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Drug Discovery & Translational Science Expert

$70–$100/hr

Published pay. The final rate depends on your test, experience and country.

United States Language: English Posted 14 Nov 2026

Drug Discovery & Translational Science Expert is AI-training work for biotech researchers, paying $70–$100/hr, open to applicants in United States. Posted 14 Nov 2026, still open on 14 Nov 2026. Zekai lists it for free; the application goes to the employer's platform.

About this role

Preparing for this role? See the best AI tools for biotech researchers, practise with ready-made prompts for biotech researchers, read AI for Pharma Researchers: Tools & Workflows (2026 Guide) and take the free 30-day AI challenge.

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models.

1. Overview

Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented Discovery and Translational Science subject-matter experts (SMEs) from the pharmaceutical and biotech industry to bring deep expertise in drug discovery, target biology, and translating preclinical findings to the clinic and elevate the quality of our AI training data. This is a full-time commitment of 40 hours per week.

This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce.

2. Key Responsibilities
  • Guide research and engineering teams to close knowledge gaps and improve AI model performance in target identification and validation, lead optimization, biomarkers, and preclinical to clinical translation.

  • Design challenging, realistic discovery and translational tasks, such as target validation strategies, assay and screening cascade design, lead optimization problems, biomarker selection and first-in-human translation scenarios, and write accurate, well-structured solutions.

  • Evaluate AI model outputs on drug discovery and translational questions for scientific rigor, experimental design quality and correct interpretation of data, and provide clear, written feedback.

  • Develop guidelines and detailed rubrics to assess hypothesis quality, experimental design, and translational reasoning across tasks.

  • Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

3. Core Qualifications
  • 7+ years of dedicated industry experience in drug discovery or translational science, beyond doctoral and postdoctoral training, at a recognized, top-tier organization (e.g., a top-25 pharmaceutical company such as Pfizer, Merck, Roche, Novartis, AstraZeneca, Johnson & Johnson, AbbVie, Eli Lilly, Bristol Myers Squibb, Sanofi or GSK; a major biotech such as Amgen, Gilead, Genentech, Regeneron, Vertex or Biogen; a leading CRO such as IQVIA, ICON, Parexel, Syneos Health, PPD/Thermo Fisher, Labcorp/Fortrea or Medpace; or a regulator such as the FDA or EMA).

  • PhD (or MD/PhD) in a relevant discipline such as biology, pharmacology, biochemistry or chemistry, with independent research led in an industry setting.

  • Hands-on experience in at least one of: target identification and validation, assay development and screening, lead optimization (medicinal chemistry, DMPK), biomarker strategy, or preclinical to clinical translation (PK/PD, first-in-human dose rationale).

  • Current or most recent role at Associate Director, Principal Scientist or Senior Manager level or above, with demonstrable career progression (e.g., Scientist → Senior Scientist → Principal Scientist → Associate Director → Director).

  • Ability to engage reliably for at least 40 hours/week during weekdays.

  • Experience with AI training or evaluation work, or hands-on use of AI tools in discovery or translational research, is a plus.

  • Strong written communication skills and the ability to explain complex scientific reasoning clearly.

About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives.

Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

Location: United States.

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What to know before you apply

Pay
At the published rate, 10 hours a week would be about $700–$1,000 and 20 hours about $1,400–$2,000 before tax. Hours depend on the project, so treat this as a ceiling, not a promise.
Location
Only applicants located in United States can be paid for this role. Platforms usually verify where you are, so apply only if you are based there.
Credentials
The listing asks for a PhD, a medical degree, 7+ years of experience. Put it in the first line of your profile: reviewers screen for it before anything else.
Timing
This listing is new today. Projects can close once they have enough people, so it is worth applying while it is open.
Test tips for biotech researchers
  • Check mechanisms, doses and study design claims against primary literature.
  • Be explicit about evidence levels: preclinical, phase I–III, approved.
  • Flag regulatory errors (FDA/EMA pathways) as carefully as scientific ones.
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  1. 01

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    Practise with real prompts

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    Summarize Target-Disease Association

    Act as a molecular biologist. I am investigating [[DISEASE_NAME]], a [[DISEASE_TYPE]] disorder. My proposed target is [[PROTEIN_NAME]] (UniProt: [[UNIPROT_ID]]). Based on publicly available literature up to your last update, prov…

    Generate a Target Dossier Brief

    Act as a drug discovery project lead. Create a target dossier brief for [[GENE_SYMBOL]] in the context of [[THERAPEUTIC_AREA]]. The brief should be a maximum of 500 words and formatted for a slide presentation. Include the follow…

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