Senior Bioinformatician

Placements24; Richards Bay; On-site; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Medical, dental, vision insurance

Professional development opportunities

Generous paid time off

Access to HPC resources

Job summary

Placements24 in Richards Bay, South Africa, seeks a Senior Bioinformatician to join their research team. You will design and maintain bioinformatics pipelines for diverse datasets, including NGS data, and collaborate with bench scientists to translate findings into meaningful insights.

The position requires a Master’s or PhD in a quantitative field, at least 5 years of experience, and proficiency in Python, R, and Bash.

Qualifications

• Master's or PhD in a quantitative field (Bioinformatics, Computational Biology, CS) required.
• Minimum 5 years of professional bioinformatics experience with NGS data.
• Proficiency in Python, R, and Bash scripting; strong Linux/Unix HPC skills.

Responsibilities

• Develop, implement, and maintain bioinformatics pipelines for diverse datasets, incl. NGS data.
• Perform statistical analysis to identify patterns and potential biomarkers.
• Collaborate with experimental researchers to define data analysis needs.
• Troubleshoot and optimize workflows for efficiency and accuracy.
• Contribute to experimental design by providing computational insights.
• Generate clear reports and visualizations for publications and presentations.

Skills

Team collaboration

Problem solving

Statistical analysis

Education

Master's or Ph.D. in Bioinformatics/Computational Biology/CS

Tools

Python

R

Bash

Linux/Unix

Job description

About the Role

Our client is seeking a highly skilled Senior Bioinformatician to join their dedicated research team located in Richards Bay . This position is integral to our scientific endeavors, focusing on the analysis and interpretation of complex biological data to drive critical research outcomes. You will be part of a collaborative and innovative environment where your expertise will directly contribute to significant scientific advancements. The role requires a hands‑on approach, working closely with bench scientists and computational biologists to solve challenging biological questions. You will leverage your deep understanding of bioinformatics tools and methodologies to ensure the successful execution of research projects within our state‑of-the‑art facilities.

Key Responsibilities

• Develop, implement, and maintain bioinformatics pipelines for the analysis of diverse biological datasets, including next-generation sequencing (NGS) data.
• Perform statistical analysis and data interpretation to identify biological patterns, genetic variations, and potential biomarkers.
• Collaborate closely with experimental researchers to define data analysis requirements and provide insights.
• Troubleshoot and optimize existing analysis workflows to improve efficiency and accuracy.
• Contribute to the design of experiments by providing computational insights and recommendations.
• Generate clear and concise reports and visualizations of findings for research publications and presentations.

Requirements

• Master's or Ph.D. degree in Bioinformatics , Computational Biology, Computer Science, or a related quantitative field.
• Minimum of 5 years of professional experience in bioinformatics analysis, with a strong emphasis on NGS data.
• Proficiency in programming languages such as Python, R, and Bash scripting, including experience with common bioinformatics libraries and tools.
• Solid understanding of statistical methods and their application to biological data.
• Experience with Linux/Unix environments and high-performance computing clusters.
• Excellent problem-solving skills and the ability to work effectively within a collaborative team on-site.

Benefits

• Competitive salary and potential for performance-based bonuses.
• Comprehensive medical, dental, and vision insurance coverage.
• Opportunities for professional development and attending scientific conferences.
• Generous paid time off and company holidays.
• A collaborative and stimulating research environment in Richards Bay .
• Access to advanced computational resources and cutting-edge laboratory facilities.