Senior Systems Biologist

About the Role

Our client is seeking an experienced Senior Systems Biologist to join their innovative research team. This role embraces a hybrid work model, blending remote data analysis and modeling with on-site collaborative discussions and experimental integration. You will be responsible for developing and applying computational and mathematical models to understand complex biological systems, aiming to predict cellular behavior and guide experimental design. This position is crucial for driving mechanistic insights and requires a strong analytical mindset, deep biological knowledge, and the ability to bridge computational and experimental biology within a dynamic team environment.

Key Responsibilities

• Develop and implement mathematical and computational models of biological systems.
• Analyze large-scale omics data (genomics, transcriptomics, proteomics) to inform model development.
• Integrate diverse data types to build comprehensive models of cellular pathways and networks.
• Collaborate with experimental biologists to design validation experiments and interpret results.
• Communicate complex modeling findings to both technical and non-technical audiences.
• Stay current with advancements in systems biology, computational modeling, and relevant biological fields.

Requirements

• Ph.D. in Systems Biology, Computational Biology, Bioinformatics, Biophysics, or a related quantitative field.
• 5+ years of experience in developing and applying computational models to biological problems.
• Proficiency in programming languages (e.g., Python, R, MATLAB) and relevant modeling software.
• Strong understanding of cell biology, molecular biology, and/or biochemistry.
• Experience with statistical analysis and machine learning techniques.
• Excellent problem-solving skills and the ability to work effectively in a hybrid research setting.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional development and learning.
• Flexible hybrid work schedule.
• Collaborative and stimulating research environment.
• Contribution to impactful scientific research.