Research Specialist

University of North Carolina at Chapel Hill, United States

Updated: 24 days ago
Location: Chapel Hill, NORTH CAROLINA
Job Type: FullTime
Deadline: 03 Apr 2024

Posting Information
Posting Information


Department Pathology Lab Med - Research - 413804
Career Area Research Professionals
Posting Open Date 03/28/2024
Application Deadline 04/03/2024
Position Type Temporary Staff (SHRA)
Position Title Research Specialist
Position Number 20062478, 20062989
Vacancy ID S022887
Full-time/Part-time Full-Time Temporary
Hours per week 40
Work Schedule
Monday – Friday, 8:00am – 5:00pm
Position Location North Carolina, US
Hiring Range $17.48 - $42.08 per hour
Proposed Start Date 06/03/2024
Estimated Duration of Appointment 3 months or less

Position Information


Be a Tar Heel!
A global higher education leader in innovative teaching, research and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation’s top public universities . Known for its beautiful campus, world-class medical care, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn.
One of the best college towns and best places to live in the United States, Chapel Hill has diverse social, cultural, recreation and professional opportunities that span the campus and community.
University employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks that include numerous retail and restaurant discounts, savings on local child care centers and special rates for performing arts events.
Primary Purpose of Organizational Unit
The UNC School of Medicine has a rich tradition of excellence and care. Our mission is to improve the health and wellbeing of North Carolinians, and others whom we serve. We accomplish this by providing leadership and excellence in the interrelated areas of patient care, education, and research. We strive to promote faculty, staff, and learner development in a diverse, respectful environment where our colleagues demonstrate professionalism, enhance learning, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service.
OUR VISION
Our vision is to be the nation’s leading public school of medicine. We are ranked 2nd in primary care education among all US schools of medicine and 5th among public peers in NIH research funding. Our Allied Health Department is home to five top-ranked divisions, and we are home to 18 top-ranked clinical and basic science departments in NIH research funding.
OUR MISSION
Our mission is to improve the health and well-being of North Carolinians and others whom we serve. We accomplish this by providing leadership and excellence in the interrelated areas of patient care, education, and research.
Patient Care: We will promote health and provide superb clinical care while maintaining our strong tradition of reaching underserved populations and reducing health disparities across North Carolina and beyond.
Education: We will prepare tomorrow’s health care professionals and biomedical researchers by facilitating learning within innovative curricula and team-oriented interprofessional education. We will cultivate outstanding teaching and research faculty, and we will recruit outstanding students and trainees from highly diverse backgrounds to create a socially responsible, highly skilled workforce.
Research: We will develop and support a rich array of outstanding health sciences research programs, centers, and resources. We will provide infrastructure and opportunities for collaboration among disciplines throughout and beyond our University to support outstanding research. We will foster programs in the areas of basic, translational, mechanistic, and population research.
Position Summary
The Department of Pathology and Laboratory Medicine is looking for summer intern to work on the development of statistical and artificial intelligence algorithms for the analysis of high-resolution histology images. The Research Specialist will contribute to the development of novel computer vision algorithms that aim to solve specific translational or scientific questions in a variety of diseases including hematological malignancies, organ transplant rejection, neurodegenerative diseases, and breast/GI/brain/neuroendocrine tumors. The research may include: basic methodology development, empirical/theoretical validation and study, close collaborations with physicians/biologists, open-source software development, and contributing to writing manuscripts.
Minimum Education and Experience Requirements
Bachelor’s degree in a discipline related to the area of assignment; or equivalent combination of training and experience. All degrees must be received from appropriately accredited institutions.
Required Qualifications, Competencies, and Experience
Experience with the python data science ecosystem (e.g. numpy/pandas/matplotlib) and pytorch are necessary.
Preferred Qualifications, Competencies, and Experience
Previous experience working on projects in relevant areas which may include: deep-learning, computer vision, or spatial statistics.
Special Physical/Mental Requirements
Campus Security Authority Responsibilities

Not Applicable.
Special Instructions
APPLICANTS WILL ALSO BE CONSIDERED FOR 20062989
Quick Link https://unc.peopleadmin.com/postings/277444
Temporary Employment Policies
Temporary Employment Policies

Posting Contact Information


Office of Human Resources Contact Information
If you experience any problems accessing the system or have questions about the application process, please contact the Office of Human Resources at (919) 843-2300 or send an email to [email protected]
Please note: The Office of Human Resources will not be able to provide specific updates regarding position or application status.
Equal Opportunity Employer Statement
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.

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