Remote Senior Computational Biologist
Rustenburg, 0202, South Africa
Listed on 2026-09-07
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Research/Development
Data Scientist -
IT/Tech
Data Scientist, Machine Learning/ ML Engineer
About the Role
Our client is actively seeking a talented Senior Computational Biologist to join their fully remote research team. This critical role will focus on analyzing large-scale genomic and transcriptomic data to uncover biological insights and drive therapeutic discovery. You will collaborate closely with experimental biologists and bioinformaticians worldwide, leveraging your expertise in data analysis, algorithm development, and machine learning. This is an exceptional opportunity to contribute to impactful research from anywhere, joining a company that champions innovation, collaboration, and flexible working practices.
The role requires a proactive individual passionate about translating complex biological data into actionable findings.
- Analyze and interpret high-throughput sequencing data (e.g., RNA-Seq, WGS, ChIP-Seq).
- Develop and implement computational pipelines and algorithms for biological data analysis.
- Apply machine learning techniques to identify patterns and predict biological outcomes.
- Collaborate with experimental teams to design studies and interpret results in a biological context.
- Contribute to the development of novel bioinformatics tools and software.
- Present complex analytical findings clearly to both technical and non-technical audiences.
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, or a related quantitative field.
- Minimum of 6 years of experience in computational biology or bioinformatics research.
- Proficiency in programming languages such as Python and R, and experience with relevant libraries.
- Strong understanding of statistical methods and machine learning algorithms applicable to biological data.
- Experience with cloud computing platforms (AWS, GCP, Azure) and containerization (Docker).
- Excellent communication and collaboration skills for effective remote teamwork.
- Highly competitive remote salary and potential for stock options.
- Comprehensive global health coverage.
- Generous home office setup stipend.
- Flexible working hours and unlimited paid time off.
- Access to cutting-edge computational resources and collaborative platforms.
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