About the Company
micro1 connects skilled professionals with global companies, enabling high-impact remote work opportunities across AI-driven and scientific research teams.
Role Overview
Join our customer's team as a Computational Biology & Genomics Analyst and contribute to advancing genomics research and AI training initiatives.
In this expert-level role, you will evaluate complex biological datasets, review analytical frameworks, and help establish high standards for bioinformatics and genomics workflows. Your work will directly influence data quality, experimental design, and AI model training in the life sciences domain.
Key Responsibilities
- Review and assess analytical rubrics for computational genomics projects
- Evaluate sequence alignment strategies and CRISPR design tools
- Interpret and synthesize results from large-scale genomic and experimental datasets
- Collaborate with multidisciplinary teams to improve data workflows and best practices
- Document findings and provide clear, actionable feedback
- Contribute to the development of guidelines and standards for genomics analysis
- Stay updated on advances in computational biology and genomics technologies
Required Skills & Qualifications
- Expertise in:
- Sequence alignment techniques
- CRISPR design tools
- Experience analyzing large-scale genomics and experimental datasets
- Familiarity with data integration platforms for biological data
- Strong written and verbal communication skills
- Experience in rubric evaluation or quality assurance workflows
- Ability to work independently in remote environments
- Advanced degree in:
- Computational Biology
- Bioinformatics
- Genomics
- or related field
Preferred Qualifications
- Experience designing or evaluating CRISPR-based experiments
- Background in bioinformatics pipeline development or standardization
- Familiarity with regulatory or quality frameworks in genomics
Work Details
- Work Type: Fully remote
- Engagement: Contractor
- Collaborative, interdisciplinary research environment
Additional Notes
- Ideal for experts in genomics and bioinformatics interested in AI applications
- Opportunity to shape standards and workflows in computational biology and AI-driven research