Clinical Neuroscience Data Specialist

The Stanford University Center for Precision Mental Health and Wellness is seeking a motivated and well-trained Clinical Neuroscience Data Specialist (Research Data Analyst 1) to manage and analyze high dimensional neuroimaging and behavioral datasets acquired in precision mental health studies. Especially sought are candidates with expertise in functional imaging data analysis in human subjects studies. 

The position will be based within Center’s Personalized and Translational Neuroscience lab. Studies in the lab use brain imaging approaches to improve our understanding and treatment of mental health conditions such as depression and anxiety. These studies are funded through the NIH and philanthropy. 

The Clinical Neuroscience Data Specialist will be tasked with managing incoming data, implementing data quality controls, visualizing data and generating and implementing analysis models for neuroimaging and behavioral data and their integration. Data are acquired at multiple time points, including pre- and post-treatment. The Clinical Neuroscience Data Specialist will also be responsible for sharing data through NIH data coordinating centers. The tasks are supported by an existing database and server infrastructure, and large existing datasets. 

The Clinical Neuroscience Data Specialist will work in close collaboration with an interdisciplinary team. There is a need for flexibility to work across different scripting and software environments and display agility in learning. Members of the Center possess deep domain experience in their chosen fields and an ability to communicate across fields. 

The position will be fully in person.

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Interested candidates should include:

1. A cover letter addressing requirements and why you are motivated to apply to this position and contribute to research in precision mental health and how your education and experience relate to the position as described above.
2. Resume or CV
3. In either your cover letter or resume, please list at least three professional references.

The position is open until filled. However, because of funding timelines and project milestones, we are seeking to fill this position as soon as possible.

The supervising PI for this position is Dr. Leanne Williams, https://profiles.stanford.edu/leanne-williams.

Learn more about the Lab and Center: http://med.stanford.edu/pmhw. The position will be based within a collaborative team that values cooperation, fairness, efficiency, and conscientiousness.

Specific Tasks include:

•  Collect, manage and clean large datasets.
• Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in human subjects data.
• Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements.
• Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions.
• Develop reports, charts, graphs and tables for use by investigators and for publication and presentation.
• Analyze data processes in documentation.
• Collaborate with faculty and research staff on data collection and analysis methods.
• Provide documentation based on audit and reporting criteria to investigators and research staff.
• Communicate with grant agencies in regard to data sharing centers.

* - Other duties may also be assigned