Important Info
Interested applicants should send a to Dr. Maneesh Kumar Misra at mkmisra@stanford.edu with the subject line entitled "Postdoctoral Fellow - Application - Applicant's Name".
We are seeking a highly motivated and skilled postdoctoral researcher with demonstrated publication record in stem cell biology, developmental biology, organoid biology, tissue engineering, or a closely related field. The successful candidate will develop, optimize, and apply scalable 3D hPSC-derived models, integrating stem cell differentiation and developmental biology with tissue engineering approaches to generate physiologically relevant human experimental systems for disease modeling, drug discovery, and therapeutic development.
Learning Objectives
Gain skills in stem cell and tissue organoid model development, immunogenomics, immune repertoire analysis, single cell, multi-omics, and bioinformatics. Develop expertise in study design, data analysis, data interpretation, presentation at internal meetings and external conferences, manuscripts and grant writing.
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Individuals with a recent MD or PhD degree with experience in developing, optimizing, and characterizing hPSC-derived 3D cell and tissue models. Relevant expertise includes hPSC culture and directed differentiation, 3D cell culture, organoid generation, microphysiological systems, microfluidics, and quantitative characterization of engineered tissues.
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Prior experience developing cardiac, kidney, vascularized tissue model, or other hPSC-derived organoid models is particularly desirable.
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A candidate who has recently submitted the PhD thesis or is about to submit the thesis is encouraged to apply.
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Immunological Techniques: Human immune cell isolation and culture, functional immune assays, including T-cell activation, B-cell differentiation, cytokine profiling, ELISA, ELISpot, multiplex immunoassays, and immune-cell phenotyping and antibody characterization
- Experience with CRISPR/Cas9 genome editing, CRISPR interference (CRISPRi) and CRISPR activation (CRISPRa), generation of genetically engineered hiPSC lines, and viral vector technologies.
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Experience with single-cell RNA sequencing, single-cell multi-omics, spatial transcriptomics, proteomics epigenomics, and immune repertoire sequencing.
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A strong computational background, proficiency in R and at least one additional scripting language (e.g., Python) and knowledge in biostatistics are desirable.
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Proven track record of publications.
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Excellent spoken and written communication skills are required.
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Excellent analytical and problem-solving skills.
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Ability to work independently and as part of a collaborative team.
- Cover Letter specifying past research experience/skills/accomplishments
- CV
- Contact information of three (3) Referees