Computational Biologist for AI Model Evaluation [Remote]

In this role, you will leverage your expertise in computational biology to train next-generation AI systems. Your contributions will directly influence how these models learn, reason, and perform by providing high-quality, real-world input. Key Responsibilities:

• Utilize your biology domain expertise to evaluate, annotate, and benchmark AI systems in real-world computational biology applications.
• Assess the accuracy, relevance, and performance of AI-generated outputs in genomics, transcriptomics, and systems biology contexts.
• Apply advanced analytical reasoning to critically review scientific workflows and pipelines, identifying strengths and areas for enhancement.
• Collaborate with interdisciplinary teams, offering feedback on AI model performance from a biological perspective.
• Document observations and findings clearly, emphasizing scientific rationale and actionable insights.
• Effectively communicate complex concepts through both written and verbal channels to technical and non-technical stakeholders.
• Stay informed on emerging trends in computational biology, bioinformatics, and machine learning within the biological field.

• PhD in Biology, Bioinformatics, or a closely related field, or equivalent industry/research experience.
• Proven experience in data-driven biological research and computational analysis workflows.
• Proficiency in scripting languages (Python, R, Bash) and scientific tools such as BWA, GATK, STAR, Salmon, Seurat, or Scanpy is ideal.
• Deep understanding of genomics, transcriptomics, structural biology, or systems biology is desirable.
• Excellent scientific reasoning, analytical, and problem-solving skills.
• Strong written and verbal communication abilities, with the capacity to articulate findings and collaborate effectively.
• Comfortable working remotely and contributing to distributed teams.

• Experience with AI/ML or LLM evaluation in a biological context.
• Hands-on experience with NGS pipelines, CRISPR workflows, AlphaFold, or PyMOL.
• Published research or contributions to open-source projects in computational biology or bioinformatics.

Contract position, fully remote.

Hourly rate ranging from $20 to $60.

Open to candidates with relevant qualifications and experience.