Lead Data Scientist - Genomics
Cape Town, 7561, South Africa
Listed on 2026-10-18
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IT/Tech
Data Scientist, Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Analyst
Our client is seeking a visionary Lead Data Scientist with a specialization in Genomics to spearhead their data-driven research initiatives from a remote setting. This position offers a unique opportunity to shape the future of genomic data analysis within a forward-thinking organization. You will lead a team of data scientists and bioinformaticians, define the analytical roadmap, and drive the implementation of advanced machine learning models to extract novel insights from large genomic datasets.
This role requires exceptional technical leadership, deep domain expertise in genomics, and a passion for translating complex data into strategic business and scientific decisions. You will work in a fully remote, highly collaborative environment, contributing to significant advancements in precision medicine and biological research.
- Lead and mentor a team of data scientists and bioinformaticians focused on genomic data analysis.
- Develop and deploy scalable machine learning models for variant interpretation, disease prediction, and patient stratification.
- Define the strategic direction for genomic data science initiatives and collaborate with stakeholders to align on research goals.
- Architect robust data pipelines for processing and analyzing massive genomic datasets.
- Present complex findings and technical strategies to both technical and non-technical audiences.
- Master's or Ph.D. in Data Science, Statistics, Computer Science, Bioinformatics, or a related field.
- Extensive experience (7+ years) in data science, with a significant focus on genomics and NGS data analysis.
- Proven track record of leading data science teams and managing complex projects.
- Expertise in programming languages (Python, R) and ML libraries (Tensor Flow, PyTorch, scikit-learn).
- Deep understanding of statistical modeling, machine learning algorithms, and data mining techniques.
- Highly competitive salary and performance-based bonuses.
- Significant influence on the company's research direction and technological strategy.
- Remote work environment with flexible hours.
- Comprehensive health and wellness benefits package.
- Opportunities for continuous learning and professional growth in a cutting-edge field.
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