Senior Computational Biologist - Machine Learning

About the Role

Our client is a leading innovator in biological research and is seeking an accomplished Senior Computational Biologist specializing in Machine Learning to join their fully remote team. This role is crucial for developing and applying advanced computational models to unlock insights from complex biological datasets, driving progress in areas such as drug discovery and personalized medicine. You will work collaboratively with a distributed team of scientists and engineers, contributing to cutting-edge research and developing next-generation analytical tools. The position offers an unparalleled opportunity to shape the future of biological data analysis from anywhere, working within a company that champions remote collaboration and technological advancement.

Key Responsibilities

• Develop, implement, and refine machine learning algorithms and statistical models for analyzing large-scale biological data (genomics, proteomics, transcriptomics).
• Design and execute computational experiments to identify biomarkers, predict drug response, and elucidate disease mechanisms.
• Build scalable data processing pipelines and integrate diverse biological datasets using cloud-based platforms.
• Collaborate with experimental biologists and clinicians to define research questions and interpret model outputs.
• Present research findings internally and externally, contribute to publications, and mentor junior team members.

Requirements

• A PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related field.
• Significant experience (6+ years) in applying machine learning and statistical modeling to biological data.
• Proficiency in programming languages such as Python (with libraries like scikit-learn, TensorFlow, PyTorch) and R.
• Experience with cloud computing environments (AWS, Azure, GCP) and big data technologies.
• Strong understanding of biological systems, molecular pathways, and common bioinformatics analysis techniques.

Benefits

• Highly competitive salary and performance-based incentives.
• Comprehensive health, dental, and vision insurance coverage.
• Generous allowance for home office setup and professional development.
• Flexible remote working arrangements providing excellent work-life balance.
• Access to leading computational resources and opportunities to publish in top-tier journals.