Bioinformatics Jobs

AI Research Scientist
Geneseeq Technology Inc. —Toronto, ON
- $80,000–$95,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Research
- Disability insurance
- Dental care
Quick apply
BioInformatics Research Officer, College of Medicine
University of Saskatchewan —Saskatoon, SK
- $87,266–$145,353 a year
- 8 hour shift
- Doctoral degree
- Data analysis skills
- Research
8d
bioinformatician
Cardiai Inc —Calgary, AB
- $44 an hour
- Full-time
- English
- Bachelor's
Proteomics and Bioinformatics Scientist
Centre universitaire de santé McGill - Institut de Recherche —Montréal, QC
- $63,954.80–$118,718.60 a year
- Temporary
- Doctoral degree
- Data analysis skills
- English
- Designated paid holidays
- Employee assistance program
Quick apply
Research Data Scientist
Freshr Technologies —Dartmouth, NS
- $75,000–$100,000 a year
- Full-time
- Doctoral degree
- Engineering
- Master's degree
- Wellness program
- Mileage reimbursement
Quick apply
14d
Scientist - Virology
University of Guelph —Guelph, ON
- Temporary
- Laboratory experience
- Master's degree
- Analysis skills
9d
Post Doctoral Fellow, Bioinformatics - Genome Sciences Centre - Vancouver
BC Cancer —Vancouver, BC
- $70,000–$75,000 a year
- Temporary
- Doctoral degree
- Computer Science
- Data analysis skills
Programmer/Bioinformatician
Centre universitaire de santé McGill - Institut de Recherche —Montréal, QC
- $50,960.00–$94,658.20 a year
- Temporary
- Bilingual
- Computer science
- Doctoral degree
- Designated paid holidays
- Employee assistance program
Quick apply
Pharmaceutical Bioinformatician
Amaris Consulting —Toronto, ON
- Doctoral degree
- Master's degree
- Databases
Pharmaceutical - Computational Biologist
Amaris Consulting —Toronto, ON
- Doctoral degree
- Data analysis skills
- Master's degree
Scientist – Digital Discovery: Biological Data Systems & Machine Learning
Amgen —Burnaby, BC
- $109,254.75–$147,815.00 a year
- Doctoral degree
- Laboratory experience
- Master's degree
Machine Learning Engineer/Scientist
UBC Faculty of Forestry —Vancouver, BC
- $6,251–$8,986 a month
- Full-time
- Engineering
- AWS
- Bachelor's
1d
Scientist, R&D Proteomics
CellCarta —Montréal, QC
- Full-time
- Doctoral degree
- Master's degree
- Presentation skills
- Employee assistance program
14d
Machine Learning Engineer/Scientist
University of British Columbia —Vancouver, BC
- $6,251–$8,986 a month
- Full-time
- Engineering
- AWS
- Bachelor's
1d
Research Assistant 2
McGill University —Montréal, QC
- $32.15 an hour
- Full-time
- Bilingual
- Computer science
- Computer Science
7d
Freelance Data Scientist, ad hoc
Klick Health —Toronto, ON
- $40–$45 an hour
- Contract
- Remote
- Azure
- Data analysis skills
- Master's degree
Quick apply
9d
Assistant Professor of Bioinformatics
University of Guelph —Guelph, ON
- Doctoral degree
- Teaching
Statistical Programmer I
Everest Clinical Research —Markham, ON
- $45,000–$55,000 a year
- Hybrid work
- Doctoral degree
- Computer Science
- Data analysis skills
- Disability insurance
- Dental care
Quick apply
Research Associate-II Hallam Lab
University of British Columbia —Vancouver, BC
- $80,000–$100,000 a year
- Full-time
- Doctoral degree
- Laboratory experience
- Administrative experience
Scientist, Genetics & Genome Biology
SickKids —Toronto, ON
- $140,000–$160,000 a year
- Medicine
- Doctoral degree

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AI Research Scientist

Geneseeq Technology Inc.
Toronto, ON

Quick apply

Job details

Permanent | Full-time
$80,000–$95,000 a year

Qualifications

TensorFlow
Doctoral degree
Computer Science
PyTorch
R
Mathematics
Research
Machine learning
Physics
Information processing
Model evaluation
Communication skills
Python

Full job description

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

Quick apply

Refine Your Search

AI Research Scientist

BioInformatics Research Officer, College of Medicine

bioinformatician

Proteomics and Bioinformatics Scientist

Research Data Scientist

Scientist - Virology

Post Doctoral Fellow, Bioinformatics - Genome Sciences Centre - Vancouver

Programmer/Bioinformatician

Pharmaceutical Bioinformatician

Pharmaceutical - Computational Biologist

Scientist – Digital Discovery: Biological Data Systems & Machine Learning

Machine Learning Engineer/Scientist

Scientist, R&D Proteomics

Machine Learning Engineer/Scientist

Research Assistant 2

Freelance Data Scientist, ad hoc

Assistant Professor of Bioinformatics

Statistical Programmer I

Research Associate-II Hallam Lab

Scientist, Genetics & Genome Biology

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