University of Ottawa
jobsincanada.one
Location where work is to be performed:
Main Campus
Session:
2025 Fall Semester jobsincanada.one Trimestre d’automne
Faculty:
Faculté des sciences / Faculty of Science
Unit:
Department of Chemistry and Biomolecular Sciences, Students & Casuals
Job Classification:
Research Assistant (CUPE)
Posting Type:
Fonds externes de recherche / Research External Funds
Course Title:
Reseach Assitant in Laboratory
Course Code:
CHMXXXX
Section:
Supervisor name (if known):
Francesco Gentile
Date Posted:
July 09, 2025
Applications must be received BEFORE:
August 01, 2025
Description of tasks (hours):
Unless specified below, specific allocation of hours to various tasks should be articulated in a description of work negotiated and signed by you and the supervising professor prior to the commencement of work.
Recherche / Research:130
Préparation / Preparation:0
Contact avec étudiants / Contact with Students:0
Correction – Notation / Grading:0
Surveillance / Proctoring:0
Formation / Training:0
Autre / Other:0
Number of positions:
4
Expected Enrolment:
0
Work Start Date:
September 01, 2025
Work End Date:
December 31, 2025
Total Work Hours:
130
Language of Work:
Anglais jobsincanada.one English
Graduate Hourly Rate:
50.25
Undergraduate Hourly Rate:
31.89
Requirements and Nature of Work:
Nature of Work
Performing research in computational chemistry and drug discovery, combining physics-based simulations methods with deep learning. The candidate is expected to develop his/her own methodologies and apply those in prospective projects in cancer and neurological diseases, as well as writing papers fro submission to peer review journals.
Minimum QualificationsCandidates must have a BSc or MSc in Chemistry/Biochemistry. They should either have taken one course in quantum chemistry or statistical mechanics, one in computational chemistry, and one in AI for chemistry or biology with a minimum grade of A- at the undergraduate/graduate level, OR demonstrate hands-on experience in computational chemistry with at least one first author peer-reviewed publication. Candidates must also demonstrate programming proficiency with Python and Bash through a take-home assignment, and have experience with at least three of the following programs: Gromacs, NAMD, Amber, Autodock, Vina, OpenEye suite. Experience with ML frameworks (Pytorch or Tensorflow) is beneficial but not mandatory.
Additional Information and/or Comments:
All University of Ottawa employees are required under provincial law to successfully complete all mandatory legislated training offered by the University. The list of training requirements may be modified by provincial law. If you are invited to continue the selection process, please notify us of any particular adaptive measures you might require. We may consult with the Health and Wellness sector of Human Resources, if needed. Any information you send us will be handled respectfully and in complete confidence.
The hiring process will be governed by the current CUPE 2626 collective agreement; you can click here to find out more.
The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact the academic unit to communicate the accommodation need.
Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 – Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.
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