An Associate Research Scientist is available in the Department of Neurology at Columbia University Medical Center in New York, NY (https://www.columbianeurology.org).

We are looking for an enthusiastic and energetic individual to join our research effort investigating genetic, molecular, and behavioral variation in the brain in neurodegenerative disease and aging, with a focus on Parkinson?s Disease and spinal cord biology. This position will be design, implement, and interpret computational analysis of next-generation sequencing, imaging, and proteomics data, and will work with a variety of investigators in the department through existing collaborations.

The candidate will develop, execute, and interpret bioinformatics, machine learning, and computational biology algorithms to process and analyze genetic, transcriptomic (RNA-seq), epigenetic, and proteomic data from human brain tissue. This includes integrated analyses of multiple data types to identify key molecules and cell types associated with clinical and pathological variables in the context of Parkinson?s Disease and spinal cord biology.

The successful candidate will be part of an integrated team of neurologists, data scientists, cellular biologists, and human immunologists who come together to perform team-based projects. The position therefore offers a stimulating and multi-disciplinary environment and the opportunity to work with a variety of researchers at Columbia University. There will be many opportunities to contribute to multiple ongoing national and international collaborative projects.

PRINCIPAL DUTIES AND RESPONSIBILITIES:

1.                  Responsible for assembling, executing, and developing the latest analysis approaches/workflows on human molecular data, including Parkinson?s Disease and spinal cord biology

2.                  Lead QA/QC of pilot and production data sets.

3.                  Display initiative and independence in providing rapid results to various investigators generating experimental data, and developing manuscripts.

4.                  Prepare summary reports of data and results for dissemination to colleagues and collaborators.

5.                   Directly respond to inquiries regarding projects being managed. Produce subsets of data for distribution to collaborators as approved by the principal investigators.

Requirements: PhD in computer science, bioinformatics, computational biology, applied mathematics, statistics, biostatistics, physics, or related area, with at least 4 years of post-doctoral experience. Basic knowledge of neurological disease phenotypes and brain cell types is also required.

Additional inquiries should be submitted by e-mail to vm2545@cumc.columbia.edu. Along with your CV, please include a brief cover letter describing previous work, research interests, and future goals. Please provide contact details for 2 references.

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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