Conduct clinical pathology activities for preclinical studies, including interpretation of hematology, coagulation, chemistry, urinalysis, cytology, and fluid data. Serve as study clinical pathologist or principal investigator, prepare reports, examine smears, support protocol development, communicate findings to sponsors, develop methods, evaluate instrumentation, train personnel, and provide technical guidance.
Overview
Contribute to all aspects of clinical pathology conducted on nonclinical studies. Collaborate with Study Directors and Study Pathologists to provide comprehensive interpretation of hematology, coagulation, clinical chemistry, and urinalysis data, evaluate cytology of bone marrow and blood smears, and prepare the clinical pathology portions of reports.
Responsibilities- Assist Study Directors in the interpretation of clinical pathology data and preparation of clinical pathology sections in the study reports.
- Serve as Study Clinical Pathologist or Principal Investigator; attend all key activities of preclinical studies regarding clinical pathology, evaluate hematology, coagulation, clinical chemistry, and urinalysis data, and write a comprehensive clinical pathology report.
- Examine bone marrow smears, blood smears, urine, body fluid, and other fluid preparations related to the studies.
- Collaborate with Anatomic Study Pathologists to ensure relevant and appropriate correlations and interpretation for clinical and anatomical pathology findings.
- Contribute to protocol development of research studies.
- Communicate with sponsors to answer questions and discuss results regarding the clinical pathology report.
- Provide expertise in method development and identification and evaluation of new instrumentation. Assist in expanding the array of clinical pathology assays.
- Conduct planned, long-term internal education and training
- Provide expertise and guidance to Clinical Pathology personnel with technical issues.
- Perform other related duties as assigned.
- DVM/VMD (Doctor of Veterinary Medicine) degree or equivalent required. Ph.D. in Clinical Pathology or related discipline preferred.
- ACVP Board Certification in Clinical Pathology required.
- 3+ years of related experience in clinical pathology from contract research organizations.
- Effective written and verbal communication skills.
- Ability to handle multiple projects, prioritize work, and meet deadlines.
This job description does not state or imply that the above are the only duties and responsibilities assigned to this position. Employees holding this position will be required to perform any other job-related duties as requested by Management.
An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Manage behavioral health and substance abuse member cases through assessments, care coordination, treatment planning, provider collaboration, and barrier resolution. Support high-risk members using an integrated care management model, coordinate with treatment teams, educate members about available resources, and participate in interdisciplinary team rounds. This remote role requires Arizona residency and an active, unrestricted behavioral health license.
Top Skills:
ExcelMS OfficeMicrosoft OutlookMicrosoft TeamsMicrosoft Word
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads enterprise AI/ML architecture for LLM, agentic, multi-agent, and RAG applications. Designs scalable, secure, compliant frameworks; remains hands-on with coding and integrations; drives optimization, observability, reliability, governance, and reusable components. Partners with product, engineering, and compliance teams, evaluates emerging AI technologies, and mentors senior engineers. Requires extensive software engineering and AI architecture experience, strong Python skills, cloud and containerization expertise, and experience deploying AI solutions in regulated environments.
Top Skills:
Agentic WorkflowsArizeAWSAzureCi/CdDockerKubernetesLlmsMulti-Agent SystemsNext.JsPhoenixPostgresPythonReactRetrieval-Augmented Generation (Rag)
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Manages provider audit and education operations for healthcare clients, overseeing coding accuracy, documentation quality, compliance, performance improvement, reporting, and client relationships. Leads teams, coaches employees, analyzes audit and operational data, implements process improvements, communicates regulatory updates, and supports client implementations. The role requires regular domestic travel to client sites, approximately 25–35%, while working remotely within the United States.
Top Skills:
ExcelMS OfficeMicrosoft OutlookMicrosoft Powerpoint
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
