Career Center

The Center for Translational & Computational Neuroimmunology (CTCN), in the Department of Neurology at Columbia University Medical Center (CUMC) is a hub for large-scale translational human studies that integrate rigorous application of advanced laboratory techniques with cutting-edge computational methods. The CTCN includes a Neuroimmunology Core that is part of the national Alzheimer's Disease Research Center network in the U.S., and it specializes in the optimization and deployment of novel experimental platforms to support the projects of CTCN investigators and collaborators involving Alzheimer's, Multiple Sclerosis, neurodegeneration, and immune aging. Currently, we are looking for a new team member to join our research effort as a non-tenure associate research scientist and lead our immunosenescence projects. In particular, we have been funded by the NIH to develop multi-omic trajectories of human immuno-senescence using longitudinally collected PBMC and CSF cells from participants in diverse aging cohorts. In one project, the candidate will be responsible for helping to optimize a multi-modal PBMC profile and will then supervise the execution of the experimental pipeline for 1000 participants at each of three time points over 5 years. Technologies to deployed may include cytometry, mass cytometry, bulk RNA sequencing and proteomic profiling, various single cell-related technologies for transcriptomic, epigenomic and proteomic profiling, as well as emerging single cell proteomic techniques. Functional evaluations – phagocytosis, proliferation, analyte secretion, metabolic activity, antigen presentation,...- will also be performed. The preferred candidate will have strong experience in miniaturizing experiments to reduce the number of cells needed for a given profiling technique and will have excellent organizational skills and be able to supervise multiple team members in parallel as different profiles are generated from the same PBMC aliquot. The candidate must therefore have the ability to work effectively in a team environment as all experimental work is deeply integrated with the computational team that include dedicated staff scientists for data pre-processing and QC. Excellent communication and organization skills as well as the ability to work independently are mandatory for this position.

Minimum qualifications

• PhD or equivalent in an immunology-related field sciences and at least three years of postdoctoral or staff scientist experience in a laboratory or research-based environment
• Excellent interpersonal, organizational, writing, and verbal communications skills
• Ability to work in a fast-paced environment with demonstrated ability to manage multiple and competing demands and establish priorities.

Preferred Qualifications

• Proficiency in cytometry-related software
• Experience in human or mouse immunology
• Experience with executing milestone-driven projects
• Ability to learn new protocols and platforms

Hiring Salary Range: $80,000 - $110,000.

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 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.

About Columbia University

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.

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