Senior Computational Biologist - Machine Learning

About the Role

Our client is actively seeking a talented Senior Computational Biologist with a strong background in Machine Learning to join their cutting-edge research team. This is a fully remote opportunity, allowing you to contribute to significant scientific advancements from anywhere. You will play a key role in developing and applying advanced ML algorithms to complex biological datasets, including genomics, transcriptomics, and proteomics, to uncover new biological insights and drive therapeutic development. This role is perfect for an innovative thinker who thrives on solving challenging biological questions using data-driven approaches and wants to make a substantial impact on human health.

Key Responsibilities

• Develop, implement, and validate machine learning models for the analysis of high-dimensional biological data.
• Apply ML techniques to identify disease signatures, predict drug responses, and uncover novel biological pathways.
• Collaborate closely with experimental biologists, bioinformaticians, and data scientists to define research questions and design data analysis strategies.
• Process, clean, and integrate diverse biological datasets from various sources.
• Communicate complex findings clearly and concisely to both technical and non-technical audiences.
• Contribute to the development of research strategy and the exploration of new computational approaches.

Requirements

• Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
• 5+ years of experience applying machine learning techniques to biological problems.
• Proficiency in programming languages commonly used in data science, such as Python or R, and relevant ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong understanding of biological principles and experience analyzing omics data (genomics, transcriptomics, proteomics).
• Demonstrated ability to develop and deploy robust ML models in a research setting.
• Excellent communication and collaboration skills, with experience working in a remote environment.

Benefits

• Highly competitive salary and potential for stock options.
• Comprehensive health, dental, and vision insurance.
• Flexible and remote working environment with generous home office support.
• Generous paid time off and holidays.
• Access to extensive computational resources and cloud computing platforms.
• Opportunities for continuous learning and professional growth.