Data Scientist - North York, Canada - Calinfonet Inc

Description

• Establish and develop infrastructure for infectious disease surveillance and realtime tracking systems.
• Devise AI/ML models to forecast the evolution and mutation impacts of circulating human pathogens.
• Formulate computational strategies to identify and offer insights into optimal AI solutions for refining vaccine design.
• Analyze and interpret large biological datasets using machine learning and statistical techniques to uncover patterns, trends, and insights.
• Utilize computational structural biology and deep machine learning models to glean insights and knowledge from complex molecular datasets.
• Collaborate with diverse teams, including molecular biologists, immunologists, bioinformaticians, and software engineers, to strategize and develop AI solutions for target identification, lead selection, and latestage clinical studies.
• Develop advanced computational methodologies in molecular modeling and protein/antibody design.
• Identify pertinent public datasets, methodologies, and strategies to enhance our internal database and address specific disease research requirements.
• Stay abreast of emerging science, technologies, and industry trends to drive innovation and enhancement in vaccine and oncology R&D through an AIdriven approach.

• Bachelor's degree in computer science, computer engineering, computational biology, or bioinformatics.
• Experience in structural biology, encompassing protein structure determination or modeling protein and RNA structures and interactions.
• Familiarity with antibody structurefunction relationships using computational design methodologies.
• Proficiency in at least one major deep learning framework (e.g., PyTorch, TensorFlow).
• Experience employing predictive methods to biological and chemical data for discovery or decisionmaking.
• Proficiency in constructing, building, and validating machine learning models.

• PhD or Master's degree in computer science, computer engineering, computational biology, or bioinformatics, with substantial postdoc experience (or Master's with extensive related experience) in structuralbased drug design and drug discovery.
• Strong problemsolving and analytical abilities, coupled with a talent for proposing creative and efficient solutions.
• Independent, selfmotivated, and innovative mindset, with the capacity to excel in a fastpaced, goaloriented team environment.
• Excellent communication skills to articulate methods and results clearly for collaborative enhancement of analytical approaches with leadership and the informatics team.
• Knowledge of deep sequencing, immune repertoires, and bioinformatic tools/methods.
• Experience in developing or refining vaccine design platforms for infectious diseases, particularly mRNA, viral vectors, and other advanced delivery platforms.
• Interdisciplinary research background, focusing on molecular or cellular profiling technologies for understanding human disease in academic or biopharmaceutical research settings.
• Experience in antibody generation and optimization in an industrial setting.

• Monday to Friday

• Machine learning: 1 year (preferred)