Research Assistant Professor in Genetics

Location
Chapel Hill, NC
Posted
Dec 15, 2018
Institution Type
Four-Year Institution

Position Type: Permanent Faculty

Department: Lineberger Compr Cancer Center - 426801

Appointment Type: Fixed Term Faculty

Vacancy ID: FAC0002632

Position Summary: The Bioinformatics Core Facility at the Lineberger Comprehensive Cancer Center (LCCC) provides bioinformatics and computational biology research services for the cancer center. As a member of the Bioinformatics Core Facility, the Research Assistant Professor will be responsible for data analysis, including statistical analysis, machine learning, and the development and execution of software to support LCCC sponsored research with minimal guidance. Specific research goals will be identified through collaboration with geneticists, oncologists, immunologists, and, biostatisticians. Fulfillment of this role requires ability to conduct research and collaborations independently, strong proficiency in R, strong scientific communication skills, experience with next-generation sequence analysis, Python or Perl, data mining, and statistical and machine learning experience.

Application Deadline: 12/13/2019

Education Requirements: A PhD in bioinformatics, genetics, computer science, mathematics, physics, genetics, statistics, computational biology, or relevant field is required.

Qualification and Experience: The candidate will have demonstrated quantitative research including applied statistics and machine or statistical learning in bioinformatics and genomics. Preferred Qualifications: - More than three years post-PhD bioinformatics experience - Knowledge of cancer biology, immunology, and microbiology - Demonstrated experience with methods development of viral detection from RNA-seq - Experience with mass cytometry/CyTOF data - Demonstrated experience with small RNA-seq - Experience analyzing B- and T-cell receptor repertoires

Equal Opportunity Employer: 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, national origin, race, religion, sex, sexual orientation, or status as a protected veteran.

Department Contact Name and Title: Nick McBride, HR Consultant

Department Contact Telephone Number or Email: [email protected]

Special Instructions for Applicants:

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