Remote Senior Bioinformatician

Placements24; Pretoria; Hybrid; ZAR 900,000 - 1,300,000; Full time

Job summary

Placements24 is seeking a Senior Bioinformatician to join a fully remote research team focused on genomics and personalized medicine. The role involves developing scalable pipelines for NGS data, performing multi-omic analyses, and collaborating with researchers across time zones to translate results into therapeutic strategies.

The ideal candidate holds a Ph.D. or Master’s in a related field, with 5+ years of hands-on bioinformatics experience, proficiency in Python/Perl and R, and a strong

Qualifications

• Ph.D. or Master’s in Bioinformatics, Computational Biology, Statistics, or related field.
• 5+ years of hands-on bioinformatics experience focusing on NGS data analysis.
• Proficiency in Python or Perl and experience with R for statistics.
• Familiarity with common bioinformatics tools, databases, and reference genomes.
• Strong understanding of statistical methods and machine learning for biological data.
• Excellent communication in a distributed, remote team environment.

Responsibilities

• Design, develop, and implement scalable bioinformatics pipelines for NGS data.
• Perform statistical analysis of genomic, transcriptomic, and proteomic datasets.
• Develop and maintain data management systems and biological databases.
• Collaborate with experimental biologists and clinicians on research questions.
• Create reports and visualizations for publications and presentations.
• Contribute to new algorithms and computational methods for data analysis.

Skills

Python

Perl

R

Statistical methods

Machine learning

Communication

Education

Ph.D./M.S. in Bioinformatics/Computational Biology

Tools

Python

Perl

R

NGS pipelines

Job description

About the Role

Our client is seeking a highly motivated and experienced Senior Bioinformatician to join their fully remote research team. This role is critical for advancing their groundbreaking work in genomics and personalized medicine, requiring a deep understanding of computational biology and large-scale data analysis. You will be responsible for developing and applying computational approaches to analyze diverse biological datasets, collaborating virtually with researchers across different time zones, and contributing to the interpretation of results that will shape future therapeutic strategies.

Key Responsibilities

• Design, develop, and implement scalable bioinformatics pipelines for the analysis of next-generation sequencing (NGS) data.
• Perform statistical analysis and interpretation of genomic, transcriptomic, and proteomic datasets.
• Develop and maintain data management systems and databases for biological information.
• Collaborate closely with experimental biologists and clinicians to address research questions and design experiments.
• Create clear and concise reports and visualizations of analytical results for scientific publications and presentations.
• Contribute to the development of novel algorithms and computational methods for biological data analysis.

Requirements

• Ph.D. or Master's degree in Bioinformatics, Computational Biology, Statistics, or a related field.
• Minimum of 5 years of hands‑on experience in bioinformatics, with a focus on NGS data analysis.
• Proficiency in scripting languages such as Python or Perl, and experience with R for statistical analysis.
• Familiarity with common bioinformatics tools, databases, and reference genomes.
• Strong understanding of statistical principles and machine learning techniques applicable to biological data.
• Excellent communication skills and the ability to work effectively in a distributed, remote team environment.

Benefits

• A competitive salary commensurate with experience, paid annually.
• Flexible working hours and the ability to work from anywhere.
• Comprehensive health, dental, and vision insurance coverage.
• Generous allowance for home office setup and professional development.
• Opportunity to contribute to impactful research that advances healthcare on a global scale.