Image Data Scientist in Center of Excellence for Structural Cell Biology

The Image Data Scientist is responsible for analysis of biomedical imagery data produced from a variety of imaging techniques at St. Jude. Designs, develops, tests, maintains, evaluates, documents and operates image analysis computer programs. Works closely with researchers to understand analytical needs and provides technical consultation, designs image analysis approaches, generates reports and performs analyses and results evaluation.

About the Role:

We are seeking a highly skilled and motivated Imaging Scientist to join our multidisciplinary team in developing and applying cutting-edge approaches for cryo-electron tomography and cryo-volume electron microscopy data analysis. The successful candidate will focus on image processing, segmentation, visualization and quantitative analysis of large 3D EM datasets to reveal (sub)cellular and molecular architecture underlying various biological processes. Working at the interface of cell biology, computational imaging and data science, this position offers a unique opportunity to contribute to discoveries that impact development of pediatric diseases.

The World's Brightest Minds Always Innovate

At St. Jude Children's Research Hospital, we know what can be achieved when the brightest scientific minds face the fewest barriers. That's why we provide world-class facilities. State-of-the-art technologies. Extraordinary support. And a collaborative, bench-to-bedside environment where you can see, firsthand, how your science translates into survival for the children we serve. Quite simply, at St. Jude, we encourage you to dream big and stop at nothing when it comes to finding cures and saving children.

Key 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.

Minimum Education and/or Training:

• Bachelor's degree in applied mathematics, physics, chemistry, bioinformatics, computer science, data science, computer engineering or related field required.
• Master's degree preferred.

Minimum Experience:

• 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.

Preferred Qualifications & Experience:

• 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

The World's Best Stop at Nothing

There's a reason St. Jude Children's Research Hospital is consistently ranked on Glassdoor's "Best Places to Work" list. Actually, there are more than 5,500 reasons. At our world-class pediatric research hospital, every one of our 5,500 professionals shares our commitment to making a difference in the lives of the children we serve. There's a unique bond when you are part of a team that will stop at nothing to advance the treatments and cures of pediatric catastrophic diseases. The result is a collaborative, positive environment where all employees, regardless of their role, receive the resources, support, and encouragement to advance and grow their careers.

Better at Work. Better at Life.

When you work at St. Jude, you'll join a highly collaborative work culture that inspires you every day to be your best. With opportunities for learning and growth, you can shape a career path that is right for you while also enjoying all the benefits and stability of working for a world-class institution. This includes work-life balance with generous paid time-off and on-campus conveniences that make life a little easier. Join us and you'll quickly see why St. Jude is consistently ranked by our employees on Glassdoor as a "Best Place to Work."

Compensation
In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $78,000 - $139,360 per year for the role of Image Data Scientist in Center of Excellence for Structural Cell Biology.

Explore our exceptional benefits!

St. Jude is an Equal Opportunity Employer

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