Data Analyst (Research Institute)

Do you want to work for a world-renowned research institute that pushes the boundaries of biomedical science and health research? Right here in Montreal! At the Research Institute of the McGill University Health Centre (RI-MUHC), you can be part of an organization focused on scientific discovery and innovation in patient-centered medicine. Join us today and make a difference!

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, and 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):

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

Website of the organization

https://rimuhc.ca/en

Education / Experience

Education: Bachelor's Degree

Field of Study: Computer science, (bio)statistics, biomedical fields or similar

Other Education Considered An Asset For This Position

Master’s Degree in (bio)statistics, Computer science, Biomedical fields or similar

Work Experience: 2+ years

Professional Membership: ☐ Yes ☒ No

Required Skills

• Must have demonstrable experience in programming in R, Python, and Unix/bash,
• Proficiency in study design/development, and data models,
• Experience analyzing high-throughput genomic, epigenomic and transcriptomic data (e.g., microarray data, next generation sequencing data) supported by published peer-reviewed studies,
• Adept at queries, writing reports, and making presentations,
• Attention to detail and accuracy,
• Good analytical and logic skills,
• Autonomy (with minimum supervision after appropriate training), initiative, creativity, curiosity,
• Knowledge of Microsoft Office (Word, Excel, Power Point and Outlook).
  
  

To be considered, candidates are to provide in ONE COMBINED PDF FILE:

• Cover letter (including description of competencies, experience, productivity and specific interest in this position),
• CV,
• Contact information for 2 references.
  
  

Additional information

Status: Temporary, full time (35-hour workweek)

Pay Scale: Commensurate with education and work experience. $48,503.00 - $90,090.00.

Work Shift: Monday to Friday 8:30am to 4:30pm

Work Site: GLEN Site, 1001 boul. Decarie

• To be considered, candidates are to provide in a single combined PDF:***
• Cover letter (including description of competencies, experience, productivity and specific interest in this position),
• CV,
• Contact information for 2 references.
  
  

Why work with us?

***FOR FULL-TIME ***

• 4-week vacation, 5th week after 5 years,
• Bank of 12 paid days (personal days and days for sickness or family obligations),
• 13 paid statutory holidays,
• Modular group insurance plan (including gender affirmation coverage),
• Telemedicine,
• RREGOP (defined benefit government pension plan),
• Training and professional development opportunities,
• Child Care Centres,
• Corporate Discounts (OPUS + Perkopolis),
• Competitive monthly parking rate,
• Employee Assistance Program,
• Recognition Program,
• Flex work options and much more!
  
  

***FOR PART-TIME (15 to 34 HOURS)***

• 6 days of paid sick leave per year, which includes a maximum of 3 personal day,
• Vacation calculated on a pro-rata basis based on a percentage of your salary,
• Modular group insurance plan (including gender affirmation coverage),
• RREGOP government pension plan (defined benefit plan),
• 5.3% of your gross earnings will be added to your paycheque in lieu of statutory holidays.
  
  

https://rimuhc.ca/careers

To learn more about our benefits, please visit http://rimuhc.ca/en/compensation-and-benefits

THIS IS NOT A HOSPITAL POSITION.

Equal Opportunity Employment Program

The Research Institute of the McGill University Health Centre hires on the basis of merit and is strongly committed to equity, diversity and inclusion within its community. We welcome applications from all qualified candidates who self-identify as members of racialized groups/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and 2SLGBTQIA+ persons. We also welcome candidates with the skills and knowledge to productively engage with diverse communities. Persons with disabilities who anticipate needing accommodations for any part of the application process may confidentially contact, [email protected]