Neuroimaging Data Scientist — MRI/Pipeline Innovator

Neurostars

Bethesda (MD)

On-site

USD 60,000 - 80,000

Full time

14 days+
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Job summary

Neurostars is seeking candidates for a position in the Scientific and Statistical Computing Core (SSCC) at the NIH in Bethesda, MD. The role involves developing programs and tools for FMRI/MRI/neuroimaging data analysis, maintaining software, and collaborating with a diverse range of projects focused on brain disorders and mental health research.

Qualifications include strong quantitative skills, experience in Python and C programming, and a solid background in software development and data analysis. Interested candidates should submit a cover letter, CV, and references.

Qualifications

  • Background in STEM, computing, statistics, or related fields.
  • Solid experience or strong background in software development, data analysis, and machine learning methods.

Responsibilities

  • Develop new programs and tools for FMRI/MRI/neuroimaging data analysis.
  • Test and maintain existing software and pipelines.
  • Script pipelines and contribute to data visualization tools.
  • Collaborate with Core members and external investigators on diverse projects.
  • Work independently and in teams to solve complex problems.

Skills

Strong quantitative skills
Experience with Python
Experience with C programming
Familiarity with R
Familiarity with shell scripting
Software development
Data analysis
Machine learning methods
Statistics
Excellent teamwork and communication skills

Job description

Neurostars is seeking candidates for a position in the Scientific and Statistical Computing Core (SSCC) at the NIH in Bethesda, MD. The role involves developing programs and tools for FMRI/MRI/neuroimaging data analysis, maintaining software, and collaborating with a diverse range of projects focused on brain disorders and mental health research.

Qualifications include strong quantitative skills, experience in Python and C programming, and a solid background in software development and data analysis. Interested candidates should submit a cover letter, CV, and references.

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