Ph.D. studentship in computational genomics/genetics of pain

Institution/Company:
McGill University
Location:
Montreal, QC, Canada
Job Type:
  • PhD
Degree Level Required:
Masters
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Ph.D. studentship in computational genomics/genetics of pain

The Human Pain Genetics lab is seeking a highly-motivated student to undertake a Ph.D. program under the supervision of Dr. Luda Diatchenko. The candidate should have a strong background in computer science, bioinformatics or statistics, with keen interest in solving problems related to the genetics and/or genomics of pain.

The Human Pain Genetics lab is part of the Alan Edwards Centre for Research on Pain, at McGill University. The center groups researchers from the Faculties of Medicine, Dentistry and Science. Researchers focus on the study of pain. Being part of this world-wide recognized Pain Center not only facilitates an excellent environment for collaborations but also creates unique learning opportunities, and offers exposure to a variety of approaches in pain research. The center’s approach is multi-disciplinary; bringing together people with expertise in bioinformatics, statistics, computational biology and chemistry, epidemiology, medicine and more.

As a requirement, the candidate should have completed a thesis-based Master’s degree or have a related background in computer science, human genetics or bioinformatics. The candidate should also meet the requirement of McGill University graduate admission criteria.

Responsibilities:

The successful candidate will make use of the lab’s exclusive data sets as well as those in public databases to: 1) make specific predictions at the SNP, gene or pathway level about pathophysiology of pain, and/or 2) help explain or summarize existing findings in a bigger, integrated and unified concepts. Predictions can be experimentally verified using means of molecular biology, or at the whole organism level in an animal model of choice.

Qualifications:

The candidate should have demonstrable skills in unix, proficient in at least one programming language (R, perl, python, C/C++, etc), statistics, data visualization, and knowledge of public bioinformatics datasets and tools. Furthermore, the candidate should possess well-rounded written and verbal communication skills in English, as well as a strong publication record in a relevant field.

  • How to Apply

    Candidates should send a cover letter, a current CV, a statement of interest, and two references’ email addresses, with the job ad title as the subject

Additional Information

Applications will be processed until the position is filled.

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