Senior Genomics Scientist - Bioinformatics Analysis

Placements24; Soweto; Hybride; ZAR 1 000 000 - 1 600 000; Plein temps

Avantages offerts par ce poste

Health insurance

Dental and vision insurance

Flexible working schedule

Professional development (workshops &…

Advanced computational resources

Relocation assistance

Résumé du poste

Placements24 is seeking a Senior Genomics Scientist with a strong focus on bioinformatics to join our hybrid team in Soweto, Gauteng. The role blends on-site lab interactions with remote computational work, guiding genomic analyses and collaboration with clinicians.

You will design pipelines, interpret complex data, and mentor junior staff while contributing to grant proposals and research strategies. A PhD and 5+ years in bioinformatics are required.

Qualifications

• PhD in Bioinformatics, Computational Biology, Genomics, Computer Science, or related field.
• Minimum of 5 years of experience in bioinformatics analysis of genomic data.
• Proven expertise in analyzing next-generation sequencing (NGS) data.
• Proficiency in Python and R.
• Strong experience with bioinformatics tools and databases (SAMtools, BEDTools, VCFtools, Ensembl).
• Solid understanding of statistical methods and machine learning techniques.
• Experience with command-line interfaces and HPC environments.

Responsabilités

• Design, implement, and optimize bioinformatics pipelines for analyzing high-throughput genomic data (WGS, WES, RNA-Seq).
• Perform statistical analysis and interpretation of genomic variation data (SNPs, indels, SVs).
• Identify and annotate genes, pathways, and molecular mechanisms associated with phenotypes/diseases.
• Collaborate with experimental biologists to design genomic experiments and interpret results.
• Develop and maintain computational tools and databases for genomic data management and analysis.
• Stay current with advancements in genomics and bioinformatics tools.
• Present complex findings to multidisciplinary teams and contribute to publications.
• Ensure data quality, integrity, and reproducibility of analyses.
• Mentor junior bioinformaticians and research assistants.
• Contribute to grant proposals and research strategies.

Connaissances

NGS data analysis

Python

R

Statistical analysis

Machine learning

Collaboration

Formation

PhD in Bioinformatics/Genomics/Computational Biology

Outils

SAMtools

BEDTools

VCFtools

Ensembl

Description du poste

About the Role

Our client, a cutting-edge biotechnology company, is seeking a Senior Genomics Scientist with a strong focus on bioinformatics analysis to join their dynamic research team in Soweto, Gauteng. This pivotal role involves the analysis of large-scale genomic datasets to uncover insights into disease mechanisms, identify genetic variations, and contribute to the development of personalized medicine approaches. You will play a key role in designing bioinformatics pipelines, interpreting complex genomic data, and collaborating with experimental biologists and clinicians. This Hybrid position offers a flexible work environment, balancing essential on-site lab interactions and computational work with the convenience of remote collaboration. We are committed to advancing genomic research and are looking for a talented individual eager to make a significant impact.

Key Responsibilities

• Design, implement, and optimize bioinformatics pipelines for analyzing high-throughput genomic data (e.g., WGS, WES, RNA-Seq).
• Perform statistical analysis and interpretation of genomic variation data, including SNPs, indels, and structural variants.
• Identify and annotate genes, pathways, and molecular mechanisms associated with specific phenotypes or diseases.
• Collaborate with experimental biologists to design genomic experiments and interpret results.
• Develop and maintain computational tools and databases for genomic data management and analysis.
• Stay current with the latest advancements in genomics, bioinformatics, and relevant computational tools.
• Present complex analytical findings to multidisciplinary teams and contribute to scientific publications.
• Ensure data quality, integrity, and reproducibility of bioinformatics analyses.
• Mentor junior bioinformaticians and research assistants.
• Contribute to the development of grant proposals and research strategies.

Requirements

• Ph.D. in Bioinformatics, Computational Biology, Genomics, Computer Science, or a related field.
• Minimum of 5 years of experience in bioinformatics analysis of genomic data.
• Proven expertise in analyzing next-generation sequencing (NGS) data.
• Proficiency in programming languages commonly used in bioinformatics, such as Python and R.
• Strong experience with bioinformatics tools and databases (e.g., SAMtools, BEDTools, VCFtools, Ensembl).
• Solid understanding of statistical methods and machine learning techniques applicable to genomic data.
• Experience with command-line interfaces and high-performance computing environments.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills, essential for working in a Hybrid team.
• Ability to work independently and manage multiple analysis projects concurrently.

Benefits

• Competitive salary and performance-based incentives.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and flexible working schedule.
• Opportunities for professional development, including workshops and conference attendance.
• Access to advanced computational resources and cutting-edge genomic technologies.
• A collaborative and innovative research environment.
• Potential for career advancement within the organization.
• Relocation assistance may be provided for qualified candidates.