Trainee Cuda Programmer Jobs (NOW HIRING)

Job Summary:
Children’s Hospital of Philadelphia (CHOP) is seeking an Imaging Data Scientist III to lead the development of scalable imaging pipelines and computational workflows for pediatric neuro-oncology studies. This role focuses on advancing artificial intelligence and machine learning applications to improve clinical decision-making for pediatric brain tumors.
Responsibilities:
• Lead development and maintenance of scalable, cloud-enabled imaging pipelines and computational infrastructure for multi-institutional imaging studies.
• Design and implement automated workflows for medical imaging data ingestion, harmonization, preprocessing, quality control, storage, and analytics.
• Develop infrastructure for management and analysis of large-scale multimodal datasets, including MRI, digital pathology, clinical, and molecular data.
• Collaborate with investigators and consortium partners to support standardized imaging analysis across diverse institutions and datasets.
• Build reproducible and containerized workflows using modern software engineering and MLOps practices.
• Support development, deployment, and optimization of AI and machine learning models for medical imaging applications.
• Contribute to technical platform development for cloud-based and high-performance computing environments.
• Assist with integration of imaging-derived biomarkers with clinical, genomic, and other multimodal data for predictive modeling.
• Mentor junior analysts, trainees, and research staff in imaging analytics and computational workflow development.
• Contribute to grant applications, manuscripts, technical documentation, and collaborative scientific initiatives.
Qualifications:
Required:
• Master’s degree or PhD in Biomedical Engineering, Computer Science, Data Science, Medical Imaging, Bioinformatics, or a related quantitative field.
• At least five (5) years of applied algorithm development, data science, applied statistics, machine learning, or mathematical modeling projects experience.
• Expert proficiency with formulating analysis plans and selecting appropriate methods.
• Expert proficiency with machine learning and analytic tools (e.g., ScikitLearn, PyTorch, …).
• Expert proficiency with programming languages (Python).
• Expert proficiency with writing code in applied academic or professional projects.
• Expert proficiency with creating informative visualizations for complex, high dimensional data.
• Substantial knowledge of biological and medical domains.
• Excellent verbal and written communications skills.
• Ability to maintain confidentiality and professionalism.
• Ability to work independently with minimal supervision.
• Ability to gather, analyze and make recommendations/decisions based on data / best practices.
• Ability to convey complex or technical information in an easy-to-understand manner.
• Ability to collaborate with stakeholders at all levels.
Preferred:
• PhD in Biomedical Engineering, Computer Science, Data Science, Medical Imaging, Bioinformatics, or a related quantitative field.
• Significant experience developing computational pipelines and infrastructure for medical imaging analysis.
• Strong programming skills in Python and/or related scientific computing languages.
• Experience working with medical imaging formats and frameworks (e.g., DICOM, NIfTI, MONAI, ITK, SimpleITK, NiBabel).
• Experience with cloud computing platforms, containerization, and workflow orchestration technologies (e.g., Docker, AWS, Airflow, or similar).
• Familiarity with machine learning and deep learning methods for imaging analysis.
• Experience working with large-scale, multi-institutional biomedical datasets.
• Experience in pediatric neuro-oncology or neuroimaging research.
• Experience with imaging harmonization, federated learning, or distributed data infrastructures.
• Familiarity with multimodal AI frameworks integrating imaging, clinical, and molecular data.
• Experience with MLOps, software engineering best practices, and deployment of research tools into production environments.
• Prior leadership or team management experience.
• Track record of peer-reviewed publications and collaborative research contributions.
• Intermediate proficiency with distributed computing technologies (Akka, MapReduce, Cuda).
• Intermediate proficiency with probabilistic graphical, time series predictive, statistical/mathematical and Markov models.
• Substantial knowledge of relational databases.
• Substantial knowledge of web services application programming interfaces.
• Substantial knowledge of graph, key value, and document data stores.
Company:
Since its start in 1855 as the nation's first hospital devoted exclusively to caring for children, The Children's Hospital of Philadelphia has been the birthplace for many dramatic firsts in pediatric medicine. Founded in 1855, the company is headquartered in Philadelphia, USA, with a team of 10001+ employees. The company is currently Late Stage.