Sr Staff Image Data Scientist — Time-Series & Neuroscience

St. Jude Children's Research Hospital•Memphis, TN

About The Position

The Sr Staff Image Data Scientist is responsible for providing technical design, implementation, and operational health of critical analysis platforms in assigned department. Serves as a technology advocate withing the St. Jude image analysis community. Will architect, design and develop image analysis platforms, independently lead engineering discussions and assess impacts to overall technology performance. Will engage with leadership and other internal and external experts. The NeuroImage Analysis core in the Department of Developmental Neurobiology (DNB) at St Jude Children’s Research Hospital is a team of computational scientists with a focus on turning image data into biological knowledge. We utilize computational tools at the cross-section of biology and cutting-edge microscopy methods to understand how brains are built during development and how neurons function in the brain and malfunction in disease. Explore the nexus of image analysis and data science. Dive into our unique and complex data, tackling neurobiology’s toughest challenges through innovative computational research. Join us, simplify the intricate, and make a real difference. This position emphasizes time-series analysis to advance research in calcium imaging, neural and behavioral dynamics, and chromatin dynamics.

Requirements

A Ph.D. or equivalent degree in mathematics, statistics, computer science, neuroscience, physics or a related field.
Strong background in statistical analysis and machine learning algorithms.
Proficiency in programming languages such as Python, R, MATLAB, or similar languages commonly used in scientific computing.
Strong expertise in time-series analysis, image and signal processing, and data visualization.
Excellent problem-solving skills and the ability to work independently as well as collaboratively in a team-oriented environment.
Strong communication skills to effectively convey complex concepts and results to both technical and non-technical stakeholders.
Work experience in relevant area (e.g., applied mathematics, physics, chemistry, bioinformatics, computer science, data science, computer engineering or related field)
Demonstrated technical thought leadership in an applied computational field (e.g., computer vision, deep learning, numerical optimization, image analysis, computer game design, scientific computing, fine element analysis, scientific visualization).
Substantial experience in image analyses, image data management, and programming (e.g., Python, R, Matlab, Java, C/C++).

Nice To Haves

Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and high-performance computing environments is a plus.
Experience in biological/medical imaging, deep learning, 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 preferred.
Proven performance in earlier role/comparable role.

Responsibilities

Develop statistical, time-series, and machine learning techniques to extract meaningful insights from complex biological data (large-scale neuroimages, light and electron microscopy, animal behavior, histopathology, etc).
Collaborate with scientists and researchers to design experiments and optimize data acquisition protocols for effective downstream computational analysis.
End-to-end image analysis from pre-processing and data cleaning to reporting results.
Stay up-to-date with the latest advancements in the field of data science.