POSTDOCTORAL ASSOCIATE

Work Arrangement:

Requisition Number: 239317

Regular or Temporary: Regular

Location:

Durham, NC, US, 27710

Personnel Area: MEDICAL CENTER

Date: Nov 9, 2024

School of Medicine Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental scientific discoveries to improve human health locally and around the globe. Composed of more than 2,500 faculty physicians and researchers, more than 1,300 students, and more than 6,000 staff, the Duke University School of Medicine along with the Duke University School of Nursing, Duke University Health System and the Private Diagnostic Clinic (PDC) comprise Duke Health. a world-class academic medical center. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Primary Care, Duke Home and Hospice, Duke Health and Wellness, and multiple affiliations.

Occ Summary

Conduct independent research activities under the guidance of a facultymentor in preparation for a full time academic or research career.

A postdoctoral Research Associate (computational biology and bioinformatics area) position is open at Duke University School of Medicine in the lab of Dr. Yi Zhang starting Jan 2024 or later. The ideal candidate will develop novel statistical and machine learning methods for multi-omics data (such as bulk and large-scale single-cell RNA sequencing data, spatial transcriptomics, bulk and single-cell multi-omics data, or genetic variants and functional genomics data), and apply the computational methods to integrative genomics data to understand cancer genomics, tumor microenvironment, and immunology. The individual will work with Dr. Yi Zhang (https://yi-zhang-compbio-lab.github.io) to develop computational methods and also collaborate with other groups in quantitative genomics areas in and outside Duke University.

Preferred qualifications:

PhD (completed in the last 1-3 years or PhD candidate) in a quantitative discipline, including Computational Biology, Bioinformatics, Computer Science, Bioengineering, Biophysics, Biostatistics, Mathematics, Statistics, Electrical Engineering, Biomedical data science, etc; Candidates with multidisciplinary backgrounds are also welcome.
Strong skills in computational and data analytical methodology development and implementation; experience in supervised and unsupervised machine learning, low-dimensional models or deep learning models, and willingness to learn about new methods, is a plus.
- Strong programming skills in Python or R, and Linux Shell; experience in genomics data processing and open source repositories e.g. GitHub is a plus.
- Strong motivation and interest to analyze genomics data and interpret cancer biology from data; experience or interest in cancer genomics, tumor microenvironment, single-cell data, spatial omics, immunology, gene regulatory networks, non-coding genome, genetic variants and functional genomics, is a plus.
- Excellent communication skills including writing, publishing, and presenting research; proven track record of publishing in peer-reviewed journals as major author; willingness to collaborate in a multidisciplinary research environment.

Knowledge, Skills and Abilities

See job description for requirements.

Minimum Qualifications

Education

See job description for education requirements.

Experience

See job description for requirements.

Duke 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 aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas—an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.

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