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 a cutting-edge cancer research program. This role involves building bioinformatic pipelines and analyzing high-throughput data to uncover new diagnostic markers and therapeutic targets for sarcoma patients. You will collaborate closely with a dynamic team, utilizing advanced statistical techniques and contributing to impactful research. If you are passionate about translating data into meaningful insights and thrive in a collaborative environment, this opportunity is perfect for you. Join a team that values innovation and is dedicated to advancing cancer research.

Qualifications

• Experience in data analysis and bioinformatics is essential.
• Familiarity with high-throughput data and statistical techniques is required.

Responsibilities

• Analyze high-throughput data and interpret results using statistical methods.
• Design studies and recommend analytical strategies for cancer research.

Skills

Data Analysis

Statistical Techniques

Bioinformatics

Next Generation Sequencing

Microarray Data Analysis

Problem Solving

Data Management

Literature Review

Education

Bachelor's Degree in a relevant field

Master's Degree in a relevant 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. The research program of Dr. Przybyl aims to resolve diagnostic and therapeutic challenges in the treatment of patients with sarcoma. More specifically, the 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 high-throughput data, and interpret the results using statistical techniques. The selected candidate will develop and implement data analyses, acquire data from primary or secondary data sources, and maintain 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.