Research Scientist - Computational Biology

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

Benefits offered by this job

Performance bonus

Health, dental & vision insurance

Professional development opportunities

Hybrid work arrangement

Soweto-based impactful research

Job summary

Placements24 in Soweto seeks a Research Scientist specializing in Computational Biology to advance analysis of large-scale omics datasets and drive genomic insights. You will develop pipelines, collaborate with experimental teams, build predictive models, and communicate findings to diverse audiences while staying current with field advances.

This role offers a hybrid work setup and opportunities for professional development and impactful biology research in a collaborative environment.

Qualifications

• PhD or MSc in computational biology or related quantitative field.
• Experience analyzing biological datasets using Python or R.
• Strong understanding of molecular biology and genetics.

Responsibilities

• Analyze large-scale omics data using statistical and ML methods.
• Develop pipelines for data processing and quality control.
• Collaborate with experimental scientists to design studies.
• Build predictive models and identify biomarkers or targets.
• Communicate complex findings to technical and non-technical audiences.
• Stay current with advances in computational biology and bioinformatics.

Skills

Analytical thinking

Communication

Interdisciplinary collaboration

Biology domain knowledge

Education

Ph.D./MSc in Computational Biology or related

Tools

Python

R

Bioinformatics tools

Job description

About the Role

Our client is seeking a talented Research Scientist specializing in Computational Biology to join their innovative team in Soweto . This role is vital for leveraging advanced computational approaches to analyze large-scale biological datasets, driving insights in areas such as genomics, proteomics, and systems biology. You will collaborate closely with experimental biologists to interpret complex data and guide future research directions. This is an excellent opportunity to apply cutting-edge bioinformatics tools and techniques in a growing research environment.

Key Responsibilities

• Analyze large-scale omics data (genomics, transcriptomics, proteomics) using statistical and machine learning methods.
• Develop and implement computational pipelines for data processing, quality control, and interpretation.
• Collaborate with experimental scientists to design studies and interpret results in a biological context.
• Build predictive models and identify biomarkers or therapeutic targets from complex datasets.
• Visualize and communicate complex computational findings to both technical and non-technical audiences.
• Stay current with the latest advancements in computational biology, bioinformatics, and relevant biological fields.

Requirements

• Ph.D. or Master's degree in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
• Demonstrated experience in analyzing biological datasets using programming languages such as Python or R.
• Proficiency with relevant bioinformatics tools and databases.
• Strong understanding of molecular biology and genetics.
• Excellent analytical and problem-solving skills.
• Effective communication and collaboration abilities, especially within interdisciplinary teams.

Benefits

• Competitive salary and potential for performance bonuses.
• Comprehensive health, dental, and vision insurance.
• Support for professional development, including workshops and conferences.
• Opportunity to work on impactful biological research projects in Soweto . A collaborative and intellectually stimulating work environment.
• Hybrid work arrangement to promote work-life balance.