Fully remote Senior Computational Biologist work centers on machine learning and biological data analysis across complex datasets. Apply Python or R to advance computational research.
This senior position focuses on applying machine learning to biological problems. You will analyze genomics, transcriptomics, and proteomics data while collaborating with biologists, chemists, and data scientists. The work supports insights relevant to drug discovery and personalized medicine.
Key Responsibilities: Develop and optimize machine learning models for biological datasets
Design computational experiments to identify patterns and predict outcomes
Process and analyze large, complex biological datasets
Collaborate with scientists to define computational research approaches
Communicate findings through presentations, reports,



and publications
Requirements: PhD in computational biology, computer science, bioinformatics, statistics, or related field
Five years of postdoctoral or industry machine learning experience
Robust Python or R programming and machine learning library experience
Experience with deep learning, random forests, SVMs, and statistical modeling
Understanding of molecular biology, genomics, or related domains
Use machine learning, biological expertise, and computational analysis to develop insights from complex datasets in a fully remote setting.

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📌 Senior Machine Learning Biologist (British Columbia)
🏢 Placements24
📍 British Columbia