Specialist Research Assistant - CDC Flax Program
University of Saskatchewan
Saskatoon, SK
Specialist Research Assistant - CDC Flax Program (req4078)

The University of Saskatchewan values diversity, and Indigenous engagement is a strategic priority.

Department: Plant Sciences
Location: Saskatoon
Status: Term up to 36 month
Employment Group: Research
Full Time Equivalent (FTE): 1.0
Posted Date: 4/1/2019
Closing Date: Until Filled
Number of Openings: 1

Primary Purpose:
The Crop Development Centre at the University of Saskatchewan in Saskatoon is seeking a highly motivated applied research scientist to support scientific research in the Flax Breeding Program. The successful applicant will have the essential knowledge and skills, a proven track record, a willingness to keep learning and be able to apply their skills to provide essential scientific support to the Flax Breeding Program.

Nature of Work:
This position will report to the primary investigator of the research program. The Specialist Research Assistant is flexible and able to work independently on projects as assigned by the Program Chair. She/he should have good verbal and written communication skills be able to prepare summaries, reports, figures and presentations. Importantly, the incumbent must be able to work independently and collaboratively, with a team of applied scientists, technicians and with project collaborators. Salary will be based on experience. The University of Saskatchewan is strongly committed to a diverse and inclusive workplace that empowers all employees to reach their full potential. All members of the university community share a responsibility for developing and maintaining an environment in which differences are valued and inclusiveness is practiced. The university welcomes applications from those who will contribute to the diversity of our community.

Typical Duties/Accountabilities:
  • Flax breeding database development.
  • Flax breeding database Management.
  • Bioinformatics support.
  • Advanced statistics for field trials.
Qualifications

Education: Ph.D. in Computer Science, Statistics, Mathematics, Bioinformatics or related fields or M.Sc. in computer science or bioinformatics with relevant work experience.

Experience: A background in crop genetics, breeding and field scale experimentation (e.g. randomized complete block - RCBD, lattice, modified augmented –MAD type 2 design). Extensive knowledge of plant genomics, DNA molecular markers (e.g. SNP) and next generation sequencing (NGS) data. Specialization in statistical methods, analysis of variance (ANOVA), multi-comparisons, correlation, principal component (PCA) and cluster analysis with particular knowledge on the general linear mixed model method (GLMM) and relational database management (e.g. Agrobase) for plant breeding. And experience with genomic and phenotype data integration and application.

Skills: Ability to perform statistical and bioinformatics analyses with diverse statistical software, bioinformatics tools, Linux commands and scripts. Computational skills to execute data analysis, visualize, provide interpretation and context to results of analysis. Knowledgeable with statistical packages including R, SAS, Python, Linux and MySQL query. And the ability to code in Python, JavaScript, JQuery, JSON, CSS, HTML5, Bootstrap and D3 for web development

How to apply:
Qualified individuals with Canadian citizenship or permanent resident status are invited to submit their application online (not to Dr. Booker's email), with a one page curriculum vitae and contact information for 3 references.

Questions and inquiries can be directed to Dr. Helen Booker at (helen.booker@usask.ca).

Application deadline April 30, 2019. Salary including benefits commiserate with candidate’s qualifications and experience.

The University of Saskatchewan is strongly committed to a diverse and inclusive workplace that empowers all employees to reach their full potential. All members of the university community share a responsibility for developing and maintaining an environment in which differences are valued and inclusiveness is practiced. The university welcomes applications from those who will contribute to the diversity of our community. All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority.