Post Doctoral - Bioinformatics
Ames, United States, Iowa
USD 40K-66K (estimate) Entry-level Full Time
Tasks
- Analyze protein sequence structure and function
- Apply machine learning for protein design
- Apply version control and code review
- Automate workflow execution
- Build data infrastructure and metadata standards
- Collaborate with cross functional scientists
- Communicate findings in reports and presentations
- Conduct protein homology analysis
- Create bioinformatics workflows
- Create structural modeling workflows
- Develop computational pipelines
- Develop software tools and analytical pipelines
- Ensure data governance and ethical data use
- Manage and curate datasets for machine learning
- Mentor junior scientists and promote best practices
- Perform comparative genomics analysis
- Use testing and documentation best practices
Perks/Benefits
Skills/Tech-stack
Artificial Intelligence | Bioinformatics | Comparative Genomics | Computational Biology | Data Curation | Git | High Performance | High-Performance Computing | Learning Data | Machine Learning | Machine learning data | Metadata Management | Performance Computing | Protein Design | Protein Engineering | Protein Homology | Protein Sequence | Protein Structure Analysis | Protein modeling | Protein sequence analysis | Protein structure | Python | R | Sequence analysis | Structural Biology | Structure analysis | Workflow automation
Education
Roles
Bioinformatics Scientist | Fellow | Postdoctoral Fellow | Scientist
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