Research Assistant, Medical Genetics

University of Calgary; Calgary; On-site; CAD 30,000 - 60,000; Full time

Job summary

Join a dynamic and innovative research team at an esteemed institution as a Research Assistant in the Department of Medical Genetics. This exciting opportunity involves providing bioinformatics support to analyze biological sequencing data, collaborating with researchers, and developing cutting-edge bioinformatics pipelines. You will play a crucial role in integrating computational analysis with experimental data, contributing to groundbreaking genomic studies. If you are passionate about bioinformatics and eager to advance your career in a collaborative environment, this position offers a fantastic chance to make a significant impact in the field.

Qualifications

• Degree in bioinformatics, computational biology, or related field required.
• Strong skills in statistical analysis and R programming essential.

Responsibilities

• Analyze next-generation sequencing data sets including RNA-seq.
• Develop bioinformatics pipelines for data processing and analysis.

Skills

Statistical Analysis

Problem-solving

Communication Skills

Attention to Detail

Education

Bachelor's degree in Bioinformatics

Master's degree in Computational Biology

Ph.D. in a related field

Tools

R Programming

Linux-based Servers

High Performance Computing Clusters

Bioinformatics Tools and Databases

Job description

Description

The Department of Medical Genetics in the Cumming School of Medicine invites applications for a Research Assistant. This Full-time Fixed Term position is for approximately 12 months (based on length of grant funding), with the possibility of extension.

The Research Assistant position provides bioinformatics support to the Principal Investigator (PI) and other researchers who use computational tools and techniques to analyze biological sequencing data.

Reporting to the Principal Investigator.

Summary of Key Responsibilities (job functions include but are not limited to):

• Perform analysis of various next-generation sequencing data sets including bulk RNA-seq and single-cell genomic studies
• Developing and implementing bioinformatics pipelines for data processing, quality control, and analysis
• Collaborating with other lab members to integrate bioinformatics analysis with wet lab experiments
• Collecting and organizing biological data from various sources such as databases, literature, and experiments
• Creating and maintaining databases for storing and managing biological data
• Interpreting and visualizing results and presenting findings to the research team
• Collaboration with other researchers, scientists, and technical staff

Qualifications / Requirements:

• Bachelor's, Master's or Ph.D. degree in bioinformatics, computational biology, computer science, or a related field
• Strong statistical analysis and computational skills, including basic proficiency using Linux-based servers and high level of proficiency with R programming language
• Proficiency working with high performance computing clusters
• Experience in analyzing genomic and transcriptomic data, such as RNA-seq, ChIP-seq, ATAC-seq and/or single-cell sequencing
• Experience organizing and documenting code
• Familiarity with bioinformatics tools and databases
• Excellent problem-solving skills, attention to detail, and ability to work independently and as part of a team
• Strong written and verbal communication skills in English

Application Deadline: February 20, 2025

We would like to thank all applicants in advance for submitting their resumes. Please note, only those candidates chosen to continue on through the selection process will be contacted.