Computational Biologist

2 weeks ago

Vancouver, British Columbia, Canada Imagia Canexia Health Full time
**Computational Biologist**

Permanent full-time position

About the position

This is a full-time employment opportunity based in our Montreal or Vancouver office with the possibility of remote work in hybrid mode.

To be eligible for this position, an applicant must be legally entitled to work in Canada.

What you'll be accountable for:
As a member of our team, you will:

- Evaluate and screen externally developed tools for potential internal adoption.
- Work closely with the laboratory team to develop bioinformatics pipelines and methodologies to detect genetic markers from novel assay developments.
- Provide analysis and interpretation of genomic data.
- Work closely with the software team to integrate the novel pipelines in the ICH Informatics Platform and to optimize the pipelines.
- Evaluate the algorithm performance in commercial and clinical samples.
- Develop, manage, and document genome sequencing data analysis pipelines and other algorithms and statistical models.
- Keep up-to-date with novel methods and algorithms for variant analysis in cancer genome sequencing data.

About you

The person our team is looking to welcome

**Requirements**:

- **Proven track record**: of strong publications that you are ready to show us.
- **Research experience**:Prior experience working in computational biology.
- **NGS**:Experienced in advanced-level genomic and/or next-generation sequencing analysis or methods development.
- **Commendable analytical skills**:Experience in developing and implementing computational biology algorithms. Understanding of computational techniques such as machine learning and deep learning, Bayesian approaches, probabilistic models, and elementary statistics.
- **Attention to detail**:Uncompromisingly meticulous with the execution of analysis.
- **Linux/UNIX**: Experienced in working with command-line interfaces.
- **Coding**:Proficient with Python (desirable) or other coding language.
- **Tech savvy**:Experienced for 3+ years with standard NGS analysis tools such as samtools, alignment software.

**Nice-to-haves**:

- Experience in cancer genomics
- Experience in analysis of Targeted Sequencing Data and/or Whole Genome Sequencing Data
- Experience with GitHub and cloud-based computing such as AWS or Azure

About Us

We believe everyone with cancer should have the same fighting chance to survive and thrive. We work in a rapidly evolving field that attracts smart, talented people who are committed to making a difference for cancer patients. But not everyone has access to the latest advances. People who join us are committed to bringing equity to critical aspects of cancer care. We are a lean and driven team building on this vision from the ground up. You're a self-starter who can pitch in right away by deploying your own expertise to make this shared vision a reality.
- We are an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees._
- _

Biologiste computationnel

Poste permanent à temps plein

À propos du poste

Il s'agit d'une opportunité d'emploi à temps plein basée dans nos bureaux de Montréal ou de Vancouver avec la possibilité de travailler à distance en mode hybride.

Ce dont vous serez responsable:
En tant que membre de notre équipe, vous devrez:

- Évaluer et passer au crible les outils développés à l'externe en vue d'une éventuelle adoption interne.
- Travailler en étroite collaboration avec l'équipe de laboratoire afin de développer des pipelines bioinformatiques et des méthodologies pour détecter des marqueurs génétiques à partir de nouveaux développements de tests.
- Fournir une analyse et une interprétation des données génomiques.
- Travailler en étroite collaboration avec l'équipe logicielle pour intégrer les nouveaux pipelines dans la plateforme informatique de l'ICH et pour optimiser les pipelines.
- Évaluer la performance des algorithmes dans des échantillons commerciaux et cliniques.
- Développer, gérer et documenter les pipelines d'analyse des données de séquençage du génome et d'autres algorithmes et modèles statistiques.
- Se tenir au courant des nouvelles méthodes et des nouveaux algorithmes pour l'analyse des variantes dans les données de séquençage du génome du cancer.

À propos de vous

La personne que notre équipe souhaite accueillir

**Exigences**
- Expérience avérée : de solides publications que vous êtes prêt à nous montrer.
- Expérience de la recherche : Expérience préalable de travail en biologie computationnelle.
- NGS : Expérience dans l'analyse ou le développement de méthodes génomiques et/ou de séquençage de nouvelle génération de niveau avancé.
- Compétences analytiques remarquables : Expérience dans le développement et la mise en œuvre d'algorithmes de biologie computationnelle. Compréhension des techniques computationnelles telles que l'apprentissage automatique et l'apprentissage profond, les approches bayésiennes, les modèl

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