Postdoctoral Associate in Skeletal Muscle Spatial Transcriptomics - Biomedical Engineering

Postdoctoral Associate in Skeletal Muscle Spatial Transcriptomics - Biomedical Engineering

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Opportunity: A position for postdoctoral fellow is available in research groups of Iwijn De Vlaminck and Ben Cosgrove at Cornell University. This will be a one-year appointment, with annual extension possible based on satisfactory performance.

Research description: Recent collaborative advances by the De Vlaminck and Cosgrove laboratories have developed new approaches for studying muscle regeneration and cardiac infection biology at the single-cell level. Our labs have built novel technologies for spatial profiling of the total transcriptome through in situ polyadenylated to achieve unprecedented complexity and resolution of non-coding and viral RNA species. Further, we have exploited single-cell and spatial transcriptomics analyses to generate large-scale data atlases of skeletal muscle regeneration to explore the spatial context of cell-cell communication. The candidate will play a central role in multiple multi-PI collaborative projects with the goal of applying total transcriptomic profiling in single-cell and spatial workflows to study human and skeletal muscle development and disease pathogenesis. This work will entail genomic and transcriptomic technology development and application and bioinformatic data analysis. These research projects are supported by multiple grants from the National Institutes of Health and the Chan Zuckerberg Initiative.

Representative research articles:

1. McKellar DW, Mantri M, Hinchman M, Parker JSL, Sethupathy P, Cosgrove BD, De Vlaminck I. (2022) “Spatial mapping of the total transcriptome by in situ polyadenylation.” Nature Biotechnology, in press.

2. McKellar DW, Walter LD, Song LT, Mantri M, Wang MFZ, De Vlaminck I, Cosgrove BD. (2021) “Large-scale integration of single-cell transcriptomic data captures transitional progenitor cell states in mouse skeletal muscle regeneration.” Communications Biology 4: 1280.

3. Mantri M, Hinchman MM, McKellar DW, Wang MFZ, Cross ST, Parker JSL, De Vlaminck I. (2022) “Spatiotemporal transcriptomics reveals pathogenesis of viral myocarditis.” Nature Cardiovascular Research 1: 946-960.

Responsibilities: The candidate will conduct innovative research with both wet lab (molecular biology) and dry lab (computational biology) components related to single-cell and spatial transcriptomics. The candidate will carry out research with at the highest technical and ethical standards. The candidate will take on project management duties and will maintain excellent working relations with the undergraduate and graduate students, staff and research associates in their research groups. The candidate will be responsible for dissemination of results via grant progress reports, publications, conference presentations, discussions with patient advocacy groups, and communications with collaborators, including clinician scientists.

What we offer: The candidate will be supported with a competitive salary and benefits at the postdoctoral fellow level, commensurate with their experience level. We offer excellent working conditions in state-of-the art facilities. The supervisors will support the candidate to apply for internal and external fellowship training funding and awards to further support their research and career development.

Required Qualifications: Candidates are required to hold Ph.D. or M.D./Ph.D. degrees (or expected to soon obtain such degrees). The candidate will have a track record of publications in leading journals. The candidate will have excellent writing and communication skills. The ability and desire to acquire new technical skills in the wet lab and computational space is required. The ability to develop positive working relationships with colleagues is critical.  Experience with, or an interest in learning wet lab experimentation skills. Experience with, or an interest in learning advanced computer and analytical skills. Must be willing to work in a team atmosphere. Ability to set goals and achieve them in a timely fashion, and a commitment to excellence are required. A strong desire to contribute to a project with direct application for human health is a must.

Preferred Qualifications: We are looking for technically skilled and creative researchers that can effectively communicate with our clinical collaborators. The ideal candidate will have exceptional communication and organizational skills, timely data generation, and excellent multitasking abilities are required. Prior experience with bioinformatics and/or molecular biology is highly preferred but not required. Candidates with a research background in unrelated fields (e.g. biophysics, physics, chemistry), but that possess exceptionally strong quantitative and computational skills are encouraged to apply.

How to Apply:


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Cornell University is an innovative Ivy League university and a great place to work. Our inclusive community of scholars, students and staff impart an uncommon sense of larger purpose and contribute creative ideas to further the university's mission of teaching, discovery and engagement. With our main campus located in Ithaca, NY, Cornell's far-flung global presence includes the medical college's campuses on the Upper East Side of Manhattan and Doha, Qatar, as well as the Cornell Tech campus located on Roosevelt Island in the heart of New York City.

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