About the Role
Our client, a renowned cancer research center, is seeking a Senior Bioinformatician to contribute to their pioneering work in Paarl, Western Cape. This vital role will involve the analysis of complex genomic and transcriptomic datasets from oncology patient cohorts to identify novel therapeutic targets and biomarkers. You will develop and apply advanced bioinformatics pipelines and statistical methods to uncover key insights into cancer biology and treatment response. The position requires a strong foundation in bioinformatics, oncology, and data science, along with excellent collaborative skills. This role operates on a hybrid model, allowing for flexibility between on-site analysis and remote data interpretation. Join our dedicated team in Paarl and make a significant impact on the future of cancer treatment through cutting-edge research. We are committed to fostering a collaborative and intellectually stimulating research environment.
Key Responsibilities
- Analyze large-scale genomic, transcriptomic, and proteomic datasets from cancer patients.
- Develop and implement bioinformatics pipelines for variant calling, gene expression analysis, and pathway enrichment.
- Collaborate with oncologists, pathologists, and molecular biologists to interpret findings in the context of cancer biology.
- Identify potential therapeutic targets and predictive biomarkers for cancer therapies.
- Visualize complex data to effectively communicate results to scientific and clinical teams.
- Contribute to the design of clinical trials and translational research studies.
- Stay current with the latest advancements in cancer genomics, bioinformatics tools, and computational methods.
- Maintain high-quality documentation of pipelines, analyses, and results.
- Mentor junior bioinformaticians and research staff.
- Present research findings at internal meetings and scientific conferences.
Requirements
- Ph.D. or MSc in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related field.
- Minimum of 5 years of experience in bioinformatics, with a significant focus on cancer research or genomics.
- Proven experience analyzing NGS data (e.g., WGS, WES, RNA-Seq).
- Proficiency in programming languages such as R, Python, or Perl, and experience with shell scripting.
- Familiarity with common bioinformatics tools and databases (e.g., TCGA, ICGC, Ensembl, UCSC Genome Browser).
- Strong statistical analysis and data visualization skills.
- Understanding of cancer biology, molecular mechanisms of cancer, and treatment modalities.
- Experience working with high-performance computing (HPC) environments.
- Excellent communication and interpersonal skills.
- Ability to work effectively both independently and collaboratively in a hybrid setting.
Benefits
- Competitive salary commensurate with experience and qualifications.
- Comprehensive health, dental, and vision insurance plans.
- Retirement savings plan with employer contributions.
- Opportunities for professional development, including conference attendance and training courses.
- Access to cutting-edge research infrastructure and large cancer datasets.
- A collaborative and stimulating work environment dedicated to fighting cancer.
- Generous annual leave allowance.
- Hybrid work arrangement for improved work-life balance.
- Employee wellness programs and support services.
- The opportunity to contribute to life-saving cancer research.