Postdoctoral Scientist - Lupu Lab

Position Overview And Responsibilities

The Lupu Lab is seeking a highly motivated Postdoctoral Scientist to join its multidisciplinary research team. The laboratory investigates the biological processes that regulate blood clotting at the interface between circulating blood and the vascular wall, with a particular emphasis on cardiovascular disease. Our research uses clinically relevant animal models and integrates experimental pathology, physiological monitoring, histopathology, immunocytochemistry, electron microscopy, molecular biology, and biochemical assays.

A central focus of the laboratory is understanding the mechanisms of hemostasis and vascular dysfunction. This is a mentored postdoctoral training position designed to support the development of independent research skills, scientific leadership, and expertise in laboratory and project management.

• Plan, design, conduct, and interpret scientific research experiments.
• Develop and test research hypotheses using appropriate experimental and analytical methods.
• Manage assigned research projects, including timelines, documentation, data quality, and coordination with collaborators.
• Participate in the ex vivo analysis research group and contribute to the evaluation of previously collected tissues and biological samples.
• Conduct in vitro cell culture experiments and biochemical and molecular biology assays.
• Perform confocal and fluorescence microscopy and analyze microscopy data.
• Conduct histopathological, immunocytochemical, and other tissue-based analyses.
• Analyze, interpret, summarize, and present experimental findings.
• Maintain accurate and complete laboratory records.
• Prepare manuscripts, abstracts, reports, posters, and presentations for publication and scientific meetings.
• Contribute to grant proposals and future research planning.
• Develop fellowship applications and pursue independent funding opportunities.
• Participate in laboratory management activities and develop progressive competency in research laboratory operations.
• Provide guidance to junior scientists and research staff.
• Collaborate effectively with investigators, laboratory personnel, and interdisciplinary research partners.
• Perform other research-related duties as assigned.

• Processing, integrating, and analyzing single-nucleus RNA sequencing data.
• Conducting cell clustering, annotation, differential expression, pathway, and network analyses.
• Developing and maintaining reproducible bioinformatics workflows.
• Applying statistical, machine-learning, and visualization methods to complex biological datasets.
• Integrating transcriptomic results with experimental, pathological, and physiological findings.
• Documenting analytical methods, code, results, and data-processing decisions.

• Ph.D. in a biological science, chemistry, physics or other relevant area, M.D., or equivalent.
• Knowledge of scientific theory, research principles, and experimental practices.
• Demonstrated ability to formulate and test scientific hypotheses.
• Ability to independently conduct research experiments and analyze, interpret, and summarize data.
• Strong scientific and technical writing skills, including the ability to contribute to manuscripts, reports, fellowship applications, and grant proposals.
• Effective oral and written communication skills.
• Ability and willingness to mentor students and guide the work of junior scientists.
• Strong organizational and project-management skills.
• Ability to work independently while contributing effectively within a collaborative research environment.
• Demonstrated potential to assume leadership and laboratory-management responsibilities.

• Experience with cell culture, biochemical assays, molecular biology techniques, tissue analysis, or microscopy.
• Experience analyzing single-cell or single-nucleus RNA sequencing data.
• Advanced programming and computational skills using tools such as Python, R, or MATLAB.
• Experience with bioinformatics platforms and pipelines, including Seurat, Scanpy, and hdWGCNA.
• Knowledge of machine-learning methods and their application to biological data.
• Experience with Bayesian statistical analysis, including the use of JASP or comparable statistical software.
• Experience developing reproducible computational workflows and managing large biological datasets.
• Evidence of scientific productivity through peer-reviewed publications, presentations, or research awards.

• Independent experimental design and scientific reasoning.
• Manuscript preparation and scientific communication.
• Grant and fellowship writing.
• Research project and laboratory management.
• Mentoring and supervision of junior researchers.
• Development of an independent research program and long-term career goals.

Founded in 1946, the Oklahoma Medical Research Foundation (OMRF) is among the nation’s oldest, most respected independent, nonprofit biomedical…