Senior Bioinformatician - Genomics & Data Analysis

Placements24; LegKraal Gate; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Health insurance

Retirement savings

Professional growth

Conferences

Job summary

Placements24 seeks a Senior Bioinformatician to join a cutting-edge genomics research team in Mahikeng. You will analyze large-scale genomic and transcriptomic data, develop scalable pipelines, and collaborate with biologists, clinicians, and data scientists to extract biological insights.

The ideal candidate holds a Ph.D. or MSc, 5+ years in bioinformatics, strong Python/R/Perl skills, experience with HPC and cloud platforms, and a solid understanding of molecular biology and genomics.

Qualifications

• Ph.D. or MSc in Bioinformatics, Computational Biology, CS, Statistics, or related field.
• Minimum of 5 years of bioinformatics/computational biology research.
• Proficiency in Python, R, and/or Perl.
• Hands-on experience with common bioinformatics tools and databases for genomic analysis.
• Solid understanding of molecular biology, genetics, and genomics.
• Experience with cloud platforms (AWS, Google Cloud) and HPC is a plus.

Responsibilities

• Analyze high-throughput sequencing data (e.g., WGS, exome, RNA-Seq) using pipelines.
• Develop, implement, and maintain scalable bioinformatics workflows and tools.
• Perform statistical analysis and interpretation of genomic and transcriptomic data.
• Collaborate with wet-lab scientists to design experiments and interpret results.
• Contribute to development/maintenance of biological databases and ontologies.
• Present findings at team meetings, conferences, and publications.

Skills

Python

R

Perl

big data

Education

Ph.D. or Master’s degree in Bioinformatics or related field

Tools

Bioinformatics tools

Genomic databases

Job description

About the Role

Our client is seeking a talented Senior Bioinformatician to join their cutting-edge genomics research team in Mahikeng . This role is central to analyzing large-scale genomic and transcriptomic datasets, developing novel computational tools, and contributing to groundbreaking discoveries in biology and medicine. You will collaborate closely with experimental biologists, clinicians, and other data scientists to extract meaningful insights from complex biological data. The ideal candidate possesses strong programming skills, a deep understanding of biological pathways, and a proven ability to manage and analyze big data. This is an exciting opportunity to work at the forefront of bioinformatics, driving research forward in a supportive and innovative environment.

Key Responsibilities

• Analyze high-throughput sequencing data (e.g., whole-genome, exome, RNA-Seq) using established and novel bioinformatics pipelines.
• Develop, implement, and maintain scalable bioinformatics workflows and computational tools.
• Perform statistical analysis and interpretation of genomic and transcriptomic data to identify biological insights.
• Collaborate with wet-lab scientists to design experiments and interpret results.
• Contribute to the development and maintenance of biological databases and ontologies.
• Present findings at team meetings, scientific conferences, and in publications.

Requirements

• Ph.D. 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 biology research.
• Proficiency in programming languages such as Python, R, and/or Perl.
• Hands-on experience with common bioinformatics tools and databases for genomic analysis.
• Solid understanding of molecular biology, genetics, and genomics.
• Experience with cloud computing platforms (e.g., AWS, Google Cloud) and high-performance computing environments is a plus.

Benefits

• Competitive salary and excellent benefits package including health insurance and retirement savings.
• Opportunities for professional growth, training, and attending scientific conferences.
• Generous paid time off and flexible working schedule.
• Access to state-of-the-art computational resources and collaborative research infrastructure.
• A dynamic, forward-thinking research environment focused on scientific advancement.
• Support for work-life balance and employee well-being initiatives.