Fellowship

Stanford PMHW; Palo Alto (CA); Hybrid; USD 65,000 - 90,000; Full time

Job summary

Stanford University invites applications for a Postdoctoral Research Training Fellow in Clinical Psychiatry and Psychology to advance functional neuroimaging in depression and precision medicine. The role emphasizes leadership in imaging analyses, integrating imaging with behavioral and clinical outcomes, and guiding computational models.

You will collaborate with a dynamic team and contribute to high-impact publications, leveraging multi-band fMRI, task and resting-state analyses, and advanced

Qualifications

• PhD or MD/PhD in neuroimaging or related field.
• High-level fMRI experience including resting and task fMRI.
• Interest in mood and cognitive impairment research.
• Demonstrated capacity to drive first-author publications.
• Self-motivated with interdisciplinary collaboration.
• Familiarity with precision medicine approaches.
• Experience with human subject data.
• Proficiency with R or similar; SPM and connectivity toolboxes desirable.

Responsibilities

• Lead imaging data analyses and integrate with behavioral and clinical outcomes.
• Develop computational models to evaluate causal and predictive relationships.
• Drive peer-reviewed publications from imaging findings.
• Collaborate across an interdisciplinary team of investigators.
• Manage project milestones and productivity.

Skills

fMRI analysis

Resting-state fMRI

Task fMRI

Multi-band imaging

Statistical analysis

R programming

SPM toolbox

Connectivity toolboxes

First-author publications

Interdisciplinary collaboration

Education

PhD or MD/PhD in neuroimaging

Tools

SPM

Connectivity toolboxes

R

Job description

Postdoctoral Research Training Fellowships in Clinical Psychiatry and Psychology

JOB DESCRIPTION

We are seeking a well-trained postdoctoral scientist who is motivated to develop and apply expertise in functional neuroimaging in precision medicine studies in depression. Especially sought are candidates with expertise in functional imaging analyses of both single and multi-band imaging task data, collected over multiple time points, and with a particular interest in mood and cognitive states. The candidate will work on a priority-funded project in which individuals with depression are assessed with functional neuroimaging, cognitive behavioral, and symptom measures before, during, and after treatment. Treatment includes both selectively targeted pharmacotherapy and TMS.

This project is led by Stanford University. The postdoctoral scientist will work within a thriving and interdisciplinary team of faculty investigators, postdocs, research coordinators, and clinicians. The projects also involve exciting collaborations with leaders at other institutions. The expectation will be that the postdoctoral scientist leads imaging data analyses, integrating imaging with behavioral and clinical outcomes, and deploying computational models evaluating causal and predictive relationships. The post-doctoral scientist will drive peer-reviewed publications from the outcomes and have scientific leadership in project management. There may be related opportunities to develop neuroimaging analyses from the large existing datasets available through the lab and center.

REQUIRED SKILLS AND EXPERIENCE

• PhD or MD/PhD in a field(s) relevant to functional neuroimaging and neuroimaging data analysis.
• High-level experience with functional magnetic resonance imaging, spanning resting fMRI, task fMRI, and multi-band functional imaging.
• A clear motivation to pursue research in neuroimaging applied to understand and treat brain circuit disruptions underlying mood and cognitive impairments, characteristic of disorders such as depression.
• A demonstrated capacity to drive first-author publications.
• Self-motivated with a preference for working within an interdisciplinary, collaborative environment.
• Strong interest in and familiarity with precision medicine approaches is preferred.
• Familiarity with psychological concepts and/or experience with human subject data is preferred.
• Profound experience in statistical and computational approaches. Experience with R or similar scripting environments is necessary. Substantial experience with SPM and connectivity toolboxes is highly desirable.

ABOUT THE PRINCIPAL INVESTIGATOR

The supervising PI for this position is Dr. Leanne Williams, https://profiles.stanford.edu/leanne-williams .
The position will be based within a collaborative team that values cooperation, fairness, efficiency and conscientiousness.