Description
We are seeking a bioinformatics research associate to join a dynamic new research group at the University of North Carolina. As part of a collaborative team at the UNC Lineberger Comprehensive Cancer Center, we will collect gene expression data on 2000 tumors per year for the NIH Cancer Genome Atlas project. We are recruiting a highly motivated team member to analyze Illumina next-generation sequence data from this project. The successful candidate will work independently to discover mutations and aberrant transcripts from tumors. This effort requires both the automation of third-party software, as well as code development to implement statistical tests and visualization tools. The candidate will generate reports to summarize these results and store them in a database. In addition, he or she will regularly communicate research findings to other scientists in the group.
Education Requirements
Applicants must have a Master’s degree in bioinformatics, computer science, statistics, electrical engineering, or a related field. A PhD degree is preferred.
Qualifications & Experience
Strong programming skills in C/C++ or Java are required, as well as a solid understanding of statistical methods. The applicant must demonstrate excellent communication skills and resourcefulness in working independently. Previous experience with mySQL, Oracle, R or MATLAB are preferred. The ideal applicant has at least 2 or more years of research experience with sequence analyses, microarray data and genomic databases.
Contact
Please apply online at http://jobs.unc.edu/1002020
To apply for this position, please provide cover letter, curriculum vitae and names of 3 references via jobs.unc.edu/1002020. The University of North Carolina at Chapel Hill is an equal opportunity/ADA employer. Women and minorities are encouraged to apply. Supported by the University Cancer Research Fund.
Seqanswers Leaderboard Ad
Collapse
Announcement
Collapse
No announcement yet.
Latest Articles
Collapse
-
by seqadmin
The field of epigenetics has traditionally concentrated more on DNA and how changes like methylation and phosphorylation of histones impact gene expression and regulation. However, our increased understanding of RNA modifications and their importance in cellular processes has led to a rise in epitranscriptomics research. “Epitranscriptomics brings together the concepts of epigenetics and gene expression,” explained Adrien Leger, PhD, Principal Research Scientist...-
Channel: Articles
04-22-2024, 07:01 AM -
-
by seqadmin
Proteins are often described as the workhorses of the cell, and identifying their sequences is key to understanding their role in biological processes and disease. Currently, the most common technique used to determine protein sequences is mass spectrometry. While still a valuable tool, mass spectrometry faces several limitations and requires a highly experienced scientist familiar with the equipment to operate it. Additionally, other proteomic methods, like affinity assays, are constrained...-
Channel: Articles
04-04-2024, 04:25 PM -
ad_right_rmr
Collapse
News
Collapse
Topics | Statistics | Last Post | ||
---|---|---|---|---|
Started by seqadmin, Yesterday, 08:47 AM
|
0 responses
15 views
0 likes
|
Last Post
by seqadmin
Yesterday, 08:47 AM
|
||
Started by seqadmin, 04-11-2024, 12:08 PM
|
0 responses
60 views
0 likes
|
Last Post
by seqadmin
04-11-2024, 12:08 PM
|
||
Started by seqadmin, 04-10-2024, 10:19 PM
|
0 responses
60 views
0 likes
|
Last Post
by seqadmin
04-10-2024, 10:19 PM
|
||
Started by seqadmin, 04-10-2024, 09:21 AM
|
0 responses
54 views
0 likes
|
Last Post
by seqadmin
04-10-2024, 09:21 AM
|