Назад
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13 дней назад

Associate Scientist – Digital Discovery: Antibody Bioinformatics

92 476 - 125 115CAD
Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Associate Scientist – Digital Discovery: Antibody Bioinformatics (biotech, BCR-Seq, R/Python): Running antibody discovery workflows and analyzing BCR repertoire, NGS, single-cell, protein, and related biological datasets with an accent on data quality, curation, and reproducible analysis. Focus on developing analytical tools, integrating experimental metadata, and connecting wet-lab workflows with downstream computational discovery decisions.

Location: Burnaby, Canada

Salary: CAD 92,476.60–125,115.40

Company

hirify.global is a biotechnology company developing medicines for serious illnesses across oncology, inflammation, general medicine, rare disease, and obesity-related conditions.

What you will do

  • Run antibody discovery computational workflows, assess sequencing and data quality, and analyze antibody repertoires and candidate sequences.
  • Analyze BCR repertoire, NGS, single-cell, protein, and related antibody discovery datasets.
  • Develop R and/or Python scripts, analytical tools, reports, and visualizations for downstream BCR-Seq analysis.
  • Organize, curate, and integrate BCR-Seq, antibody screening, experimental data, and metadata.
  • Work with wet-lab scientists to improve data capture, traceability, quality, and experimental-to-computational handoffs.
  • Communicate analytical findings through visualizations, scientific summaries, and collaborative problem-solving.

Requirements

  • Master’s degree with at least 1 year of relevant experience, or Bachelor’s degree with at least 3 years of relevant experience, in biological sciences, biochemistry, molecular biology, immunology, bioinformatics, computational biology, or a related field.
  • Hands-on experimental experience in molecular biology, immunology, biologics or antibody discovery, genomics, NGS, protein characterization, or a related discipline.
  • Training or experience in bioinformatics, computational biology, scientific informatics, or biological data analysis.
  • Working knowledge of R and/or Python for biological data analysis, visualization, and scripting.
  • Experience with complex experimental datasets, metadata, data curation, integration, quality control, and documentation.
  • Strong communication, organization, and collaboration skills across experimental and computational disciplines.

Nice to have

  • Experience with SQL, NGS, immune repertoire, single-cell, flow cytometry, or other high-dimensional biological datasets.
  • Familiarity with Cell Ranger, Seurat, Scanpy, FlowJo, Bioconductor, or comparable platforms.
  • Familiarity with Linux and command-line environments, reproducible analysis, cloud or HPC environments, Benchling, ELNs, or LIMS.

Culture & Benefits

  • Collaborative, innovative, and science-based working environment.
  • Competitive benefits and comprehensive total rewards aligned with local industry standards.
  • Support for professional growth and personal well-being.
  • Inclusive workplace focused on advancing science and improving patients’ quality of life.

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