Computational Biology Expert (PhD)✦ anywhere

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