Preclinical R&D Scientist - Drug Expert
关于工作的职位，默科尔将精英创意和技术人才与领先的人工智能研究实验室联系起来。总部位于旧金山，我们的投资者包括 Benchmark,General Catalyst,Peter Thiel,Adam D'Angelo,Larry Summers 和 Jack Dorsey.职位：临床前研发专家 内部药物开发类型：合同补偿：85美元~142美元/小时 地点：远程角色责任 ·审查你在专业领域的技术材料和实际的研发数据以提高人工智能模型性能。·标签，分类和注释科学数据和模型输出来提高模型准确性。·提供专家观点对关键的科学和发展决策，包括目标和模式选择。· 帮助定义客户数据集管道的结构和质量标准。· 参加专家讨论，面试和研究参与以指导人工智能平台开发。必须有资格。· 在公司开发自己的药物产品中实践，非行政临床研发经验。· 在核心研发功能工作：发现生物学，医疗化学，蛋白质/抗体工程，计算，内存/翻译，药理学/PK-PD,毒理学或 CMC/配方。· 经验实践使用一种或多种药物模式 （小分子，单抗体，化物，ADCs,二元特异性，mRNA,siRNA,ASOs,PROTAC,分子粘合剂，细胞疗法，基因疗法，无线电联结疗法等）. · 5年以上相关行业研发经验。优先 •通过领导优化或 IND-启用/临床开发进行课程的经验。· 中型，新兴或资源有限的生物技术的经验；申请过程 （需要20~30分钟才能完成）· 上传 · AI 面试根据简历表格提交简历表资料和支持 ·有关程序和平台信息详细请查看：咨询：我们每天都会对应用程序进行审查。请完成 AI 面试，并考虑申请步骤。原始地发布在喜马拉雅山脉
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About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Preclinical R&D Expert – In-house Drug Development
Type:Contract
Compensation:$85–$142/hour
Location:Remote
Role Responsibilities
- Review technical materials and real-world R&D data in your area of expertise to improve AI model performance.
- Label, classify, and annotate scientific data and model outputs to enhance model accuracy.
- Provide expert perspective on key scientific and development decisions, including target and modality selection.
- Help define structure and quality standards for the client's dataset pipeline.
- Participate in expert discussions, interviews, and research engagements to guide AI platform development.
Qualifications
Must-Have
- Hands-on, non-administrative preclinical R&D experience at a company that develops its own drug assets.
- Work in a core R&D function: discovery biology, medicinal chemistry, protein/antibody engineering, computational, in vivo/translational, pharmacology/PK-PD, toxicology, or CMC/formulation.
- Hands-on experience with one or more drug modalities (small molecules, monoclonal antibodies, peptides, ADCs, bispecifics, mRNA, siRNA, ASOs, PROTACs, molecular glues, cell therapies, gene therapies, radioligand therapies, etc.).
- 5+ years of relevant industry R&D experience.
Preferred
- Experience taking a program through lead optimization or IND-enabling/preclinical development.
- Experience at mid-sized, emerging, or resource-constrained biotech.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check:
- For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas