Postdoc Research Associate
Postdoc Research AssociateVacancy ID:
Lineberger Compr Cancer Center - 426801Position Type:
Postdoctoral ScholarSalary Range:
Dependent on Education/QualificationsFull-time/Part-time:
Full TimeProposed Start Date:
05/01/2017Estimated Duration of Appointment:
12 MonthsPosting Open Date:
04/03/2017Open Until Filled:
Chapel Hill, NCPosition Summary:
The Yeh Lab in the Lineberger Comprehensive Cancer Center the University of North Carolina at Chapel Hill aims to understand the pathogenesis and pharmacogenomics of pancreatic cancer in order to accelerate its treatment. Using a combination of molecular and genomic data, and human in mouse models, we have identified four core subtypes in pancreatic cancer with important biologic and clinical implications. We are seeking a postdoctoral associate in cancer genomics and cancer biology with excellent molecular biology skills. The qualified candidate will integrate information from a combination of sources, including high throughput screens, proteomic, and next-gen sequencing data in order to generate and validate hypotheses of therapeutic relevance to pancreatic cancer.Educational Requirements:
PhD in molecular biology, cancer biology, cancer genomics or related.Qualifications and Experience:
Have experience with common experimental techniques in molecular biology.
Have experience in mouse models.
Have experience in handling large datasets.
Have a thorough understanding of common statistical tests and distributions.
Be able to collaborate with experimental team members for validation of computational results.
Be comfortable maintaining datasets, as well as displaying and interpreting processed data for publication.
Work alongside domain experts in the optimization and development of experimental measurement platforms and protocols.
To be successful, the candidate must have experience in and interested in developing several of the following skill-sets:
Thorough knowledge of cancer biology, epigenetics, proteomics, and transcriptomics
Familiarity with next-generation sequencing data analysis tools
Experience working in Linux environments, including batch job management on shared computing resources
Familiarity with a variety of supervised and unsupervised classification techniques
Proficiency in one or more statistical or scripting languages, preferably R or MATLAB
Knowledge of survival-based statistical analysis, e.g. Cox regression and Kaplan-Meier analysis
Working knowledge of best-practices for machine learning to avoid over fitting
Ability to communicate scientific material and collaborate well with computational and non-computational partners
Excellent oral and written communication skills and the ability to perform both self-directed and guided research
Outstanding personal initiative and the ability to work effectively as part of a team
Willingness to assist in the mentorship and training of pre-doctoral researchers
The University of North Carolina at Chapel Hill is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender, gender expression, gender identity, genetic information, race, national origin, religion, sex, sexual orientation, or status as a protected veteran.Special Instructions:
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