PhD Pharmacologist, Toxicologist – Drug Discovery, AI Expert

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🔥 1 hour ago

🌐 United Kingdom, United States – Remote

🇬🇧 United Kingdom – Remote 🇺🇸 United States – Remote

💵 $70 - $100 / hour

⏱ Part Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 20%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 33 days.
• 130 open roles for a team of 134.

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Weekday (YC W21)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

💼 Consulting

👥 HR Tech

☁️ SaaS

Consulting • HR Tech • SaaS

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

📋 Description

• Work with AI research and engineering teams to identify scientific knowledge gaps and improve model performance across drug discovery, pharmacology, toxicology, ADME, and PK/PD • Design domain-specific drug discovery tasks, benchmarks, and training datasets assessing scientific reasoning • Develop structured solutions to complex drug discovery problems, including assay-result interpretation, compound-liability identification, and compound-optimization planning • Evaluate AI-generated outputs and reasoning for scientific logic, factual accuracy, and appropriate use of scientific tools • Provide detailed written feedback to improve the reliability and scientific quality of AI-generated responses • Develop task specifications, grading rubrics, and verification processes for drug discovery data • Assess assay design and quality control, identify experimental failure modes, and validate biological and pharmacological relevance • Review experimental findings and scientific evidence for implications on compound selection and optimization • Collaborate with subject-matter experts to ensure consistency, accuracy, and scientific rigor across AI training datasets

🎯 Requirements

• PhD in Pharmacology, Toxicology, Pharmaceutical Sciences, DMPK, Biochemistry, or a closely related discipline; equivalent research experience may also be considered • At least 3 years of experience in early- to mid-stage drug discovery, pharmacology, DMPK/ADME, or toxicology within a recognized pharmaceutical or biotechnology company, CRO, or academic drug discovery group • Hands-on experience analyzing experimental drug discovery data, including in-vitro ADME and safety assay results, PK/PD studies, CRO-generated assay data and experimental readouts, or LC-MS-based bioanalytical data • Ability to interpret experimental findings and use scientific evidence to guide compound selection, safety assessment, and optimization decisions • Familiarity with PK/PD or data analysis software and scientific AI tools • Strong analytical and problem-solving abilities, with an understanding of drug discovery workflows and experimental methodologies • Excellent written communication skills, including the ability to explain complex scientific concepts and technical decisions clearly • Ability to commit reliably to at least 20 hours per week during weekdays • Applicants must be based in the United Kingdom or on the US East Coast • H-1B and STEM OPT candidates cannot be supported for this opportunity

🏖️ Benefits

• Flexible schedule • Fully remote work arrangement • Weekly payments through Stripe or Wise, based on services rendered • Engagements may be extended, shortened, or concluded early depending on project requirements and performance • Equal employment opportunities • Reasonable accommodations available to qualified applicants upon request

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