TA210792- Winter 2022-BINF*6970 Statistical Bioinformatics

Teaching Assistant Work Assignment
Posting Details
Type of Work Assignment and Bargaining Unit: 
GTA, Unit 1
Academic Unit: 
Integrative Biology
Semester(s) of Assignment(s): 
Winter 2022
This Work Assignment(s) may be assigned to fulfill the terms and conditions of a guaranteed Job Security Period: 
N/A
Course Details
Course Number: 
BINF*6970
Course Name: 
Statistical Bioinformatics
Course Format: 
In-Class
Course Description: 
See Course Calendar
Other Course Description or Assignment Information: 
IMPORTANT NOTE: U of G will progress its return to more conventional course delivery and offer in-person instruction for most courses in Winter 2022 in line with the Provost’s letter of Oct 18, 2021(https://news.uoguelph.ca/2021/10/update-on-plans-for-winter-2022-semester/). Compliance with the COVID-19 Vaccination Policy (https://www.uoguelph.ca/hr/staff-faculty-hr-policies-support-staff/713-covid-19-vaccination-policy) will continue to be required.
Projected Class Enrolment: 
TBD
Level of Appointment for GTA, GSA-1 UTA(s)
The following is an estimate of number and levels of available appointments at the time of posting. This may change (increase or decrease) at the time of assignment contingent on departmental needs.
This Posting includes Multiple Work Assignments: 
No
Number of Available 0.5 (70 hour) Work Assignments: 
0
Number of Available 0.75 (105 hour) Work Assignments: 
0
Number of Available Full 1.0 (140 hour) Work Assignments: 
1
Total Number (Load) of Assignment(s) Available: 
1
Duties and Responsibilities
Anticipated Duties and Responsibilities: 
Orientation-Training
Office Hours
Preparation
Student Consultation
Attending Lectures
Email Correspondence/Monitoring
Conducting Labs/Seminars
Meetings
Invigilating Exams
Grading
Qualifications
Required Qualifications: 
Must hold a Master of Bioinformatics or MSc in Bioinformatics degree or similar qualification (e.g. PhD transfer student who has completed the Masters-level bioinformatics coursework). Must currently be in the PhD of Bioinformatics or similar program. Must have demonstrable knowledge of advanced statistical concepts and techniques, e.g., regression models including logistic regression, clustering and classification. Must have strong programming and analysis skills in the R language and RStudio work environment, and comfort in employing data manipulation and visualization tools in R (e.g. ggplot2). Must have strong oral communication skills, as the TA will hold office hours to assist students with their course assignments. Must have strong attention to detail and conduct consistent grading of coding and statistical assignments. Must possess strong time management skills and be able to complete grading to deadlines and provide written feedback to students. By applying for this TA position, you are agreeing to be available from the start of the contract (January 6, 2022) to complete all assigned duties, available to attend all mandatory meetings, invigilation of exams as assigned, grade mid-term exams/papers, and be available to the end of the contract (May 2, 2022) to grade final exams/papers.
Days Required and Wages
Days and Times Required: 
TBD
Period of the Work Assignment (Start Date and End Date): 
January 6, 2022 to May 2, 2022
Wage Rate (per hour, per semester, per Full-load 1.0 Work Assignment): 
GTA $42.94/hr; $6014.68/semester effective 2021/22
Other Posting Information
Application Deadline (All postings will automatically expire at 11:59 pm on this day): 
Saturday, December 18, 2021
Posting Email Contact: 
ibjobs@uoguelph.ca
Hiring Contact Information: 
Dr. Sarah Adamowicz sadamowi@uoguelph.ca

At the University of Guelph, fostering a culture of inclusion is an institutional imperative. The University invites and encourages applications from all qualified individuals, including from groups that are traditionally underrepresented in employment, who may contribute to further diversification of our Institution. For more information, the Office of Diversity and Human Rights (DHR) is a welcoming, safe and confidential one-stop shop for information, training and support on issues relating to diversity and human rights on our campus.

All applicants must be eligible to work in Canada specifically at the University of Guelph before applying for an academic work assignment. All successful applicants must reside in Ontario and must be able to attend on-campus in-person meetings as required.

Teaching Assistant work assignments are unionized with CUPE 3913 and their terms and conditions of work are covered by the Unit 1 Collective Agreement between the University and CUPE 3913 (email contact: president@cupe3913.on.ca).