The Menon and Phatnani groups are seeking a dynamic, self-motivated, team-oriented Associate Research Scientist to expand efforts applying spatially resolved techniques to understand brain aging and neurodegenerative disease. Currently, our groups are engaged in a cutting-edge collaboration in which we use Spatial Transcriptomics combined with advanced computational methods to study the spatiotemporal dynamics of aging and disease progression in the brain, including in ALS and Alzheimer's Disease. The successful candidate will develop new analytical methods for integrating and leveraging large-scale imaging, molecular, and sequencing datasets generated by diverse spatially resolved technologies spanning DNA, RNA, and protein quantification and distribution.
Responsibilities may include:
Develop new computational, machine learning, and statistical analysis methods for integrating and analyzing large-scale, spatially resolved RNA-seq and protein data using current state of the art technologies;
Work closely with experimental colleagues and cores to design spatially resolved, multi-modal experiments;
Coordinate efforts across multiple organizations and communicate with other PIs within consortia that the Menon and Phatnani groups are members of;
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.
A minimum of a Ph.D. in computational biology, computational neuroscience, applied mathematics, computer science, or related discipline required;
In-depth understanding of modern high-throughput molecular technologies in the life sciences (RNA-seq, spatial transcriptomics, immunohistochemistry) required;
Prior experience with Bayesian inference, network inference, and image analysis are preferred, but exceptionally creative and driven scientists with an interest and adaptability will be seriously considered;
Strong oral and written communication, data documentation, and presentation skills required;
Experience writing scientific articles for publication required;
Ability to handle multiple projects at the same time required; and,
Excellent collaborative and interpersonal skills, and willingness to work in a fast-paced team environment required.
Columbia University is an Equal Opportunity Employer / Disability / Veteran
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.