Aravindhan Ganesan
3 months ago
Postdoctoral Researcher in AI-Driven Molecular Biosciences and Drug Discovery Wilfrid Laurier University in Canada
Degree Level
Postdoc
Field of study
Computer Science
Funding
The position is funded through a MITACS internship in collaboration with a Canadian biotech startup. Specific stipend amount and tuition coverage are not mentioned.
Deadline
Expired
Country
Canada
University
Wilfrid Laurier University

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Where to contact
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About this position
Wilfrid Laurier University is seeking a Postdoctoral Researcher to join ArGan's lab, led by Assistant Professor Aravindhan Ganesan, in the field of AI-driven molecular biosciences and drug discovery. This opportunity is ideal for scientists passionate about computational method development, artificial intelligence, and molecular drug discovery. The successful candidate will work closely with a Canadian biotech startup through a funded MITACS internship and collaborate with interdisciplinary research teams at the University of Waterloo. Research activities will focus on developing and applying advanced computational methods, machine learning and deep learning models, and biophysical simulations to advance therapeutic target characterization and small-molecule design. Applicants should have a PhD in Biochemistry or a related discipline (within 5 years), strong computational programming skills, and experience in ML/deep learning for small-molecule discovery. Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn is required, and experience with molecular docking, MD simulations, QSAR, or cheminformatics is an asset. The position is funded through a MITACS internship, though specific stipend details are not provided. The lab encourages applicants from diverse backgrounds. To apply, submit your cover letter, CV, key publications, research contribution statement, and referee contacts to Dr. Aravindhan Ganesan at [email protected].
Funding details
The position is funded through a MITACS internship in collaboration with a Canadian biotech startup. Specific stipend amount and tuition coverage are not mentioned.
What's required
Applicants must have a PhD in Biochemistry or a related discipline obtained within the last 5 years. Required qualifications include demonstrated computational programming experience, proven experience in machine learning or deep learning model development for small-molecule discovery, and a strong background in computational chemistry, structural biology, and/or biophysical modeling. Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn is expected. Experience with molecular docking, molecular dynamics simulations, QSAR, or cheminformatics is considered an asset.
How to apply
Submit your cover letter, CV, key publications, research contribution statement, and referee contacts to Dr. Aravindhan Ganesan at [email protected].
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