Senior Computational Biologist

Tasks

• Benchmark and evaluate models
• Build data source knowledge
• Communicate findings to stakeholders
• Conduct in silico experiments
• Define and execute benchmarks
• Develop reusable software code
• Formulate computational biology projects
• Implement data science algorithms
• Interpret results
• Maintain data quality and metadata
• Own project delivery
• Perform quality assurance
• Recommend analytics automation
• Select algorithms and infrastructure
• Share knowledge within team
• Stay current with methods
• Use R or Python to develop models

Perks/Benefits

• Flexible work arrangements
• Hybrid work

Skills/Tech-stack

Bioinformatics | Business Data Analytics | Business Intelligence | Business data | Cloud Computing | Computational Biology | Data Engineering | Data Modeling | Data Science | Data Visualization | Data analytics | Database Design | Git | HPC | Immunochemistry | Lab techniques | Machine Learning | Protein Methods | Python | R | Structural Biology | Version control | Waterfall model | Wet lab | Wet lab techniques