Postdoctoral Researcher (Computational Chemistry)

Union: Non-Union
Number of vacancies: 1
Site: Krembil Research Institute
Department: Medicinal Chemistry
Reports to: Principal Investigator
Hours: 37.5 hours per week
Shifts: Monday to Friday
Status: Temporary Full-time (2 years)
Closing Date: December 15 2025

Position Summary
The laboratory of Dr. Donald Weaver Krembil Research Institute (University Health Network) and Department of Chemistry (University of Toronto) invites applications for one Postdoctoral Researcher Position in Computational/Theoretical Chemistry. Work will involve applications of molecular modelling methods (molecular dynamics/molecular mechanics/quantum mechanics calculations) to understanding neurochemical processes developing in silico disease models and participating in a multi-disciplinary group focused on drug design for neurodegenerative disease.

Applicants should hold a PhD in Computational/Theoretical Chemistry (must be obtained within the previous 5 years) and have a strong background in the development and use of molecular modelling and electronic structure theory. The successful candidate will work in the Krembil Research Institute which is part of the Toronto Western Hospital. We expect strong commitment good communication skills and ability to work in a multidisciplinary environment with highly qualified professionals from international backgrounds. 05

Major topics of research include:

• Molecular dynamics simulations
• Molecular mechanics optimizations/protein modelling
• DFT and molecular orbital ab initio calculations
• Applications to neurochemistry small molecule structure and hydration/solvation

Duties

• Performing molecular modelling simulations
• Performing molecular dynamics simulations
• Performing molecular mechanics calculations
• Performing molecular quantum mechanics calculations
• Computational protein modelling
• Computer-aided drug design

Qualifications :

• PhD in computational/theoretical chemistry must be obtained within the previous five (5) years
• Strong background in molecular modelling
• Willingness to work in multidisciplinary group focused on drug discovery

Additional Information :

Why join UHN
In addition to working alongside some of the most talented and inspiring healthcare professionals in the world UHN offers a wide range of benefits programs and perks. It is the comprehensiveness of these offerings that makes it a differentiating factor allowing you to find value where it matters most to you now and throughout your career at UHN.

• Competitive offer packages
• Government organization and a member of the Healthcare of Ontario Pension Plan (HOOPP access to Transit and UHN shuttle service
• A flexible work environment
• Opportunities for development and promotions within a large organization
• Additional perks (multiple corporate discounts including: travel restaurants parking phone plans auto insurance discounts on-site gyms etc.)

Current UHN employees must have successfully completed their probationary period have a good employee record along with satisfactory attendance in accordance with UHNs attendance management program to be eligible for consideration.

All applications must be submitted before the posting close date.

UHN uses email to communicate with selected candidates. Please ensure you check your email regularly.

Please be advised that a Criminal Record Check may be required of the successful candidate. Should it be determined that any information provided by a candidate be misleading inaccurate or incorrect UHN reserves the right to discontinue with the consideration of their application.

UHN is an equal opportunity employer committed to an inclusive recruitment process and workplace. Requests for accommodation can be made at any stage of the recruitment process. Applicants need to make their requirements known.

We thank all applicants for their interest however only those selected for further consideration will be contacted.

Remote Work :

No

Employment Type :

Contract

Key Skills
Intelligence Community Experience,Python,Spss,Microsoft Word,R,Regression Analysis,Windows,Stata,Microsoft Powerpoint,Research Experience,Data Modeling,Writing Skills
Experience: years
Vacancy: 1