About the Role Our client, a leading genomics research institute, is seeking a highly experienced Principal Computational Biologist to join their innovative team in Mossel Bay, Western Cape. This senior role will play a pivotal part in analyzing large-scale genomic datasets to drive biological discovery and understand disease mechanisms. You will lead projects involving the development and application of cutting-edge bioinformatics pipelines for next-generation sequencing (NGS) data.
The ideal candidate possesses a strong computational background, a deep understanding of genomics, and proven experience in managing complex research projects.
This position is based in our advanced research facility in Mossel Bay, offering a unique opportunity to contribute to cutting-edge genomic research in a beautiful coastal setting.
We foster a collaborative and intellectually stimulating environment where scientific curiosity is paramount. You will work closely with molecular biologists, geneticists, and clinicians to translate genomic findings into actionable insights.
Key Responsibilities
- Lead the design and implementation of computational strategies for analyzing large-scale genomic and transcriptomic datasets.
- Develop, optimize, and maintain robust bioinformatics pipelines for NGS data processing and analysis.
- Perform in-depth analysis of whole-genome sequencing, exome sequencing, and RNA-Seq data.
- Identify genetic variants, assess their functional impact, and associate them with phenotypes or disease states.
- Collaborate with experimental biologists to interpret results and design follow-up studies.
- Mentor and guide junior computational biologists and bioinformaticians.
- Stay current with the latest advancements in genomics, bioinformatics tools, and algorithms.
- Present findings at international conferences and contribute to publications in high-impact journals.
- Manage data resources, ensuring data integrity, security, and accessibility.
- Contribute to grant writing and secure funding for new research initiatives.
Requirements
- Ph.D. in Computational Biology, Bioinformatics, Genomics, Computer Science, or a related quantitative field.
- Minimum of 7 years of post-doctoral research experience with a strong focus on genomics and NGS data analysis.
- Expertise in analyzing various NGS data types (WGS, WES, RNA-Seq, ChIP-Seq).
- Proficiency in programming languages such as Python, R, or Perl, and experience with shell scripting.
- Strong experience with bioinformatics tools and databases (e.g., GATK, Samtools, BEDTools, Ensembl).
- Familiarity with high-performance computing (HPC) environments and cloud computing platforms.
- Solid understanding of molecular biology, genetics, and statistical principles.
- Proven ability to lead research projects and mentor junior staff.
- Excellent communication and presentation skills, with a track record of publications.
- Experience in population genetics or cancer genomics is a significant advantage.
Benefits
- Highly competitive salary and potential for performance-based bonuses.
- Comprehensive health, dental, and vision insurance.
- Generous retirement plan with employer matching.
- Significant opportunities for professional development, training, and conference attendance.
- Access to cutting-edge computational infrastructure and large genomic datasets.
- A stimulating and collaborative research environment in a unique location.
- Paid time off, including generous annual leave.
- Potential for career advancement within a leading research institution.
- Relocation assistance available for qualified candidates.
- Opportunity to contribute to impactful scientific discoveries in human health.