Senior Computational Biologist

Placements24; Klerksdorp; On-site; ZAR 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Health benefits

Paid time off

Professional development

Research tools access

Job summary

Placements24 is seeking a Senior Computational Biologist to join a state-of-the-art research facility in Klerksdorp, South Africa. You will design computational strategies for analyzing large biological datasets and collaborate across biology, computer science, and statistics.

The ideal candidate holds a PhD or MSc with 6+ years in computational biology, and is proficient in Python, R, or C++. You will build reproducible pipelines, publish findings, and contribute to groundbreaking research.

Qualifications

• Ph.D. or Master's with strong biological component.
• Minimum of 6 years in computational biology.
• Proficiency in Python, R or C++, and relevant scientific libraries.
• Strong grasp of biological pathways and experimental data types (NGS, microarrays).
• Experience with statistics, machine learning, and data visualization.
• Excellent analytical, problem-solving and communication skills.

Responsibilities

• Design and implement computational strategies for analyzing large biological datasets (genomics, proteomics, transcriptomics).
• Develop and validate algorithms and software tools to support research and discovery.
• Collaborate with experimental biologists to interpret data and design future experiments.
• Build and maintain reproducible analysis pipelines and databases for biological information.
• Stay current with advances in computational biology, bioinformatics, and related fields.
• Present findings and contribute to publications and internal reports.

Skills

Python

R

C++

Statistical analysis

Data visualization

Education

PhD in Computational Biology

MS in Bioinformatics

Tools

Bioinformatics libraries

NGS data analysis

Job description

About the Role

Our client is seeking an experienced Senior Computational Biologist to join their state-of-the-art research facility in Klerksdorp . This pivotal role involves leveraging advanced computational methods to analyze and interpret complex biological data, driving key insights in our discovery programs. You will work at the intersection of biology, computer science, and statistics, collaborating with a multidisciplinary team of scientists. The ideal candidate possesses a strong foundation in biological sciences coupled with expert-level computational and analytical skills, eager to tackle challenging research questions. This position offers a unique opportunity to contribute to groundbreaking scientific advancements within a dedicated research environment.

Key Responsibilities

• Design and implement computational strategies for analyzing large biological datasets, including genomics, proteomics, and transcriptomics.
• Develop and validate algorithms and software tools to support biological research and discovery.
• Collaborate with experimental biologists to interpret data, formulate hypotheses, and design future experiments.
• Build and maintain reproducible analysis pipelines and databases for biological information.
• Stay current with advancements in computational biology, bioinformatics, and relevant biological fields.
• Present findings and contribute to scientific publications and internal reports.

Requirements

• Ph.D. or Master's degree in Computational Biology, Bioinformatics, Computer Science, or a related field with a strong biological component.
• Minimum of 6 years of experience in computational biology or a closely related discipline.
• Proficiency in programming languages such as Python, R, or C++, and experience with relevant scientific libraries.
• Strong understanding of biological pathways, molecular mechanisms, and experimental data types (e.g., NGS, microarrays).
• Experience with statistical analysis, machine learning, and data visualization techniques.
• Excellent analytical, problem-solving, and communication skills.

Benefits

• Competitive salary commensurate with experience and a performance bonus structure.
• Comprehensive health, dental, and vision insurance benefits.
• Generous paid time off and holiday schedule.
• Opportunities for professional development, including workshops and conferences.
• Access to advanced computational infrastructure and cutting-edge research tools.