Senior Bioinformatician - Genomics

Placements24; Klerksdorp; On-site; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Salary increments

Health insurance

Retirement plan

Learning opportunities

Computational resources

Collaborative environment

Job summary

Placements24 in Klerksdorp is seeking a Senior Bioinformatician to join our genomics research team. This role centers on analyzing large-scale genomic datasets, building computational pipelines, and extracting meaningful biological insights to drive research forward.

You will collaborate with molecular biologists, geneticists, and other computational scientists in a dynamic, research-focused environment, leveraging cutting-edge infrastructure to push genomic science from our Klerksdorp location.

Qualifications

• PhD or Master's degree in Bioinformatics, Computational Biology, CS, Statistics, or related field.
• Minimum of 5 years of experience in bioinformatics or computational genomics research.
• Proficiency in Python, R, and/or Perl.
• Strong experience with NGS data analysis tools and platforms (STAR, GATK).
• Solid understanding of statistical methods and machine learning techniques applied to biological data.
• Experience working in Linux/Unix environments and HPC clusters.

Responsibilities

• Design, develop, and implement robust bioinformatics pipelines for NGS data.
• Perform data quality control, statistical analysis, and interpretation of genomic datasets.
• Identify genetic variants, expression patterns, and functional pathways.
• Collaborate with experimental biologists to design experiments and interpret results.
• Stay current with advancements in bioinformatics tools, algorithms, and genomic technologies.
• Communicate findings through presentations and publications to diverse audiences.

Skills

Python

R

Perl

Statistical methods

Machine learning

Education

PhD or Master's in Bioinformatics/Computational Biology/CS/Statistics

Tools

STAR

GATK

Job description

About the Role

Our client is seeking a highly skilled Senior Bioinformatician to join their dynamic Genomics research team in Klerksdorp . This role is central to analyzing large-scale genomic datasets, developing computational pipelines, and extracting meaningful biological insights to drive research forward. You will collaborate with molecular biologists, geneticists, and other computational scientists to tackle complex biological questions. The ideal candidate will possess a strong computational background, extensive experience with bioinformatics tools and algorithms, and a passion for leveraging data to understand biological systems. This is an excellent opportunity to contribute to groundbreaking research in a stimulating environment, pushing the boundaries of genomic science from our Klerksdorp location.

Key Responsibilities

• Design, develop, and implement robust bioinformatics pipelines for the analysis of next-generation sequencing (NGS) data.
• Perform data quality control, statistical analysis, and interpretation of genomic and transcriptomic datasets.
• Develop and apply computational methods to identify genetic variants, gene expression patterns, and functional pathways.
• Collaborate with experimental biologists to design experiments and interpret results in a biological context.
• Stay current with advancements in bioinformatics tools, algorithms, and genomic technologies.
• Communicate findings effectively through presentations and publications to both scientific and non-scientific audiences.

Requirements

• PhD or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
• Minimum of 5 years of experience in bioinformatics or computational genomics research.
• Proficiency in programming languages such as Python, R, and/or Perl.
• Strong experience with NGS data analysis tools and platforms (e.g., STAR, GATK, etc.).
• Solid understanding of statistical methods and machine learning techniques applied to biological data.
• Experience working in a Linux/Unix environment and with high-performance computing clusters.

Benefits

• An attractive annual salary with performance-based increments.
• Comprehensive health, dental, and vision insurance.
• Retirement savings plan with company matching.
• Opportunities for continuous learning and professional development, including conference attendance.
• Access to cutting-edge computational infrastructure and research resources in Klerksdorp .
• A highly collaborative and intellectually stimulating research environment.