About the Role
Our client, a leading biotechnology firm located in the scenic town of Paarl, is actively seeking an experienced Lead Bioinformatics Scientist. This role requires a dedicated individual to head a team focused on leveraging computational approaches to analyze complex biological datasets, driving discovery in areas like genomics and proteomics. The position is office-based, offering a collaborative environment where you can directly engage with experimental biologists and computational biologists. You will play a pivotal role in designing and implementing robust analytical pipelines, interpreting large-scale omics data, and translating findings into actionable biological insights. This is a fantastic opportunity to lead scientific innovation within a dynamic research setting in the heart of the Western Cape's Winelands region of South Africa.
Key Responsibilities
- Lead and manage a team of bioinformatics scientists, overseeing project execution and ensuring scientific rigor.
- Develop, implement, and validate computational pipelines for analyzing genomic, transcriptomic, proteomic, and metabolomic data.
- Perform in-depth statistical analysis and interpretation of large biological datasets.
- Collaborate closely with molecular biologists, geneticists, and clinicians to define research questions and experimental designs.
- Develop predictive models and machine learning approaches for biological data analysis.
- Contribute to the design and maintenance of bioinformatics databases and infrastructure.
- Stay abreast of the latest advancements in bioinformatics, genomics, and related fields.
- Communicate complex findings effectively to both technical and non-technical audiences through reports and presentations.
Requirements
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- A minimum of 6 years of hands-on experience in bioinformatics, with at least 2 years in a team leadership or supervisory role.
- Demonstrated expertise in analyzing next-generation sequencing (NGS) data (e.g., WGS, WES, RNA-Seq).
- Strong programming skills in Python and/or R, and proficiency with relevant bioinformatics tools and databases.
- Solid understanding of statistical methods and machine learning techniques applicable to biological data.
- Experience with cloud computing platforms (e.g., AWS, Azure) is advantageous.
- Excellent communication, interpersonal, and leadership skills.
- Ability to work collaboratively in a fast-paced research environment in Paarl, Western Cape.
- Proven ability to manage multiple projects and deadlines effectively.
Benefits
- Our client offers a competitive salary commensurate with experience.
- A comprehensive benefits package including medical and dental insurance.
- A performance-based bonus structure.
- Access to cutting-edge computational resources and collaborative opportunities with leading researchers.
- Professional development is supported through training, workshops, and conference attendance.
- Enjoy working in a beautiful setting with a team dedicated to making significant contributions to life sciences in South Africa.