Agentic Life Science Expert

Hello,

Greetings from Zetta Mine!!!

Role:

Agentic Life Science Expert

Experience:

Ph.D., Postdoctoral Experience, or Equivalent Advanced Research Experience

Mode:
Remote-Freelance

Engagement:
Contractor / Short-Term Contract

Start:
Immediate

Mandatory Eligibility Criteria Technical

Qualification:

• Strong scientific programming skills in Python, command-line tools, scientific libraries, or other relevant computational technologies.
• Experience working in Linux or terminal-based environments.
• Strong knowledge of computational life sciences, scientific computing, computational research methodologies, and multi-step scientific analysis.
• Ability to independently implement, test, debug, and validate computational scientific workflows.
• Ability to independently validate scientific reasoning, calculations, code, intermediate results, and final computational outputs.
• Ability to develop rigorous scientific tasks with clearly defined inputs, expected outputs, constraints, ground truths, and evaluation criteria.
• Experience working with scientific datasets, biological data, computational models, input files, research pipelines, and domain-specific scientific tools.
• Ability to develop and validate multi-step computational workflows involving bioinformatics, genomics, systems biology, neuroscience, biostatistics, drug discovery, biochemistry, structural biology, protein engineering, or microbiology.
• Ability to troubleshoot intermediate results, dependencies, scientific assumptions, computational errors, data-processing issues, and output inconsistencies.
• Ability to develop reproducible and objectively verifiable scientific workflows.
• Ability to design tasks that are self-contained and executable in controlled, network-isolated computational environments.
• Ability to validate scientific outputs for accuracy, consistency, reproducibility, and scientific correctness.

Educational

Qualification:

Mandatory: Ph.D., postdoctoral experience, or equivalent advanced research experience in Life Sciences, with strong demonstrated computational and scientific programming experience.

Preferred: Advanced research or professional experience in Bioinformatics, Computational Genomics, Systems Biology, Computational Neuroscience, Biostatistics, Computational Drug Discovery, Computational Biochemistry, Structural Biology, Protein Engineering, Computational Microbiology, Computational Life Sciences, or related fields.

Availability:

• Full-Time 40 Hours per Week.
• Minimum 4 hours of PST overlap per day.
• Ability to work remotely on a short-term AI training and evaluation project.
• Immediate availability preferred.
• Ability to collaborate with project reviewers and incorporate feedback.
• Availability according to project requirements and deadlines.

Others:

• Personal laptop/desktop and stable high-speed internet.
• Strong written and verbal communication skills.
• Strong scientific programming experience, particularly in Python.
• Experience working with scientific libraries, command-line tools, Linux, and computational research environments.
• Experience performing multi-step computational scientific analyses.
• Experience developing reproducible scientific and research pipelines.
• Ability to ensure computational tasks are self-contained, reproducible, and executable in controlled network-isolated environments.
• Ability to package required dependencies, scientific data, and computational resources within the project environment.
• Strong attention to scientific accuracy, documentation, reproducibility, and computational validation.
• Experience with Docker/Linux environments is preferred.
• Experience with AI agents, coding agents, or scientific AI systems is advantageous.
• Experience building automated evaluation environments, scientific benchmarks, or automated graders is preferred.
• Publication…