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Research Scientist - Genetics and Genomics

Job in Kimberley, BC, Canada
Listing for: Placements24
Full Time position
Listed on 2026-09-05
Job specializations:
  • Research/Development
    Research Scientist, Genetics / Genomics, Data Scientist
Salary/Wage Range or Industry Benchmark: 110000 - 150000 CAD Yearly CAD 110000.00 150000.00 YEAR
Job Description & How to Apply Below

About the Role

Our client is seeking a skilled Research Scientist with expertise in Genetics and Genomics to join their innovative team in Kimberley . This role is central to advancing our understanding of genetic factors influencing complex diseases and traits. You will be responsible for designing and conducting genomic studies, analyzing large-scale genetic data, and contributing to the interpretation of results. The hybrid nature of this position allows for a dynamic work environment, combining essential on-site laboratory activities with the flexibility of remote data analysis and collaboration, fostering both scientific rigor and work-life balance.

Key Responsibilities
  • Design and implement genetic and genomic studies, including association studies and sequencing projects.
  • Analyze large-scale genomic datasets using bioinformatics tools and statistical methods.
  • Interpret genetic findings and their implications for disease risk, progression, and treatment.
  • Collaborate with statisticians, bioinformaticians, and clinicians to integrate diverse data types.
  • Prepare manuscripts for publication and present research findings at scientific conferences.
Requirements
  • Ph.D. in Genetics, Genomics, Bioinformatics, or a related field.
  • Minimum of 3 years of post-doctoral or relevant industry experience in genetics and genomics research.
  • Proficiency in genetic analysis software and statistical programming languages (e.g., R, Python).
  • Experience with next-generation sequencing (NGS) data analysis is highly desirable.
  • Strong communication skills and ability to work effectively in a hybrid research setting.
Benefits
  • Competitive salary and comprehensive benefits package.
  • Hybrid work model promoting work-life integration.
  • Opportunities for professional development and skills enhancement.
  • Access to advanced genomic technologies and computational resources.
  • A collaborative and forward-thinking research environment.
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