20 meilleures offres (bioinformatics scientist, canada) (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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Proteomics and Bioinformatics Scientist
Centre universitaire de santé McGill - Institut de Recherche —Montréal, QC
- De 63 954,80 $ à 118 718,60 $ par an
- Temporaire
- Doctorat
- Analyse de données
- Anglais
- Jours fériés payés
- Programme d'Aide aux Employés
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Research Data Scientist
Freshr Technologies —Dartmouth, NS
- De 75 000 $ à 100 000 $ par an
- Temps plein
- Doctorat
- Ingénierie
- Maîtrise
- Programmes de Bien-être
- Indemnité kilométrique
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BioInformatics Research Officer, College of Medicine
University of Saskatchewan —Saskatoon, SK
- De 87 266 $ à 145 353 $ par an
- 8 Heures
- Doctorat
- Analyse de données
- Recherche
il y a 10 jours
Machine Learning Engineer/Scientist
University of British Columbia —Vancouver, BC
- De 6 251 $ à 8 986 $ par mois
- Temps plein
- Ingénierie
- AWS
- Baccalauréat
il y a 3 jours
Machine Learning Engineer/Scientist
UBC Faculty of Forestry —Vancouver, BC
- De 6 251 $ à 8 986 $ par mois
- Temps plein
- Ingénierie
- AWS
- Baccalauréat
il y a 3 jours
Scientist - Virology
University of Guelph —Guelph, ON
- Temporaire
- Expérience en laboratoire
- Maîtrise
- Esprit d'analyse
il y a 12 jours
Scientist, Genetics & Genome Biology
SickKids —Toronto, ON
- De 140 000 $ à 160 000 $ par an
- Médecine
- Doctorat
Data Scientist III - Temporary
Veracyte —Vancouver, BC
- De 95 000 $ à 119 000 $ par an
- Télétravail
- Azure
- Doctorat
- SQL
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Scientist, R&D Proteomics
CellCarta —Montréal, QC
- Temps plein
- Doctorat
- Maîtrise
- Capacités de présentation
- Programme d'Aide aux Employés
Pharmaceutical Bioinformatician
Amaris Consulting —Toronto, ON
- Doctorat
- Maîtrise
- Bases de données
Sr. Scientist - Systems Immunology
Amgen —Burnaby, BC
- De 115 503,10 $ à 156 269,00 $ par an
- Doctorat
- Maîtrise
- Baccalauréat
Scientist – Digital Discovery: Biological Data Systems & Machine Learning
Amgen —Burnaby, BC
- De 109 254,75 $ à 147 815,00 $ par an
- Doctorat
- Expérience en laboratoire
- Maîtrise
Pharmaceutical - Computational Biologist
Amaris Consulting —Toronto, ON
- Doctorat
- Analyse de données
- Maîtrise
Freelance Data Scientist, ad hoc
Klick Health —Toronto, ON
- De 40 $ à 45 $ de l’heure
- Contrat
- Télétravail
- Azure
- Analyse de données
- Maîtrise
Postuler rapidement
il y a 11 jours
Senior Scientist - Target Discovery & Validation – Induced Proximity Platform (IPP)
Amgen —Burnaby, BC
- De 115 503 $ à 156 269 $ par an
- Doctorat
- Maîtrise
- Sens de l'organisation
Assistant Professor of Bioinformatics
University of Guelph —Guelph, ON
- Doctorat
- Enseignement
Research Assistant (SRI) - Physical Sciences - Regular Full-time 2026-16989
Sunnybrook Health Sciences Centre —Toronto, ON
- Temps plein
- Informatique
- Ingénierie
- Anglais
Postuler rapidement
Senior MLOps Engineer
Deep Genomics —Toronto, ON
- De 175 000 $ à 200 000 $ par an
- Temps plein
- Travail hybride
- Azure
- AWS
- Apprentissage automatique
- Assurance Dentaire
- Congés payés
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Postdoctoral Research Fellow, Computational Biology, Roth Lab
Roth Lab —Vancouver, BC
- Temporaire
- Doctorat
- Informatique
- Analyse de données

Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : bioinformatics scientist (canada)

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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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bioinformatics scientist emplois - canada

AI Research Scientist

Proteomics and Bioinformatics Scientist

Research Data Scientist

BioInformatics Research Officer, College of Medicine

Machine Learning Engineer/Scientist

Machine Learning Engineer/Scientist

Scientist - Virology

Scientist, Genetics & Genome Biology

Data Scientist III - Temporary

Scientist, R&D Proteomics

Pharmaceutical Bioinformatician

Sr. Scientist - Systems Immunology

Scientist – Digital Discovery: Biological Data Systems & Machine Learning

Pharmaceutical - Computational Biologist

Freelance Data Scientist, ad hoc

Senior Scientist - Target Discovery & Validation – Induced Proximity Platform (IPP)

Assistant Professor of Bioinformatics

Research Assistant (SRI) - Physical Sciences - Regular Full-time 2026-16989

Senior MLOps Engineer

Postdoctoral Research Fellow, Computational Biology, Roth Lab

Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : bioinformatics scientist (canada)

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