Computational Biologist - Bioinformatics

Placements24; Mossel Bay; Hybrid; ZAR 700,000 - 1,000,000; Full time

Benefits offered by this job

Remote work

Competitive salary

Cloud resources

Job summary

Placements24 is seeking a highly skilled Computational Biologist to join a remote-first research team, driving insights from large-scale biological data to advance drug discovery and precision medicine.

You will develop bioinformatics pipelines, run statistical analyses, collaborate with clinicians, and communicate results through clear visualizations. A PhD or Master’s in a quantitative field and strong Python or R skills are required, with cloud experience a plus.

Qualifications

• Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
• Strong programming skills in Python or R, with experience in relevant bioinformatics libraries.
• Proficiency in analyzing large-scale biological datasets (e.g., next-generation sequencing, microarray data).
• Solid understanding of biological pathways, molecular mechanisms, and common biological databases.
• Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.

Responsibilities

• Develop and implement bioinformatics pipelines for the analysis of genomic, transcriptomic, and proteomic data.
• Design and perform statistical analyses to identify biological patterns and significant findings.
• Collaborate with experimental biologists and clinicians to interpret complex datasets and guide research strategies.
• Create visualizations and reports to effectively communicate findings to both technical and non-technical audiences.
• Stay abreast of the latest advancements in bioinformatics, machine learning, and computational biology.

Skills

Python

R

Bioinformatics

Machine learning

Data analysis

Education

Ph.D. in a quantitative field

Master's degree in related field

Tools

AWS

GCP

Azure

Job description

About the Role

Our client is looking for a highly skilled Computational Biologist to join their pioneering remote-first research team. This position is central to unlocking insights from large-scale biological datasets, driving innovation in drug discovery and precision medicine. You will work on complex bioinformatics challenges, developing and applying cutting-edge analytical tools to unravel biological mechanisms. This role offers a unique opportunity to contribute to significant scientific advancements from the comfort of your own location, collaborating with world-class researchers and utilizing advanced computational infrastructure. This is an ideal role for a motivated individual passionate about leveraging data to make a difference in healthcare.

Key Responsibilities

• Develop and implement bioinformatics pipelines for the analysis of genomic, transcriptomic, and proteomic data.
• Design and perform statistical analyses to identify biological patterns and significant findings.
• Collaborate with experimental biologists and clinicians to interpret complex datasets and guide research strategies.
• Create visualizations and reports to effectively communicate findings to both technical and non-technical audiences.
• Stay abreast of the latest advancements in bioinformatics, machine learning, and computational biology.

Requirements

• Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
• Strong programming skills in Python or R, with experience in relevant bioinformatics libraries.
• Proficiency in analyzing large-scale biological datasets (e.g., next-generation sequencing, microarray data).
• Solid understanding of biological pathways, molecular mechanisms, and common biological databases.
• Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.

Benefits

• Competitive salary and comprehensive benefits package, tailored for remote employees.
• Flexible working hours and a truly remote work environment.
• Access to cloud computing resources and state-of-the-art software tools.
• Opportunities to work on high-impact research projects with leading scientists.
• A culture that values innovation, collaboration, and continuous learning across geographical boundaries.