[0619PJXS] Agentic Life Science Expert

Hello,

Greetings from ZettaMine!!!

Freelancing Opportunity :- We are currently hiring Agentic Life Science Experts for a short-term AI training and evaluation project across Argentina, Bangladesh, Brazil, Colombia, Egypt, Nigeria, Ghana, India, Indonesia, Turkey, Chile, Peru, Sri Lanka, Saudi Arabia, Nepal, and Mexico.

Role: Agentic Life Science Expert

Experience: Ph.D., Postdoctoral Experience, or equivalent research experience in Life Sciences with strong computational and scientific programming experience

Mode of Work: Remote

Engagement: Full-Time – 40 Hours/Week

Start Date: Immediate

Description

We are seeking Computational Life Sciences Experts with strong scientific programming skills to develop complex and realistic tasks for Agentic Life Sciences.

The work involves designing tasks where AI agents must independently navigate scientific data, write and execute code, use computational tools, troubleshoot intermediate results, and produce scientifically valid final outputs.

The goal is to evaluate whether AI systems can perform authentic multi-step scientific work, rather than simply answer scientific questions.

Environment

• Tasks are executed in controlled computational environments and must be self-contained and reproducible.
• Depending on the scientific workflow, tasks may use Python, command-line tools, scientific libraries, or domain-specific software.
• Experts should design tasks whose required dependencies, data, and computational resources can be reliably packaged and evaluated within the project environment.
• Tasks must be executable in controlled, network-isolated computational environments.

Responsibilities

• Design challenging and realistic agentic scientific workflows across the life sciences.
• Create tasks requiring multiple computational steps rather than single-script or simple question-and-answer solutions.
• Develop realistic input files, scientific datasets, instructions, constraints, and expected deliverables.
• Build tasks requiring AI agents to inspect data, select appropriate methods, execute analyses, troubleshoot problems, and synthesize results.
• Create reproducible expert solutions and objectively verifiable ground truths.
• Design robust automated or semi-automated grading criteria.
• Ensure tasks measure scientific reasoning and execution rather than memorization.
• Validate scientific assumptions, calculations, code, intermediate outputs, and final answers.
• Ensure tasks are self-contained and executable in controlled computational environments.
• Maintain high quality and throughput while incorporating reviewer feedback.

Core Life Science Domains

• Bioinformatics
• Computational Genomics
• Systems Biology
• Computational Neuroscience
• Biostatistics
• Computational Drug Discovery
• Computational Biochemistry
• Structural Biology
• Protein Engineering
• Computational Microbiology
• Computational Life Sciences

Requirements

• Ph.D., postdoctoral, or equivalent research experience in Life Sciences, with strong demonstrated computational and scientific programming experience.
• Strong scientific programming experience, particularly in Python.
• Experience performing multi-step computational scientific analyses.
• Ability to independently validate both scientific reasoning and computational outputs.
• Strong understanding of scientific workflows and computational research methodologies.
• Ability to develop reproducible and objectively verifiable scientific tasks.

Preferred

• Expertise in one or more areas including bioinformatics, computational genomics, systems biology, computational neuroscience, biostatistics, computational drug discovery, computational biochemistry, structural biology, protein engineering, or computational microbiology.
• Experience with scientific libraries and command-line tools.
• Experience creating reproducible research pipelines.
• Ability to translate authentic research workflows into bounded and objectively gradable tasks.

Bonus Points

• Experience with AI agents, coding agents, or scientific AI systems.
• Experience building automated evaluation environments.
• Familiarity with Docker/Linux environments.
• Publications involving computational or data-intensive life sciences research.
• Experience designing scientific benchmarks or automated graders.

Availability

• Full-Time – 40 Hours per Week
• Minimum 4 hours of PST overlap per day
• Immediate availability preferred

Interested candidates kindly share your updated CV to raviteja.k@zettamine.com

Thanks & Regards,

RaviTeja K

ZettaMine