an Equal Employment Opportunity Employer supporting Disability/Vets and maintains a drug-free workplace.
