Phatnani lab seeks an independent but team-oriented Post-doctoral Research Associate to generate multimodal omics data of gene and protein expression with spatial context, all at scale, over multiple tissue sections at a depth sufficient to permit identification of the rare and heterogeneous senescence cell population. S/he will assemble unified workflows for measuring gene expression, protein abundance, and aggregate cellular composition, utilizing leading-edge technologies that operate at cellular and subcellular resolution in situ, to map cell type-specific senescence markers in the brain, spinal cord, skin, and the relevant biofluids, cerebrospinal fluid (CSF) and blood, during aging.
Currently, our group received funding to engage in a ground breaking collaboration with multiple departments in which we use the integration of Spatial Transcriptomics (ST), single-nucleus RNA-seq (snRNA-seq) data, and Iterative Indirect Immunofluorescence Imaging (4i)-based proteomic profiling that will enable to generate maps of known and novel senescence-associated markers, senescent cells, and the effects of senescent cells on their surroundings in each tissue type across the human lifespan.
Responsibilities may include:
Learn and Implement workflows for collecting spatially and integrating resolved data in all modalities of the central dogma using current state-of-the-art technologies;
Develop new methods for collection of spatialy resolved, multi-modal data;
Coordinate efforts across multiple cores/departments;
Actively participate in the preparation of manuscripts for publication and present at scientific conferences;
Assist in peer- and student-mentorship; and,
Share expertise and provide training and guidance to group members as needed
Assist with organization and logistics of the laboratory
A minimum of a Ph.D. in molecular biology, biochemistry, neurobiology or related discipline required;
In-depth understanding of nucleic acid and protein biochemistry required;
Prior experience with tissue handling, experimental biochemistry and molecular biology, imaging, and computational analysis are preferred, but exceptionally creative and driven scientists with an interest will be seriously considered;
Strong oral and written communication, data documentation, and presentation skills required;
Ability to handle multiple projects at the same time required; and,
Excellent collaborative and interpersonal skills required.
Columbia University is an Equal Opportunity Employer / Disability / Veteran
Pay Transparency Disclosure
The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.
Columbia University is one of the world's most important centers of research and at the same time a distinctive and distinguished learning environment for undergraduates and graduate students in many scholarly and professional fields. The University recognizes the importance of its location in New York City and seeks to link its research and teaching to the vast resources of a great metropolis. It seeks to attract a diverse and international faculty and student body, to support research and teaching on global issues, and to create academic relationships with many countries and regions. It expects all areas of the university to advance knowledge and learning at the highest level and to convey the products of its efforts to the world.