Data Scientist, Medical Imaging

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and sustain Python pipelines that prepare extensive and diverse medical imaging collections for analysis, ensuring high standards of metadata quality and addressing clinical-data discrepancies.

• Create, implement, and assess AI models for tasks such as segmentation, classification, and image embeddings.

• Utilize conventional image analysis techniques for registration, normalization, and feature extraction, integrating them with machine learning methodologies where applicable.

• Construct and assess models that merge imaging data with clinical information and reports, using robust validation practices.

• Link imaging outcomes with patient records, cohorts, and results through clinical data frameworks and standardized vocabularies.

• Execute reproducible, scalable pipelines utilizing workflow orchestration, containers, and cluster or cloud computing resources.

• Maintain well-tested and documented code to ensure others can replicate the work.

• Collaborate with clinicians, imaging scientists, and software engineers to define research questions and interpret outcomes.

• Clearly present findings and contribute to publications, conference presentations, and open-source projects.

• Assist biomedical research initiatives in partnership with federal health entities.

⛳️ Requirements

• A Master's degree or PhD in biomedical engineering, computer science, data science, medical physics, electrical engineering, or a related quantitative discipline, or a Bachelor's degree accompanied by equivalent experience.

• A minimum of three years of practical experience in medical image analysis, whether in research or industry settings.

• Proficient in Python, including expertise with scientific computing and deep learning libraries, with a consistent practice of writing tested and maintainable code.

• Knowledge of DICOM, NIfTI, and other medical imaging formats.

• Experience in applying AI techniques to medical images, covering segmentation, classification, and embeddings.

• Familiarity with conventional image analysis algorithms for registration, feature extraction, and machine learning applications.

• Proven ability to rigorously evaluate models on imaging data, employing solid validation design and relevant performance metrics.

• Experience handling clinical imaging data and understanding its privacy regulations.

• Comfortable working in Linux environments, utilizing version control and containerization.

• Capable of effectively collaborating in a highly interdisciplinary setting and articulating complex technical ideas clearly.

• Preferred: Experience with Nextflow or similar workflow orchestration tools in cluster or cloud environments.

• Preferred: Familiarity with EHR data, OMOP or FHIR clinical data models, and established clinical vocabularies.

• Preferred: Knowledge of the OMOP medical imaging extension or experience with imaging data in research data repositories.

• Preferred: Background in multimodal models that integrate imaging with EHR data or clinical narratives, including medical foundational models.

• Preferred: Experience in microscopy or digital pathology image analysis.

• Preferred: Proficiency in SQL and relational or analytical databases.

• Preferred: A history of publications, conference presentations, or contributions to open-source projects in medical imaging or machine learning.

• Preferred: Experience collaborating with NIH or other federal health and biomedical research organizations.

🏝️ Benefits

• Comprehensive 100% Medical, Dental & Vision Coverage for Employees.

• Generous Paid Time Off and Paid Holidays.

• 401K matching up to 5%.

• Educational Benefits aimed at Career Advancement.

• Employee Referral Bonus program.

• Flexible Spending Accounts: Healthcare (FSA), Parking Reimbursement Account (PRK), Dependent Care Assistant Program (DCAP), Transportation Reimbursement Account (TRN).