Postdoctoral Scientist – Lupu Lab
Listed on 2026-08-12
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Research/Development
Research Scientist, Biomedical Science, Biotech Research, Data Scientist
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
Key Responsibilities- The Postdoctoral Scientist will 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
- The successful candidate will contribute to the bioinformatics analysis of single nucleus RNA sequencing datasets
- Responsibilities may include 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
- PhD in a biological science chemistry physics or other relevant area MD 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
- Mentorship in 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 nations oldest most respected independent nonprofit…
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