Neuroimaging Data Scientist — MRI/Pipeline Innovator

Neurostars; Bethesda (MD); Sur place; USD 60 000 - 80 000; Plein temps

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

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

Description du poste

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.