Data Scientist

2 weeks ago

North York, Canada Calinfonet Inc Full time

**Responsibilities**:

- Establish and develop infrastructure for infectious disease surveillance and real-time 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 late-stage 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 AI-driven approach.

Basic Qualifications:

- 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 structure-function 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 decision-making.
- Proficiency in constructing, building, and validating machine learning models.

Preferred Qualifications:

- PhD or Master's degree in computer science, computer engineering, computational biology, or bioinformatics, with substantial post-doc experience (or Master's with extensive related experience) in structural-based drug design and drug discovery.
- Strong problem-solving and analytical abilities, coupled with a talent for proposing creative and efficient solutions.
- Independent, self-motivated, and innovative mindset, with the capacity to excel in a fast-paced, goal-oriented 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.

**Job Type**: Fixed term contract
Contract length: 24 months

Pay: $60.00-$87.02 per hour

Expected hours: 40 per week

Schedule:

- Monday to Friday

**Experience**:

- Machine learning: 1 year (preferred)

Work Location: In person

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