
Biology Researcher
Posted Sep 19

Posted Sep 19
This is a fully remote position, open to applicants in Oregon.
β’ Assess and analyze AI-generated responses to life-sciences inquiries for scientific validity, clarity, and relevance.
β’ Annotate and rank model outputs to facilitate AI training and enhancement.
β’ Craft expert-level responses to scientific queries as training examples for the model.
β’ Identify errors, misconceptions, or vague outputs and offer corrective suggestions.
β’ Design and create realistic research-based tasks, including scenarios, prompts, supporting documents, and comprehensive grading rubrics.
β’ Execute tasks using AI models and refine based on feedback from expert reviewers.
β’ Adhere strictly to written instructions, including document and upload format specifications.
β’ Maintain consistent quality and productivity throughout the 12-week sprint engagement.
β’ Master's or PhD (or current PhD candidate) in Biology or a closely related field.
β’ Over 3 years of practical experience in drug discovery, computational biology/bioinformatics, or experimental biology.
β’ Excellent written communication abilities; capable of articulating complex concepts clearly and succinctly.
β’ Comfortable working autonomously in a remote, self-directed setting.
β’ Quick to adapt to unfamiliar tasks when provided with written resources or instructions.
β’ Recent or current hands-on individual-contributor experience, rather than purely managerial roles.
β’ Careful attention to written instructions and openness to feedback and revision processes.
β’ Ability to navigate a company data package ranging from 100MB to over 30GB and develop a thorough, accurate understanding rapidly.
β’ Basic technical literacy with cloud file tools, browser profiles, desktop application installation, and routine file management.
β’ Willingness to commit 30β40+ hours per week for the entire 12-week engagement.
β’ General knowledge of LLM applications and the AI landscape.
β’ Professional experience with LLMs such as ChatGPT or Claude in the life sciences sector.
β’ Skill in discerning well-reasoned responses from plausible yet incorrect answers.
β’ Knowledge in biology, oncology, drug discovery, computational biology, experimental biology, artificial intelligence, data entry, biochemistry, research and development, molecular biology, data analysis, chemistry, and cell biology.
β’ Medical, dental, and vision coverage.
β’ Critical Illness, Accident, and Hospital insurance.
β’ 401(k) Retirement Plan β Options for pre-tax and Roth post-tax contributions available.
β’ Life Insurance (Voluntary Life & AD&D for the employee and dependents).
β’ Short-term and long-term disability coverage.
β’ Health Spending Account (HSA).
β’ Transportation benefits.
β’ Employee Assistance Program.
β’ Time Off/Leave (PTO, Vacation, or Sick Leave).
ALB Conciergerie
Meiks Affiliate Tipps
StanMindsetMomentum
LEARN Behavioral
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