20 meilleures offres (ai scientist, toronto, on) (à pourvoir)

AI Research Scientist
Geneseeq Technology Inc. —Toronto, ON
- De 80 000 $ à 95 000 $ par an
- Temps plein
- Doctorat
- Informatique
- Recherche
- Assurance Invalidité
- Assurance Dentaire
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Data Scientist
Momentum Financial Services Group —Toronto, ON
- De 95 000 $ à 105 000 $ par an
- Travail hybride
- Doctorat
- Informatique
- Ingénierie
- Assurance Dentaire
- Bourses d'Études
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Lead Scientist - Applied ML
Canadian Tire Corporation, Ltd. —Toronto, ON
- De 79 000 $ à 131 000 $ par an
- Temps plein
- SQL
- En présentiel
- Python
- Réductions Tarifaires
- Régimes de participation aux bénéfices
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Senior Data Scientist
MCKESSON —Mississauga, ON
- De 89 700 $ à 149 500 $ par an
- SQL
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- Intelligence artificielle
Data Analytical Specialist/Scientist - Senior
Bevertec —Toronto, ON
- De 70 $ à 75 $ de l’heure
- Travail hybride
- Azure
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Lead Data Scientist - AgenticAI
MCKESSON —Mississauga, ON
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- Azure
- Doctorat
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il y a 7 jours
Senior/Lead Risk Analyst, Payment fraud
Snaplii —Etobicoke, ON
- De 150 000 $ à 250 000 $ par an
- Temps plein
- Bilingue
- Informatique
- Ingénierie
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Sr. Data Specialist
MCKESSON —Mississauga, ON
- De 99 100 $ à 132 100 $ par an
- Azure
- Informatique
- Ingénierie
12 h
Lead, Data Engineer
MCKESSON —Mississauga, ON
- De 122 100 $ à 162 800 $ par an
- Azure
- SQL
- Scriptage
Sr Data Specialist - SCO
MCKESSON —Mississauga, ON
- De 99 100 $ à 132 100 $ par an
- Azure
- Maîtrise
- SQL
il y a 2 jours
Project Manager, Building Restoration
MTE Consultants Inc. —Toronto, ON
- Temps plein
- Ingénierie
- Capacités de présentation
- Baccalauréat
- Programmes de Bien-être
- Indemnité kilométrique
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Principal Data Engineer
Tangerine Bank —Toronto, ON
- Azure
- DevOps
- AWS
il y a 12 jours
Principal Data Scientist (m/f/d)
autoTRADER.ca —Toronto, ON
- De 180 000 $ à 220 000 $ par an
- Informatique
- SQL
- AWS
- Programme d'Aide aux Employés
Senior Business Analyst – Artificial Intelligence (AI, ML)
APPTOZA INC. —Toronto, ON
- De 40 $ à 45 $ de l’heure
- Contrat
- Travail hybride
- Apprentissage automatique
- Intelligence artificielle
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il y a 7 jours
Senior Program Manager - AI, Financial Crimes, Cybersecurity
APPTOZA INC. —Toronto, ON
- De 80 $ à 85 $ de l’heure
- Travail hybride
- Informatique
- PMP
- Ingénierie
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il y a 11 jours
Applied AI Scientist (Hybrid)
Homebase —Toronto, ON
- De 108 000 $ à 130 000 $ par an
- Temps plein
- Travail hybride
- SQL
- Apprentissage automatique
- Intelligence artificielle
- Jours fériés payés
- Assurance Invalidité
AI Engineer/FDE/Data Scientist
Kiln AI —Greater Toronto Area, ON
- De 80 000 $ à 150 000 $ par an
- Temps plein
- Télétravail
- Informatique
- Informatique
- Ingénierie
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il y a 12 jours
Data Scientist, AI Deployment
Braze —Toronto, ON
- De 112 000 $ à 188 000 $ par an
- Travail hybride
- Doctorat
- Informatique
- DevOps
- Assurance Dentaire
- Congés payés
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Consultant, Data Scientist (AI & ML)
Project X —Toronto, ON
- De 96 000 $ à 125 000 $ par an
- Temps plein
- Travail hybride
- Informatique
- Bases de données
- SQL
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Data Scientist
illumin —Toronto, ON
- De 120 000 $ à 140 000 $ par an
- Temps plein
- Travail hybride
- Microsoft Excel
- Informatique
- SQL
- Assurance Invalidité
- Assurance Dentaire
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il y a 3 jours

Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : ai scientist (toronto, on)

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AI Research Scientist

Geneseeq Technology Inc.
Toronto, ON

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Détails du poste

Permanent | Temps plein
De 80 000 $ à 95 000 $ par an

Profil recherché

TensorFlow
Doctorat
Informatique
PyTorch
R
Mathématiques
Recherche
Apprentissage automatique
Physique
Traitement de l'information
Évaluation de modèle
Compétences en communication
Python

Description complète du poste

About Geneseeq

Geneseeq is a health solutions company that specializes in personalized cancer care and aims to provide treatment solutions based on the comprehensive analyses of patients’ genomic profile. The company is translating scientific knowledge into the well-being of the patients. Its mission is to bring precision cancer care to patients through the combination of next-generation sequencing (NGS) and up-to-date cancer knowledge base.

Position Description

We are seeking a highly motivated and skilled AI Research Scientist to join the Department of Research and Development at Geneseeq. The successful candidate will focus on advanced feature engineering and machine learning model development for large-scale sequencing datasets, supporting applications in cancer early detection. This role offers opportunities to work on cutting-edge problems in translational cancer genomics, including low-signal detection, robust modeling under noisy conditions, and adaptive learning from complex biological data.

Responsibilities include:

Develop machine learning, statistical, and computational methods for large-scale genomic sequencing datasets.
Design robust feature engineering, preprocessing, normalization, and dimensionality reduction workflows to support model development and biological interpretation.
Build scalable algorithms for high-dimensional genomic data, including genome-wide features, fragmentomics signals, methylation-associated features, and other sequencing-derived data types.
Develop and evaluate predictive models for cancer genomics applications, including early cancer detection, molecular profiling, treatment response monitoring, and minimal residual disease.
Apply appropriate model validation, benchmarking, and statistical evaluation approaches across research datasets and collaborative studies.
Explore emerging approaches in sequence-based representation learning, foundation models, DNA language models, and other AI-driven methods for genomic data analysis.
Develop custom algorithms and analytical workflows with attention to scalability, interpretability, reproducibility, and potential clinical utility.
Collaborate cross-functionally with bioinformatics, R&D, assay development, software, clinical research, and business teams to support internal and external projects.
Prepare clear technical documentation, data summaries, visualizations, research reports, and presentations.
Conduct literature reviews and contribute to scientific publications, posters, abstracts, grant materials, and technical white papers.
Support ongoing research, product development, validation, and collaborative initiatives as required.
Perform other duties as assigned

Requirements

Ph.D. in Mathematics, Physics, Computer Science, Bioinformatics, Computational Biology, Statistics, or a related quantitative field.
Minimum 3 years of hands-on experience in machine learning, statistical modeling, algorithm development, or computational biology.
Strong understanding of machine learning theory, statistical learning, optimization, model evaluation, and validation.
Proven ability to develop custom algorithms and machine learning models from first principles.
Experience working with large-scale, high-dimensional, complex scientific or biological datasets.
Strong programming skills in Python, R, or similar languages, with experience in scalable data processing and reproducible workflows.
Experience with feature engineering, data preprocessing, normalization, dimensionality reduction, predictive modeling, and model interpretation.
Familiarity with genomics, NGS, cancer genomics, or molecular diagnostics is strongly preferred.
Experience with PyTorch, TensorFlow, JAX, or similar deep learning frameworks is an asset.
Excellent analytical, problem-solving, written, and verbal communication skills.

Only candidate selected for an interview will be contacted. For more information, please visit us at na.geneseeq.com.

Job Types: Full-time, Permanent

Pay: $80,000.00-$95,000.00 per year

Benefits:

Dental care
Disability insurance
Extended health care
Life insurance

Ability to commute/relocate:

Toronto, ON M5G 1E6: reliably commute or plan to relocate before starting work (required)

Education:

Doctoral Degree (required)

Experience:

Machine learning: 3 years (required)

Work Location: In person

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