Postdoctoral Fellow, Clinical Neuroscience_Zha Lab

Description

The Postodoctoral Fellow is required to manage data projects in the Tulane Center for Clinical Neurosciences. He/she will be responsible for the creation, updating, maintenance, quality control and filtering, validation, security and analyses of research projects databases; along with multiplatform system programming and provision of computerized reports as needed.  He/she will also be responsible for developing bioinformatics and data analysis protocols and pipelines, and assisting with faculty analytic projects with a variety of other study related tasks, in compliance with standard operating procedures and regulatory agencies guidelines.

 

The Postdoctoral Fellow is responsible for all aspects of data analysis, including cleaning, organizing, managing, and monitoring data as well as composition of tables and figures to convey results.  The He/She is responsible for writing reports, designing presentations and summarizing the findings from analysis. He/She assists with development of works for publication from study results, as well as compilation of any other research-related activities deemed necessary by the principal investigators for the success of the research projects.

 

Additionally, He/She will support the preparation and revision of internal and external written and visual materials to support academic productivity. The incumbent will collaborate with the Neuroscience team and work on a wide range of materials to include but not be limited to create, review, and edit neuroscience presentations, and review and edit grants, grant materials, and manuscripts for publication. He/She will apply established principles of writing and Tulane style and branding guidelines. He/She will develop an understanding of Tulane Neurosciences, which will allow them to create and edit materials with content, tone, and technical aspects aligned with Tulane Neuroscience objectives, editorial and brand tone and style, and the School's mission, vision, and values.

Qualifications

*Ph.D. or M.D., within 6 months of hiring

1. Proficient in management, annotation, imputation and analysis of large scale genomics data
2. Proficient in the Microsoft Office Suite.
3. Proficient using a variety of genomic analysis software.
4. Excellent organizational, communication and interpersonal skills
5. Highly organized and detail oriented.

1. Ability to pay attention to detail with a high degree of accuracy.
2. Ability to work independently as well as part of a team. 

Application Instructions

Please submit an application using Interfolio via the "Apply Now" button on this page.

Applicants are asked to provide their CV for review by the search committee. You may upload additional materials to your application. 

 

Applications will be reviewed on an ongoing basis until the position is filled. If you have any questions about the application process please contact Kevin Grant at  Kgrant5@tulane.edu

Equal Employment Opportunity Statement

Equity, diversity, and inclusion are fundamental to advancing intellectual rigor, learning, and scholarship. Tulane University is committed to creating a community and culture that foster a sense of belonging for all. We do not discriminate on the basis of age, shared ancestry, color, disability (and including mental disorder, learning disability, physical disability), gender, gender expression, gender identity, genetic information, marital status, military status, national origin, pregnancy, race, religion, sex, sexual orientation, veteran status, or any other status or classification protected by federal, state, or local law. In fact, our commitment extends beyond mere compliance with the law.

We encourage all qualified candidates to apply. We are intentionally seeking candidates who are committed to fostering equity, diversity, and inclusion in support of Tulane’s Strategy for Tomorrow.

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