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Research Scientist II (LLM Evaluation Expert - Domain: Biology)

Job ID: 25-07921
100% Remote
Pay rate range - $45/hr. to $48/hr. on W2

Must Have
Advanced degree (Ph.D. preferred) in Biology or a closely related field
Extensive experience (5+ years) in Biology research, problem-solving, or applied Biology across multiple subfields
Previous experience working with or evaluating AI systems, particularly in the context of mathematical problem-solving

Company Overview:
Artificial General Intelligence (AGI) Data Services is at the forefront of AI innovation, specializing in the development and refinement of large language models (LLMs).
Our mission is to create AI systems that can understand and generate high-quality code, revolutionizing the software development landscape.
 
Job Description:
As an LLM Evaluation Expert specializing in Biology, you will play a crucial role in assessing and improving our language models' Biology capabilities. Your expertise will be instrumental in evaluating LLM-generated Biology solutions, making high-level judgments, and setting the standard for what constitutes excellent AI-assisted Biology problem-solving.
 
Key Responsibilities:
• Critically analyze and evaluate Biology responses generated by our LLMs across various fields of Biology
 • Exercise expert judgment to select the most appropriate and efficient Biology solutions from multiple LLM-generated options
• Make informed decisions on behalf of our customers, ensuring that selected solutions meet rigorous Biology standards, are logically sound, and address specific research or application needs
• Develop and write Biology demonstrations to illustrate "what good looks like" in AI-generated solutions, setting benchmarks for accuracy, elegance, and insight
• Provide detailed feedback and explanations for your evaluations, helping to refine and improve the LLM's understanding and output of Biology concepts
• Collaborate with the AI research team to identify areas for improvement in the LLM's reasoning and problem-solving capabilities
• Stay abreast with the latest developments in Biology and AI to ensure our evaluations remain cutting-edge
• Using your expertise, to provide step-by-step solutions and explanations to complex problems in Biology. This includes inductive/deductive reasoning, experimental design, data interpretation, and systems-level thinking.

Required Qualifications:
• Advanced degree (Ph.D. preferred) in Biology or a closely related field
• Extensive experience (5+ years) in Biology research, problem-solving, or applied Biology across multiple subfields
• Demonstrated ability to critically evaluate Biology proofs, solutions, and reasoning for correctness, efficiency, and elegance
• Strong analytical and decision-making skills, with the ability to make complex judgments in abstract and theoretical contexts
• Excellent written and verbal communication skills, with the ability to explain complex Biology concepts clearly
• Experience in technical writing, particularly in creating mathematical proofs, explanations, or tutorials

Preferred Qualifications:
• Previous experience working with or evaluating AI systems, particularly in the context of mathematical problem-solving
• Familiarity with computer algebra systems, numerical computing environments, and mathematical software packages
• Understanding of machine learning concepts, particularly as they apply to mathematical reasoning and problem-solving
• Experience in creating or contributing to Biology textbooks, research papers, or educational content.
This role requires a unique blend of Biology expertise, critical thinking, and communication skills. You will be the bridge between advanced AI technology and practical, real-world applications in Biology. Your work will directly influence the development of next-generation AI Biology assistants, potentially transforming fields such as scientific computing, data analysis, and Biology research.
If you're passionate about Biology, have a keen eye for elegant solutions, and are excited about the potential of AI in advancing the understanding of Biology we encourage you to apply for this pivotal role at AGI Data Services.
 
 
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