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Research Associate - Bioinformatics
Remote / Online - Candidates ideally in
Durban, 3611, South Africa
Listed on 2026-10-05
Durban, 3611, South Africa
Listing for:
Placements24
Remote/Work from Home
position Listed on 2026-10-05
Job specializations:
-
Research/Development
Data Scientist, Research Scientist
Job Description & How to Apply Below
Our client is looking for a skilled Research Associate with a specialization in Bioinformatics to join their innovative, fully remote scientific team. This role is crucial for supporting large-scale data analysis projects, developing computational tools, and interpreting complex biological datasets derived from genomics and proteomics studies. You will work closely with experimental biologists and other bioinformaticians to uncover critical insights that drive our client's research agenda forward.
This position offers the chance to contribute to impactful scientific discoveries while enjoying the flexibility and autonomy of a remote work arrangement.
- Process, analyze, and interpret large-scale biological datasets, including next-generation sequencing (NGS) and mass spectrometry data.
- Develop and implement computational pipelines and algorithms for data analysis and visualization.
- Collaborate with experimental teams to define data analysis requirements and provide insights from complex datasets.
- Identify, evaluate, and integrate novel bioinformatics tools and databases to enhance analytical capabilities.
- Troubleshoot and resolve issues related to data processing and analysis pipelines.
- Contribute to the documentation of methodologies and the preparation of reports and presentations.
- Master's or Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field.
- Proven experience in analyzing high-throughput biological data, such as genomics, transcriptomics, or proteomics.
- Proficiency in scripting languages like Python or R, and experience with relevant bioinformatics libraries and packages.
- Familiarity with statistical methods and machine learning techniques applicable to biological data.
- Experience with command-line interfaces and working in a Linux/Unix environment.
- Strong problem-solving abilities and effective communication skills for remote collaboration.
- Competitive salary and performance incentives.
- Fully remote work arrangement, offering significant flexibility.
- Comprehensive health, dental, and vision insurance plans.
- Generous allowance for professional development and continuing education.
- Contribution to a dynamic and forward-thinking research environment.
Position Requirements
10+ Years
work experience
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