病理研究科学家（合同）
Pathology Research Scientist (contract)
关于Rancho BioSciences, LLC
Rancho BioSciences是一家位于圣地亚哥的生物医学数据整理和数据科学服务提供商，为制药和生物科技公司提供从药物发现到转化研究的服务。我们的科学家、数据工程师和软件专家团队提供端到端的解决方案，涵盖数据整理、管理、挖掘和分析，帮助客户加速研发。我们与蓝筹客户和新兴生物科技公司建立长期合作关系，为每个项目带来科学严谨性、高质量和以客户为中心的理念。
关于该职位
我们正在寻找一位经验丰富的病理学研究科学家，以兼职合同制的方式加入我们。该职位需要在生物标志物发现、诊断开发和计算病理学项目中提供专业知识，支持从转化研究到临床开发的各类项目。
该职位需要在外科病理学、数字病理学和基于组织的检测方面有深入的专业知识，并与内部及面向客户的团队在生物标志物、组织技术/平台科学、数据科学和AI/ML领域密切合作。病理学研究科学家将确保多个药物开发和诊断项目中的科学严谨性、临床相关性和符合监管要求的做法。
该职位为完全远程办公，但优先考虑位于美国东海岸、西欧或亚太地区的申请人。
你将负责
- 作为生物标志物和诊断项目的病理学主题专家（SME），包括伴随诊断、分子病理学、数字病理学及相关数据科学服务。
- 通过关键文献综述和原始数据的综合，提供科学指导，包括同行评审的出版物、疾病分期和分级系统以及已建立的病理学参考标准。
- 通过将临床和组织病理学知识转化为模型设计、训练、验证和解释的可操作指导，支持计算病理学和AI/ML项目。
- 制定与疾病和适应症相关的标注指南，包括相关的组织区域、细胞特征、形态模式和常见的技术伪影。
- 使用经过验证的平台执行或审核数字切片标注；根据项目要求，提供同行评审、质量控制和对人工及算法生成标注的书面验证。
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About Rancho BioSciences, LLC
Rancho BioSciences is a San Diego–based provider of biomedical data curation and data science services for pharma and biotech, spanning drug discovery through translational research. Our teams of scientists, data engineers, and software experts deliver end-to-end solutions across data curation, management, mining, and analysis to help customers accelerate R&D. We partner long-term with blue-chip clients and emerging biotechs, bringing scientific rigor, quality, and a customer-first mindset to every engagement.
About the role
We are seeking an experienced Pathology Research Scientist to join us on a part-time, contractor basis. This individual will provide subject-matter expertise across biomarker discovery, diagnostic development, and computational pathology initiatives, supporting programs spanning translational research through clinical development.
The role requires deep expertise in surgical pathology, digital pathology, and tissue-based assays, and close collaboration with internal and client-facing teams in biomarkers, histotechnology/platform science, data science, and AI/ML. The Pathology Research Scientist will help ensure scientific rigor, clinical relevance, and regulatory-appropriate practices across multiple drug development and diagnostic programs.
The role will be fully remote, however preferred applicants are based on the US East Coast, Western Europe, or in the Asia-Pacific Region.
What you'll do
- Serve as a pathology subject-matter expert (SME) for biomarker and diagnostic programs, including companion diagnostics, molecular pathology, digital pathology, and associated data science services.
- Provide scientific guidance through critical literature review and synthesis of primary source data, including peer-reviewed publications, disease staging and grading systems, and established pathology reference standards.
- Support computational pathology and AI/ML initiatives by translating clinical and histopathologic knowledge into actionable guidance for model design, training, validation, and interpretation.
- Define disease- and indication-specific annotation guidelines, including relevant tissue compartments, cellular features, morphologic patterns, and common technical artifacts.
- Perform or review digital slide annotations using validated platforms; provide peer review, quality control, and written validation of human- and algorithm-generated annotations in accordance with project requirements.
- Support computational pathology and ML/AI teams through the translation of clinical and histopathologic knowledge into actionable guidance for model development, validation, and deployment.
- Collaborate cross-functionally to ensure pathology-derived outputs are clinically meaningful, analytically sound, and fit-for-purpose within research and development workflows.
Qualifications
- MD/DO, MBBS, or equivalent, with board certification or board eligibility in Anatomic Pathology (AP) or Anatomic and Clinical Pathology (AP/CP).
- Surgical pathology subspecialty training or certification strongly preferred.
- Experience in clinical trials, translational research, or drug development & creation strongly preferred.
- Demonstrated experience working within cross-functional, multi-stakeholder project teams with successful delivery against multiple competing priorities and quick turnaround expectations.
- Hands-on experience with digital pathology platforms and AI-enabled or computational pathology workflows strongly preferred.
- Demonstrated ability to draft, review, and quality-check research protocols and procedural documents with attention to detail and scientific rigor.
- Ability to work within sponsor-provided systems, environments, and data governance requirements.
- Advanced degree (e.g., MS, MPH, or PhD) in a life sciences discipline is a plus.
Originally posted on Himalayas