Senior Bioinformatics Scientist - Proteomics

Our client, a cutting-edge biotechnology research organization, is looking for a Senior Bioinformatics Scientist with specialized expertise in proteomics to join their innovative team. This position, based in Port Elizabeth, Eastern Cape, ZA, will be instrumental in analyzing and interpreting complex proteomic datasets to drive biological insights and drug discovery initiatives. The role requires a deep understanding of bioinformatics methodologies applied to large-scale proteomics data.

This role is remote-friendly, allowing for flexible work arrangements while contributing to significant scientific advancements from Port Elizabeth, Eastern Cape, ZA.

• Develop and implement advanced bioinformatics pipelines for the analysis of high-throughput proteomics data (e.g., Mass Spectrometry-based proteomics).
• Analyze and interpret complex proteomic datasets to identify protein biomarkers, understand signaling pathways, and discover novel therapeutic targets.
• Collaborate with experimental proteomists, biologists, and other scientists to integrate multi-omics data.
• Develop and maintain databases and computational tools for data management and visualization.
• Apply statistical and machine learning techniques to extract meaningful biological insights from proteomic data.
• Communicate complex findings effectively to both technical and non-technical audiences through reports and presentations.
• Stay current with the latest advancements in proteomics, bioinformatics, and computational biology.
• Mentor junior bioinformatics staff and contribute to team strategy.

• Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field with a strong focus on proteomics.
• Minimum of 5 years of experience in bioinformatics, with a significant portion dedicated to the analysis of proteomics data.
• Proven expertise in using bioinformatics software and tools relevant to proteomics analysis (e.g., Max Quant, Proteome Discoverer, Skyline, R, Python).
• Strong understanding of mass spectrometry-based proteomics workflows.
• Experience with statistical analysis, machine learning, and data visualization techniques.
• Familiarity with biological databases and ontologies (e.g., Uni Prot, GO, KEGG).
• Excellent programming skills (e.g., Python, R, Perl) and experience with command-line interfaces.
• Strong communication and interpersonal skills, with the ability to work effectively in a collaborative, remote environment.
• Experience in the Port Elizabeth, Eastern Cape, ZA area is a plus, but not required for this remote position.

• Our client offers a competitive salary, comprehensive health and wellness benefits, flexible working hours, and opportunities for professional development and conference attendance.
• The company provides access to high-performance computing resources and a collaborative research environment.
• Join a forward-thinking team focused on leveraging cutting-edge proteomics and bioinformatics to drive scientific discovery and innovation.
• This remote role offers significant autonomy and the chance to impact major research projects.