Senior Computational Biologist

Placements24; Mtubatuba Local Municipality; On-site; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Paid time off

Professional development

Research resources

Job summary

Placements24 is seeking a highly motivated Senior Computational Biologist to join its Richards Bay-based research team. You will analyze large-scale omics datasets, develop computational pipelines, and collaborate with bench scientists to translate data into biological insights.

The role is on-site in Richards Bay, requiring a PhD and 4+ years in computational biology or bioinformatics. Proficiency in Python or R, experience with sequence alignment tools and genome browsers, and a passion for

Qualifications

• PhD in Computational Biology, Bioinformatics, Genetics, or related field.
• Minimum of 4 years of relevant research experience in computational biology or bioinformatics.
• Proficiency in Python or R and experience with bioinformatics libraries.
• Experience with sequence alignment tools, genome browsers, and databases.
• Strong understanding of molecular biology, genetics, and experimental techniques.

Responsibilities

• Analyze and interpret large-scale biological datasets across omics disciplines using computational methods.
• Develop and implement computational pipelines for data processing, QC, and analysis.
• Collaborate with experimental biologists to design experiments and interpret results.
• Contribute to development of predictive models and hypotheses based on data analysis.
• Present findings at internal meetings and conferences; document code and workflows.

Skills

Python

R

Analytical thinking

Team collaboration

Education

PhD in Computational Biology or related field

Tools

Sequence alignment tools

Genome browsers

Bioinformatics databases

Job description

About the Role

Our client is looking for a highly motivated and experienced Senior Computational Biologist to join their innovative research team located in Richards Bay . This role is integral to unraveling complex biological systems through the application of cutting-edge computational techniques. You will work on diverse research projects, analyzing large datasets to derive meaningful biological insights and drive discovery. This position requires on-site presence to facilitate close collaboration with bench scientists and leverage specialized laboratory resources. If you are passionate about applying computational approaches to biological questions and thrive in a collaborative lab environment, this role offers a significant opportunity to contribute to groundbreaking scientific advancements.

Key Responsibilities

• Analyze and interpret large-scale biological datasets, including genomics, transcriptomics, and proteomics data, using computational tools and statistical methods.
• Develop and implement computational pipelines for data processing, quality control, and analysis.
• Collaborate with experimental biologists to design experiments and interpret results in a biological context.
• Contribute to the development of predictive models and hypotheses based on data analysis.
• Present research findings at internal meetings and potentially at scientific conferences.
• Maintain comprehensive documentation of code, workflows, and analysis results.

Requirements

• Ph.D. in Computational Biology, Bioinformatics, Genetics, or a related field.
• Minimum of 4 years of relevant research experience in computational biology or bioinformatics.
• Proficiency in programming languages such as Python or R, and experience with relevant bioinformatics libraries.
• Experience with sequence alignment tools, genome browsers, and databases.
• Solid understanding of molecular biology, genetics, and experimental techniques.
• Strong analytical and problem-solving skills, with the ability to work independently and as part of a team.

Benefits

• Competitive annual salary and potential for performance-based bonuses.
• Comprehensive health, dental, and vision insurance coverage.
• Generous paid time off and company holidays.
• Support for professional development, including workshops and conferences.
• Access to advanced computational resources and a collaborative research environment.