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Computational Biology & Genomics Analyst

Work from home Full-time role Hiring

Job Title: Computational Biology & Genomics Analyst Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities:

  • Review and assess analytical rubrics for computational genomics projects, ensuring they meet scientific and operational standards.
  • Evaluate sequence alignment strategies and assess the effectiveness of CRISPR design tools.
  • Interpret and synthesize results from integrated sequence and experimental datasets.
  • Collaborate with multidisciplinary teams to recommend data-driven improvements and best practices.
  • Document findings and provide clear, actionable written feedback to stakeholders.
  • Contribute to the development of guidelines and standards for sequence analysis and data integration.
  • Stay abreast of advances in computational biology, genomics, and associated data technologies.

Required Skills and Qualifications:

  • Expertise in sequence alignment techniques and familiarity with tools for CRISPR design.
  • Proven experience interpreting large-scale genomics and experimental data.
  • Strong proficiency with platforms that integrate sequence and experimental datasets.
  • Exceptional written and verbal communication skills, with attention to clarity and detail.
  • Demonstrated experience as a rubric reviewer or in a related quality assurance capacity.
  • Ability to work independently in a remote, fast-paced environment.
  • Advanced degree in computational biology, bioinformatics, genomics, or a related field.

Preferred Qualifications:

  • Experience with designing or evaluating novel CRISPR-based experiments.
  • Track record of contributing to bioinformatics pipeline development or standardization initiatives.
  • Familiarity with regulatory or quality frameworks in genomics research.

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