Senior Bioinformatician - Genomics

Placements24

Durban

Hybrid

ZAR 900,000 - 1,300,000

Full time

2 days ago
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Benefits offered by this job

Salary with bonus
Medical aid
Retirement fund
Annual leave
Hybrid work
Relocation assistance

Job summary

Placements24 is seeking a Senior Bioinformatician with extensive Genomics experience to join their Durban-based R&D team. The role involves analyzing large-scale genomic datasets, building scalable pipelines, and collaborating with molecular biologists and computational scientists in a hybrid work setting.

The candidate will work on variant analysis, method development, and data interpretation, contributing to cutting-edge genomic research and publications in a vibrant coastal city.

Qualifications

  • Ph.D. or MS in Bioinformatics, Genomics, CS or related field.
  • 4+ years hands-on bioinformatics experience with genomics focus.
  • Proficiency in Python, R or Perl and command-line tools.
  • Strong knowledge of statistical genetics and variant analysis.

Responsibilities

  • Develop, implement, and maintain scalable bioinformatics pipelines for the analysis of next-generation sequencing (NGS) data.
  • Perform variant calling, annotation, and association studies using large genomic datasets.
  • Collaborate with experimental teams to design genomic experiments and interpret results.
  • Contribute to the development of new analytical methods and tools for genomic data analysis.
  • Ensure data integrity, quality control, and proper documentation of all bioinformatics workflows.
  • Present findings to internal teams and potentially at scientific conferences.

Skills

Python
R
Perl
Team collaboration
Independent work

Education

Ph.D. or MS in Bioinformatics/Genomics/CS

Tools

GATK
Samtools
BWA
Linux command-line

Job description

About the Role

Our client is seeking a dedicated Senior Bioinformatician with extensive experience in Genomics to join their advanced scientific research and development team in Durban . This role involves analyzing large-scale genomic datasets, developing sophisticated pipelines, and contributing to critical research projects aimed at understanding genetic variations and their implications. You will collaborate closely with molecular biologists, geneticists, and other computational scientists, working in a hybrid model that balances focused in-office collaboration with the flexibility of remote work. This is a fantastic opportunity to apply your expertise in a vibrant coastal city and contribute to cutting-edge genomic research.

Key Responsibilities
  • Develop, implement, and maintain scalable bioinformatics pipelines for the analysis of next-generation sequencing (NGS) data.
  • Perform variant calling, annotation, and association studies using large genomic datasets.
  • Collaborate with experimental teams to design genomic experiments and interpret results.
  • Contribute to the development of new analytical methods and tools for genomic data analysis.
  • Ensure data integrity, quality control, and proper documentation of all bioinformatics workflows.
  • Present findings to internal teams and potentially at scientific conferences.
Requirements
  • Ph.D. or M.S. in Bioinformatics, Genomics, Computer Science, or a related field.
  • A minimum of 4 years of hands-on experience in bioinformatics, with a strong focus on genomics .
  • Proficiency in programming languages such as Python, R, or Perl, and experience with command-line tools.
  • Solid understanding of statistical genetics, population genetics, and variant analysis.
  • Experience with NGS data analysis platforms and tools (e.g., GATK, Samtools, BWA).
  • Ability to work effectively both independently and as part of a team in a hybrid work environment located in Durban .
Benefits
  • Competitive salary and annual performance bonus.
  • Comprehensive medical aid and retirement fund contributions.
  • Generous annual leave and study leave for professional development.
  • Hybrid work arrangement offering flexibility and work-life balance.
  • Access to advanced computational resources and collaborative research projects.
  • Relocation assistance may be available for exceptional candidates.
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