Translational Bioinformatician — Hybrid & Impactful Research

Placements24; Soweto; Hybrid; ZAR 600,000 - 900,000; Full time

Job summary

Placements24 seeks a Bioinformatician to support Translational Research initiatives in Soweto. This hybrid role combines remote data analysis with on-site collaboration to translate findings into clinical applications, impacting patient care.

You will analyze omics data and build pipelines to uncover biomarkers and therapeutic targets. The ideal candidate has advanced degrees in bioinformatics or related fields, strong programming skills in Python or R, and experience with bioinformatics tools

Qualifications

• Master's or Ph.D. in Bioinformatics, Computational Biology, Statistics, or a related quantitative field.
• Proven experience in analyzing biological datasets using computational and statistical methods.
• Proficiency in programming languages such as Python or R and associated bioinformatics libraries.
• Familiarity with common bioinformatics tools and databases.
• Understanding of human genetics and molecular biology principles.
• Strong problem-solving abilities and excellent communication skills.

Responsibilities

• Analyze large-scale omics data (genomics, transcriptomics, proteomics) to identify biomarkers and therapeutic targets.
• Develop and maintain bioinformatics pipelines for data processing, quality control, and analysis.
• Collaborate with bench scientists and clinicians to interpret results and guide experimental design.
• Implement statistical methods and machine learning algorithms for data analysis.
• Communicate complex findings clearly to diverse audiences through reports and presentations.
• Contribute to the development of research protocols and scientific publications.

Skills

Programming (Python/R)

Bioinformatics data analysis

Problem solving

Communication

Education

Master's or Ph.D. in Bioinformatics or related field

Tools

Python/R

Job description

Placements24 seeks a Bioinformatician to support Translational Research initiatives in Soweto. This hybrid role combines remote data analysis with on-site collaboration to translate findings into clinical applications, impacting patient care.

You will analyze omics data and build pipelines to uncover biomarkers and therapeutic targets. The ideal candidate has advanced degrees in bioinformatics or related fields, strong programming skills in Python or R, and experience with bioinformatics tools