Sr Computational Research Scientist (Spatial Omics)

Project Description:

The Senior Computational Research Scientist leads, performs, and develops computational research projects under minimal supervision with a focus on spatial omics.

Position Responsibilities:

• Lead computationally focused scientific research projects with minimal supervision from their PI. Develop new computational methods.
• Identify, process, organize, interpret, review, and report relevant data.
• Direct data collection.
• Present research to colleagues within and outside the institution; draft a complex manuscript with minimal supervision, as required.
• Regularly train and oversee the work of others in computational research and procedures.
• Perform other duties as assigned to meet the goals and objectives of the department and institution.
• Maintains regular and predictable attendance.

Minimum Education and/or Training:

• Bachelor's degree in Bioinformatics, Molecular Biology, Biochemistry, Computer Science, or related field.
• Master's degree or PhD preferred.

Minimum Experience:

• Minimum Requirement: Bachelor's degree and 7+ years of relevant experience.
• Experience Exception: Master's degree and 5+ years of relevant experience (OR) PhD with 2+ years of relevant experience.
• Rough criteria for this position based on publication output: 1-2 first author papers IF > 10 (or equivalent contribution to other research outputs).
• Prior experience in computational research techniques and processes.
• Proven performance in earlier role/comparable role.

Special Skills, Knowledge, and Abilities:

Preferred: Knowledge and experience in spatial omics data analysis.

About the lab and St. Jude:

Recognized for state-of-the-art computational infrastructure, well-established analytical pipelines, and deep genomic analysis expertise, St. Jude offers a work environment where you will directly impact the care of pediatric cancer patients. As a Senior Computational Research Scientist, your responsibilities include analyzing data generated from a variety of second- and third-generation sequencing applications that interrogate a broad range of human gene regulatory biology.

The Department ofComputational Biologyprovides access to high-performance computing clusters, a cloud computing environment, innovative visualization tools, highly automated analytical pipelines, and mentorship from faculty scientists with experience in data analysis, data management, and delivery of high-quality results for competitive projects. We encourage first-author, high-profile publications to share this element of discovery.Take the first step to joining our team by applying now!

Compensation

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