Develop Statistical Approaches for Studying Combinatorial Gene Regulation

Imagen de Paola Giusti-Rodriguez


Position Description: The overall goal of this position to develop new statistical for analyzing and interpreting high throughput genomic assays designed to study combinatorial gene regulation in the human genome. The position is funded through a recently awarded NHGRI Center of Excellence (CEGS) in Genome Science. The focus of the Duke CEGS is to develop new and high-throughput technologies to investigate how combinatorial gene regulation contributes to human health and disease. A multidisciplinary team of seven Duke principal investigators leads the project. The postdoctoral associate hired for this position will report directly to PI Dr. Andrew Allen.

The successful applicant will lead projects developing new statistical approaches to analyze data from new and improved CRISPR systems for facile and highly multiplexed genome editing. We are particularly interested in candidates with expertise in the analysis of high throughput genomic data, including RNAseq, scRNAseq, and CRISPR-based assay data. The candidate will work with a team of faculty, clinicians, postdoctoral associates, graduate and undergraduate students conducting research and training on human gene regulation.

Requirements and Expectations: A statistics, biostatistics, bioinformatics, statistical genetics or other related disciplines isrequired. The ideal candidate will also have a demonstrated track record of scientific productivity, for example via published manuscripts and/or fellowship funding; experience analyzing data from high-throughput biological experiments; and is excited to work in a highly collaborative and multi-disciplinary research environment. This is a 5-year appointment and will be based in Durham, NC. The position will involve travel to annual CEGS meetings once the COVID-19 pandemic subsides.

Compensation and Benefits: We offer very competitive salary and excellent benefits. Visit the Duke University Office of Postdoctoral Service website at and Duke HR website at for details.

Application: If interested in this position, please apply directly at Duke Careers (Req #74548). Please upload/attach your cover letter that includes contact information for 2-3 references, your CV and Research Statement (one page or longer). Applications will be considered on an ongoing basis.

For questions: Contact Shannon Clarke (

Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status. Duke also makes good faith efforts to recruit, hire, and promote qualified women, minorities, individuals with disabilities, and veterans.



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