Data Analyst (Research Institute)

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

Job summary

An established industry player is seeking a passionate Data Analyst to join a dynamic research team focused on cancer research. In this role, you'll dive into the world of translational cancer research, analyzing high-throughput data to uncover new diagnostic markers and therapeutic targets for patients with sarcoma. You'll be involved in designing studies, managing datasets, and presenting findings at various meetings. If you are eager to contribute to groundbreaking research and thrive in a collaborative environment, this opportunity is perfect for you!

Qualifications

• Experience in analyzing high-throughput data such as genomic and proteomic data.
• Proficiency in data cleaning, coding, and management.

Responsibilities

• Analyze high-throughput data and recommend analytical strategies.
• Supervise and train trainees in quantitative research projects.

Skills

Data Analysis

Next Generation Sequencing

Microarray Data Analysis

Statistical Analysis

Problem Solving

Data Visualization

Education

Bachelor's degree in a related field

Master's degree in Data Science 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, 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

The 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 program of Dr. Przybyl aims to resolve diagnostic and therapeutic challenges in the treatment of patients with sarcoma. More specifically, the laboratory develops novel clinically applicable liquid biopsy (circulating tumor DNA and extracellular vesicles) assays for patients with sarcoma. The group also applies multi-omic (genomic, transcriptomic, proteomic and methylome) high-throughput methods to discover new diagnostic markers and therapeutic targets in sarcomas.

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.