Data Analyst (Research Institute)

McGill University Health Centre; Montreal; On-site; CAD 60,000 - 100,000; Full time

Job summary

An established industry player in biomedical research is seeking a Data Analyst to join their innovative team. This role involves participating in cutting-edge translational cancer research, focusing on diagnostic and therapeutic challenges in sarcoma treatment. The successful candidate will build bioinformatic pipelines, analyze high-throughput data, and develop data analyses while collaborating with a dynamic research team. You will have the opportunity to contribute significantly to the development of new diagnostic markers and therapeutic targets, making a real impact in the field of cancer research. If you are passionate about data analysis and want to be part of a transformative research environment, this position is perfect for you.

Qualifications

• Experience in building bioinformatic pipelines and analyzing high-throughput data.
• Strong background in statistical techniques and data management.

Responsibilities

• Analyze high-throughput data and recommend analytical strategies.
• Develop data analyses and visualize results for publications.

Skills

Bioinformatics

Statistical Analysis

Data Visualization

Next-Generation Sequencing

Microarray Analysis

Programming (Python/R)

Education

Bachelor's Degree in Data Science or related field

Master's Degree in Bioinformatics or related field

Tools

R

Python

Bioconductor

Job description

RESEARCH INSTITUTE OF THE MUHC

The Research Institute of the McGill University Health Centre (RI-MUHC) is a world-renowned biomedical and hospital research centre located in Montreal, Quebec. It is the research arm of the McGill University Health Centre (MUHC), affiliated with the Faculty of Medicine at McGill University. The RI-MUHC receives support from the Fonds de recherche du Québec - Santé (FRQS).

Position summary

Department / Research Program: Research Institute of the McGill University Health Centre (RI-MUHC) / Cancer Research Program

Laboratory of Dr. Joanna Przybyl, an early-career Principal Investigator of the Cancer Research Program, is seeking a Data Analyst to participate in translational cancer research. The research focuses on diagnostic and therapeutic challenges in sarcoma treatment, developing liquid biopsy assays, and applying multi-omic high-throughput methods to discover new diagnostic markers and therapeutic targets.

The incumbent will build bioinformatic pipelines, analyze high-throughput data, interpret results using statistical techniques, develop data analyses, acquire data from primary or secondary sources, and maintain databases.

General Duties

The selected candidate will be responsible for analyzing various high-throughput data (next-generation sequencing, microarray):

1. Participate in designing studies and recommending analytical strategies
2. Conduct literature reviews to learn about standard data analysis methods
3. Clean datasets, code, and manage data
4. Write scripts, perform analyses, and visualize data
5. Resolve data analysis problems
6. Troubleshoot and adapt published methodologies
7. Prepare data for projects and create figures for publications and presentations
8. Supervise and train trainees in quantitative research
9. Work on research protocols and grant applications for funding and ethics approval
10. Present work at internal, national, and international meetings
11. Perform any other related tasks as assigned by the supervisor