Sr. Image Data Scientist St. Jude Children's Research Hospital (Memphis, TN)


St. Jude Children’s Research Hospital is looking to fill the position of Senior Image Data Scientist to join its new Center for Bioimage Informatics. St. Jude has invested in cutting-edge imaging technology to address some of the toughest challenges in biomedical research facing the world today. These new technologies enable insights into biomedical systems that have traditionally been inaccessible, and produce multidimensional, complex and large image data. You will join a dynamic image analysis team in St. Jude’s fast-paced research environment to analyze this data and develop innovative solutions for a broad spectrum of biomedical imagery.

What you will be doing:

-Develop algorithms, computer vision techniques and image data analysis pipelines utilizing a variety of existing and custom software libraries
-Consult with St. Jude researchers and staff to exploit the full potential of image analysis in propelling individual experiments and research projects forward
-Work collaboratively on image analysis software development with other data scientists and software engineers, observing highest software engineering standards
-Deploy algorithms in an HPC context and optimize for accuracy and speed
-Consult with and train research staff as needed

Minimum Education:

Bachelor’s degree is required

Master’s degree or PhD is preferred in Computer Science, Electrical Engineering, Physics, Biomedical Engineering, or a related quantitative field
Minimum Experience

-Eight (8) years of relevant experience is required
-Four (4) years of relevant experience may be acceptable with a Master’s degree
-No additional experience required with a PhD in a relevant field

-Experience in independent image analyses and image data management is required
-Experience in programming with at least two established programming languages (e.g. Python, R, Matlab, Java, C/C++) is required
-Experience in and the ability to communicate clearly and consult with a wide range of users and colleagues is required
-Experience in machine learning techniques applied to image analysis
-Comfortable working in a fast-paced international research environment and with a can-do attitude
-Excellent communicator (written and verbal)

Ways to stand out:

-Experience with medical imaging or microscopy
-Experience implementing large-scale and/or real-time image processing algorithms or computer vision systems
-Experience with deep learning or a demonstrated motivation to grow in that area
-Publications record in peer-reviewed Journals/Conferences

If interested please apply at: