Lead Computational Biologist - Machine Learning

About the Role

Our client is seeking an innovative Lead Computational Biologist specializing in Machine Learning to join their fully remote research team. This senior role will be instrumental in developing and deploying cutting-edge ML models to extract biological insights from complex datasets, driving our understanding of disease and therapeutic interventions. You will lead projects, mentor junior team members, and collaborate with a diverse, distributed group of scientists. This is an exceptional opportunity to shape the future of computational biology and contribute to high-impact research within a flexible, remote-first organizational culture.

Key Responsibilities

• Lead the development, implementation, and validation of machine learning models for biological data analysis.
• Design and execute computational experiments to address complex biological questions using ML techniques.
• Collaborate with domain experts (biologists, chemists, clinicians) to identify and scope ML projects.
• Develop robust data pipelines and ensure the reproducibility of computational analyses.
• Mentor junior computational biologists and contribute to the strategic direction of ML in research.

Requirements

• PhD in Computational Biology, Machine Learning, Computer Science, Statistics, or a related quantitative field.
• Minimum of 7 years of experience in computational biology or data science, with a strong focus on machine learning applications.
• Expertise in programming languages such as Python and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Deep understanding of statistical modeling, algorithms, and data mining techniques applicable to biological data.
• Proven ability to lead projects and mentor junior team members.

Benefits

• Highly competitive salary and performance-based incentives.
• Comprehensive health, dental, and vision insurance.
• Generous budget for home office equipment and professional development.
• Flexible working hours and the full advantages of a remote work arrangement.
• Opportunity to work on groundbreaking research with a global impact.