SHIFT:
Day (United States of America)
A Brief OverviewWe are seeking an Imaging Data Scientist III to lead development of scalable imaging pipelines, infrastructure, and computational workflows for large-scale multi-institutional pediatric neuro-oncology and translational imaging studies. This position will support cutting-edge artificial intelligence (AI), machine learning (ML), and multimodal imaging research focused on improving diagnosis, risk stratification, treatment response assessment, and clinical decision support for pediatric brain tumors.
The successful candidate will work closely with multidisciplinary teams of clinicians, imaging scientists, data scientists, software engineers, and computational biologists to design and implement robust imaging analytics infrastructure capable of supporting large-scale collaborative research initiatives and clinical translation.
What you will do- 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.
Education Qualifications- Master's degree or PhD in Biomedical Engineering, Computer Science, Data Science, Medical Imaging, Bioinformatics, or a related quantitative field. Required
- PhD in Biomedical Engineering, Computer Science, Data Science, Medical Imaging, Bioinformatics, or a related quantitative field Preferred
Experience Qualifications- At least five (5) years of of applied algorithm development, data science, applied statistics, machine learning, or mathematical modeling projects experience Required
- 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. Preferred
- Experience with imaging harmonization, federated learning, or distributed data infrastructures. Preferred
- Familiarity with multimodal AI frameworks integrating imaging, clinical, and molecular data. Preferred
- Experience with MLOps, software engineering best practices, and deployment of research tools into production environments. Preferred
- Prior leadership or team management experience. Preferred
- Track record of peer-reviewed publications and collaborative research contributions. Preferred
Skills and Abilities- Expert proficiency with formulating analysis plans and selecting appropriate methods Required
- Expert proficiency with machine learning and analytic tools (e.g., ScikitLearn, PyTorch, ...) Required
- Expert proficiency with programing languages (Python) Required
- Expert proficiency with writing code in applied academic or professional projects Required
- Intermediate proficiency with distributed computing technologies (Akka, MapReduce, Cuda) Preferred
- Expert proficiency with creating informative visualizations for complex, high dimensional data Required
- Intermediate proficiency with probabilistic graphical, time series predictive, statistical/mathematical and Markov models Preferred
- Substantial knowledge of relational databases Preferred
- Substantial knowledge of web services application programming interfaces Preferred
- Substantial knowledge of biological and medical domains Required
- Substantial knowledge of graph, key value, and document data stores Preferred
- Excellent verbal and written communications skills Required
- Ability to maintain confidentiality and professionalism Required
- Ability to work independently with minimal supervision Required
- Ability to gather, analyze and make recommendations/decisions based on data / best practices Required
- Ability to convey complex or technical information in an easy-to-understand manner Required
- Ability to collaborate with stakeholders at all levels Required
SALARY RANGE:$129,700.00 - $171,900.00 Annually
Salary ranges are shown for full-time jobs. If you're working part-time, your pay will be adjusted accordingly.
At CHOP, we are committed to fair and transparent pay practices. Factors such as skills and experience could result in an offer above the salary range noted in this job posting. Click here for more information regarding CHOP's Compensation and Benefits.
