[Remote] Image Data Scientist in Center of Excellence for Structural Cell Biology
Note: The job is a remote job and is open to candidates in USA. St. Jude Children's Research Hospital is a leading pediatric research institution dedicated to advancing cures for catastrophic diseases. The Image Data Scientist will analyze biomedical imagery data, develop image analysis programs, and collaborate with researchers to support cutting-edge imaging techniques.
Responsibilities
- Develop and implement automated and semi-automated segmentation pipelines for volume EM datasets (FIB-SEM and TEM tomography)
- Apply and adapt machine learning and deep learning techniques for feature detection, instance segmentation, and 3D reconstruction
- Perform quantitative image analysis, including morphometric and spatial characterization of cellular and organellar structures
- Manage large imaging datasets using high-performance computing and scalable data workflows
- Document and disseminate computational methods, contributing to open-source tools and scientific publications
- Support training and mentorship of staff and collaborators in image analysis workflows
Skills
- Bachelor's degree in applied mathematics, physics, chemistry, bioinformatics, computer science, data science, computer engineering or related field required
- Minimum Requirement: Bachelor's degree with 1+ years of work experience in relevant area (e.g., applied mathematics, physics, chemistry, bioinformatics, computer science, data science, computer engineering) required
- Experience Exception: Master's degree with no experience
- Experience in image analyses, image data management, and programming (e.g., Python, R, Matlab, Java, C/C++)
- Experience in image analysis platforms (e.g., ImageJ/Fiji, CellProfiler), scientific computing, scientific data visualization, scientific computer code optimization and evaluation in an HPC environment, development of algorithms, statistical methods or scientific software, working with large image data volumes, biological/medical imaging
- PhD or equivalent degree in Structural Biology, Biophysics, Biochemistry, Cell Biology or a related field
- Demonstrated expertise in 3D image processing and segmentation, ideally with electron microscopy or other large-volume imaging modalities
- Experience with alignment of correlated light and electron microscopy datasets
- Experience with visualization tools such as Napari, ChimeraX, Blender, or similar
- Experience with deep learning frameworks such as TensorFlow is a plus
- Familiarity with large-scale data management is advantageous
- Strong problem-solving skills
- Ability to work independently and within an interdisciplinary team
- Excellent communication skills and a collaborative mindset
Benefits
- Generous paid time-off
- On-campus conveniences that make life a little easier
Company Overview
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