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 datasetsDesign computational experiments to identify patterns and predict outcomesProcess and analyze large, complex biological datasetsCollaborate with scientists to define computational research approachesCommunicate findings through presentations, reports,



and publicationsRequirements: Ph D in computational biology, computer science, bioinformatics, statistics, or related fieldFive years of postdoctoral or industry machine learning experienceStrong Python or R programming and machine learning library experienceExperience with deep learning, random forests, SVMs, and statistical modelingUnderstanding of molecular biology, genomics, or related domainsUse machine learning, biological expertise, and computational analysis to develop insights from complex datasets in a fully remote setting.#J-18808-Ljbffr

📌 Senior Machine Learning Biologist (Kimberley)
🏢 Placements24
📍 Kimberley