Computational Biology Expert (PhD)

Job Title: Computational Biology Expert (PhD) 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. Key Responsibilities: - Leverage your biology domain expertise to evaluate, annotate, and benchmark AI systems in real-world computational biology use cases. - Assess the accuracy, relevance, and performance of AI-generated outputs in genomics, transcriptomics, and systems biology scenarios. - Apply advanced analytical reasoning to critically review scientific workflows and pipelines, identifying strengths and areas for improvement. - Collaborate with interdisciplinary teams, providing feedback on AI model performance based on biological context. - Document observations and findings with clarity, highlighting scientific rationale and actionable insights. - Communicate complex concepts effectively through both written and verbal channels to technical and non-technical stakeholders. - Stay current on emerging trends in computational biology, bioinformatics, and machine learning in biology. Required Skills and Qualifications: - 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 with scripting (Python, R, Bash) and scientific tools such as BWA, GATK, STAR, Salmon, Seurat, or Scanpy would be ideal. - Deep understanding of genomics, transcriptomics, structural biology, or systems biology is desirable. - Excellent scientific reasoning, analytical, and problem-solving abilities. - Strong written and verbal communication skills, with the ability to articulate findings and collaborate effectively. - Comfort working remotely and contributing to distributed teams. Preferred Qualifications: - Experience with AI/ML or LLM evaluation in a biology 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. Originally posted on Himalayas