Computational Biologist (PhD) for AI Training Job at SaidGig, United States

  • SaidGig
  • United States

Job Description

Role Overview

Apply computational biology expertise to help train and evaluate next-generation AI systems through high-quality, real-world scientific input. You will assess how AI models reason and perform across computational biology use cases, translating biological context into clear, actionable feedback.

Key Responsibilities

  • Evaluate, annotate, and benchmark AI systems for real-world computational biology applications.
  • Assess the accuracy, relevance, and performance of AI-generated outputs in genomics, transcriptomics, and systems biology scenarios.
  • Critically review scientific workflows and computational pipelines, identifying strengths and opportunities for improvement.
  • Collaborate with interdisciplinary teams to provide biologically grounded feedback on AI model performance.
  • Document observations and findings clearly, including scientific rationale and actionable insights.
  • Explain complex concepts in writing and verbally to technical and non-technical stakeholders.
  • Stay current with developments in computational biology, bioinformatics, and machine learning for biology.

Qualifications

  • PhD in Biology, Bioinformatics, or a closely related field, or equivalent industry or research experience.
  • Demonstrated experience in data-driven biological research and computational analysis workflows.
  • Proficiency with Python and Bash. Experience with R and scientific tools such as BWA, GATK, STAR, Salmon, Seurat, or Scanpy is ideal.
  • Strong knowledge of genomics, transcriptomics, structural biology, or systems biology is desirable.
  • Excellent scientific reasoning, analytical, problem-solving, written communication, and verbal communication skills.
  • Comfort working remotely and contributing to distributed teams.

Preferred Qualifications

  • Experience evaluating AI, machine learning, or large language models in a biology context.
  • Hands-on experience with NGS pipelines, CRISPR workflows, AlphaFold, or PyMOL.
  • Published computational biology or bioinformatics research, or open-source project contributions.

Work Terms

  • Remote contract engagement.

Compensation

  • $40 to $60 per hour.

Job Tags

Hourly pay, For contractors, Remote work

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