Research Assistant 2

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Position Summary:

• Work closely with advanced mass spectrometry data, specifically focusing on matrix-assisted laser desorption (MALDI) techniques.

• Develop and implement an alignment algorithm for mass spectrometry data preprocessing to correct shifts in m/z values across different experiments.

• Apply the developed algorithm to additional datasets, involving data preprocessing, alignment execution, and results evaluation.

• Assess the algorithm’s performance using metrics like alignment accuracy, precision, and recall.

• Collaborate in improving the research paper by providing evidence of the algorithm’s effectiveness, discussing its limitations, and revising the manuscript as a co-author.

• Engage with mass spectrometry and statistical modeling tools, utilizing Python libraries such as PyTorch, Pandas, NumPy, and SciPy.

Qualifications:

• Master’s degree in a relevant field (e.g., Biostatistics, Statistics, Computer Science, or related).

• Proficiency in Python and related libraries (PyTorch, Pandas, NumPy, SciPy).

• Experience in statistical modeling, statistical learning, and working with mass spectrometry data.

• Academic writing and communication skills with a track record of presenting research at international venues.

Knowledge of French and English: McGill University is an English-language university where day to day duties may require English communication both verbally and in writing. The level of English required for this position has been assessed at a level #4 on a scale of 0-4.

Hourly Salary:

$30.75

Hours per Week:

12 (Part time)

Location:

McGill College 2001

Supervisor:

Assistant Professor

Position Start Date:

2024-10-24

Position End Date:

2025-07-30

Deadline to Apply:

2024-10-20

This position is covered by the Association of McGill University Research Employees (AMURE) collective agreement.

McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, accessibilityrequest.hr@mcgill.ca.