SL206699-Winter 2022-BINF*6110 Genomic Methods for Bioinformatics

Sessional Lecturer Work Assignment
Sessional Lecturer, Unit 2
Academic Unit: 
Integrative Biology
Semester(s) of Assignment(s): 
Winter 2022
Number of Available Work Assignment(s) / Sections: 
1
Level of Work Assignment(s): 
Other:
50%; 1 modules available.
Right of First Refusal (RoFR)
A Sessional Lecturer holds a RoFR (i.e., for a particular course) if they have successfully taught the course in the past six (6) semesters. A SL who holds a RoFR to this course is required to exercise their right by way of the online hiring system. Also see: What is Right of First Refusal (RoFR)?
A Sessional Lecturer Currently Holds a Right of First Refusal for this Course: 
No
Number of Assignments that Carry the Right of First Refusal: 
4
Course Details
Course Number: 
BINF*6110
Course Name: 
Genomic Methods for 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
Anticipated Duties and Responsibilities
Anticipated Duties and Responsibilities: 
Office Hours
Preparation
Student Consultation
Lecturing
Email Correspondence/Monitoring
Invigilating Exams
Grading
Other Duties Described: 
Lead Computer-Based Tutorials. This course is divided into two modules. Module #1 (50%, taught by faculty) will cover an introduction to analysis methods for prokaryote genomics, using high-performance computing. Module #2 (50%, work assignment available) will provide an introduction to eukaryote genomic analysis. Topics will include: a) a brief overview of types of -omics data and their application domains; b) alignment (including both DNA and RNASeq) of high-throughput sequence data, including choice of reference genome, and assembly; c) detection and filtering of genomic variants; and d) advanced analyses. Part d should include at least two of: genome-wide association study (GWAS), functional analysis, splice analysis, comparative genomics analysis, population genomics, and/or systems biology. Students must gain hands-on experience working in a high-performance computing environment and in performing quality control, read mapping to a reference genome, variant calling, and genomic analysis. At the end of the module, instructors may (optionally) also choose to incorporate additional methods relevant to their expertise (e.g. proteomics, metabolomics). Each 80-minute class may include a combination of lecture/background and a hands-on computer tutorial.
Qualifications
Required Qualifications
Degree: 
PhD related to field
Prior Teaching Experience: 
Successful teaching related to field at college or university level
Required competence, capability, skill and ability related to course content: 
Applicants should have prior teaching, including GTA appointments, and research experience in areas relevant to this course. This course provides students with an introduction to current and emerging methods used to generate and analyze genomic data. For Module #2: The applicant will have proven expertise and research experience in primary bioinformatics tools used in eukaryote sequence analysis (examples include read mapping to a reference genome, quality control, gene functional analysis on a genomic scale, comparative genomics analysis) and knowledge & experience in analyzing genes and genomes (including NCBI tools and genome browsers). A clear understanding of current techniques for the generation and analysis of data is needed, along with the knowledge of emerging methods to address limitations in the field. Candidates will have experience in using a Unix environment to filter raw read data and perform quality control, sequence mapping to a reference genome, and analysis of sequence and splice variants. The applicant must also have experience working with Compute Canada resources.
Preferred Qualifications
Degree: 
PhD related to field
PhD and expert in course content
Prior Teaching Experience: 
Many years of successful teaching related to contents of the course.
Research Experience: 
Quality and or Recent Research activity in areas relevant to the course demonstrating knowledge of current developments in course content.
Specific Preferred competence, capability, skill and ability related to course content: 
Preferred applicants will have extensive experience in the topics mentioned above. Applicants are encouraged to submit a cover letter and CV and highlight 1-2 publications or to submit 1-2 scripts as part of demonstrating proficiency.
Days Required and Wages
Days and Times Required: 
TBD
Period of the Work Agreement (Start Date and End Date): 
January 6, 2022 to May 2, 2022
Wages (per semester, per full-load): 
minimum $7,617.56 (effective 2021/22)
Other Posting Information
Application Deadline (All postings will automatically expire at 11:59 pm on this day): 
Friday, December 3, 2021
Posting Email Contact: 
ibjobs@uoguelph.ca
Hiring Contact Information: 
Dr. Sarah Adamowicz, Associate Professor Director, Bioinformatics Graduate Program 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.
SL work assignments are unionized with CUPE3913 and their terms and conditions of work are covered by the Unit 2 Collective Agreement between the University and CUPE 3913 (email contact: president@cupe3913.on.ca)