Data Analyst (Research Institute)

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

Job summary

An innovative research institute is seeking a Data Analyst to support cutting-edge translational cancer research. This role involves building bioinformatic pipelines, analyzing high-throughput data, and interpreting results to aid in the development of novel diagnostic and therapeutic approaches for sarcoma patients. The successful candidate will collaborate with a dynamic team, contribute to designing studies, and present findings at various scientific meetings. Join a forward-thinking environment where your expertise will help shape the future of cancer treatment and improve patient outcomes.

Qualifications

• Experience with high-throughput data analysis and bioinformatics pipelines.
• Proficiency in statistical techniques and data visualization.

Responsibilities

• Design studies and recommend analytical strategies for cancer research.
• Analyze high-throughput data and prepare figures for publications.

Skills

Data Analysis

Statistical Techniques

Bioinformatics

Next Generation Sequencing

Data Visualization

Education

Bachelor's Degree in a relevant field

Master's Degree in Data Science or related field

Tools

R

Python

Statistical Software

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, the Institute is the research arm of the McGill University Health Centre (MUHC) affiliated with the Faculty of Medicine at McGill University. The RI-MUHC is supported in part by 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. Research program of Dr. Przybyl aims to resolve diagnostic and therapeutic challenges in the treatment of patients with sarcoma. More specifically, laboratory of Dr. Przybyl develops novel clinically applicable liquid biopsy (circulating tumor DNA and extracellular vesicles) assays for patients with sarcoma. The group of Dr. Przybyl also applies multi-omic (genomic, transcriptomic, proteomic and methylome) high-throughput methods to discover new diagnostic markers and therapeutic targets in sarcomas.

The incumbent will build bioinformatic pipelines, analyze the high-throughput data and interpret the results using statistical techniques. The selected candidate will be developing and implementing data analyses, acquiring data from primary or secondary data sources, and maintaining databases.

General Duties
The selected candidate will have the following responsibilities analyzing a variety of high-throughput data (next generation sequencing data, microarray data):

1. Participates in designing studies and recommending analytical strategies,
2. Performs literature review to learn about gold standard data analysis methods,
3. Cleans datasets, codes, and manages data,
4. Writes scripts, runs analyses, and visualizes data,
5. Solves problems regarding data analysis,
6. Troubleshoots and adapts published methodologies,
7. Prepares data for a variety of projects, and creates figures for papers, posters, and more,
8. Supervises and trains several trainees in their quantitative research projects,
9. Works on research protocols, and grants to be submitted to federal / provincial / other funders and ethics committees,
10. Presents their work at internal and potentially local, national, and international meetings,
11. Accomplishes any other related tasks as required by the immediate supervisor.