Biology Researcher

Aston Carter

. Review and evaluate AI-generated responses to life-sciences prompts for scientific accuracy, clarity, and appropriateness .

Posted 9/19/2026contractRemote • Oregon • United StatesMid-LevelSenior💰 $75 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in evaluating AI-generated responses for scientific accuracy and clarity, with a strong foundation in Biology and related fields. Proficient in annotating model outputs and providing corrective guidance while maintaining high-quality standards in a remote work environment.

Highest-signal resume keywords

PhD In Biology Or Related Field3+ Years In Drug DiscoveryExpert-Level Scientific WritingExperience With LLMs In Life SciencesStrong Written Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Drug DiscoveryComputational BiologyExperimental BiologyData AnalysisBiochemistryMolecular BiologyChemistryCell BiologyAI EvaluationResearch And Development

Soft Skills

Independent WorkAttention To DetailReceptiveness To FeedbackAbility To Explain Complex ConceptsJudgment In Evaluating Answers

Tools & Technologies

Cloud File ToolsDesktop App InstallationFile HandlingBrowser Profiles

Industry Keywords

Artificial IntelligenceLife SciencesOncologyData Entry

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Review and evaluate AI-generated responses to life-sciences prompts for scientific accuracy, clarity, and appropriateness
Annotate and rank model outputs to guide AI training and improvement
Write expert-level answers to scientific questions as model training examples
Flag errors, misconceptions, or ambiguous outputs and provide corrective guidance
Propose, design, and build realistic research-based tasks, including scenarios, prompts, supporting input files, and detailed grading rubrics
Run tasks against AI models and iterate based on expert reviewer feedback
Follow written instructions precisely, including document and upload format requirements
Maintain consistent quality and throughput throughout the 12-week sprint engagement

Requirements

What you’ll need

Master’s or PhD (or current PhD candidate) in Biology or a directly related field
3+ years of hands-on experience in drug discovery, computational biology/bioinformatics, or experimental biology
Strong written communication skills; ability to explain complex concepts clearly and concisely
Comfortable working independently in a remote, self-directed environment
Ability to ramp quickly on unfamiliar work when provided written material or instructions
Current or recent hands-on individual-contributor experience, not solely managerial experience
Careful reading of written instructions and receptiveness to feedback and revision cycles
Ability to orient in a company data package of 100MB to 30GB+ and build an accurate, deep working picture quickly
Baseline tech literacy with cloud file tools, browser profiles, desktop app installation, and everyday file handling
Availability to commit 30–40+ hours per week for the full 12-week engagement
General understanding of LLM use and the AI landscape
Professional experience using LLMs such as ChatGPT or Claude in life sciences
Judgment to distinguish well-reasoned answers from plausible-sounding but incorrect answers
Biology, oncology, drug discovery, computational biology, experimental biology, artificial intelligence, data entry, biochemistry, research and development, molecular biology, data analysis, chemistry, and cell biology knowledge

Benefits

Comp & perks

Medical, dental & vision
Critical Illness, Accident, and Hospital
401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
Life Insurance (Voluntary Life & AD&D for the employee and dependents)
Short and long-term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)