Seeking motivated graduate students (Master/PhD) in Computational Cancer Genomics.
Application Period: Jan. 20, 2021 - Feb. 19, 2021
We are no longer accepting applications for this position.
Nous n'acceptons plus les candidatures pour ce poste.
Contact: swneke.bailey@mcgill.ca
The Bailey Lab is a computational lab and part of the Thoracic Surgery and Upper Gastrointestinal Cancer Research Laboratories (http://thoracicsurgery.lab.mcgill.ca) at the McGill University Health Centre (MUHC). We are seeking highly motivated graduate students (Master/PhD) in Computational Cancer Genomics.
Current areas of interest in the lab include:
(1) identification molecular biomarkers predicting progression to metastases from esophageal and gastric cancers;
(2) The role of non-coding regulatory elements in driving metastases; and
(3) Computational approaches to assess the impact of non-coding somatic alterations.
General Duties:
- Perform studies, analyze data;
- Supervise and train students;
- Assist with preparation of reports, manuscripts and grant applications;
- Present work at internal, local, national and international meeting.
Although, several projects exist the successful candidate can have substantial input into their specific project.
Requirements:
The successful candidate will be a recent graduate from a quantitative field, such as: genetics, biostatistics, bioinformatics, computer science, or a related discipline. The candidate must demonstrate strong written and verbal communication skills. Wet-lab scientists with experience performing their own analyses are also encouraged to apply.
Candidates should have:
- Experience working in a Unix environment (e.g. shell scripting, using command-line tools)
- Knowledge/experience conducting genomic data analyses (e.g. WES, WGS, ChIP-Seq, RNA-Seq)
- Knowledge/experience in statistical analyses with R
- Proficiency in a programming/scripting language (e.g. Perl, Python)
- Knowledge of cancer biology is considered an asset
Contact: swneke.bailey@mcgill.ca
