Associate Research Scientist

Updated: 3 months ago
Location: New York City, NEW YORK

Details

Posted: 10-Feb-24

Location: New York, NY

Salary: Open

Categories:


Academic/Faculty

Internal Number: 140816


The Division of Molecular Therapeutics at Psychiatry is seeking a qualified candidate to fill a full time Associate Research Scientist position. The successful candidate will contribute to interdisciplinary research at the intersection of synaptic physiology, behavioral analysis, and experimental therapeutic approaches in preclinical models. The successful candidate will be proficient in MS Office (Excel, PowerPoint, and Word) and Adobe products. The successful candidate will be familiar with one programming language such as PYTHON or R, and with online analysis platforms, e.g., Google Colab.

Duties:

  • Undertake independent experimental studies, employing analytical methods to elucidate a systems-level comprehension of motor behavior in both health and neurodegenerative diseases, with a particular focus on Parkinson's disease.

  • Utilize a diverse array of techniques, such as anatomic, electrophysiological, and photometric methodologies to quantitatively assess synaptic activity in striatal and dopaminergic neurons.

  • The selected candidate will be integral to all facets of experimental design, execution, and computational analysis across a broad spectrum of research projects, encompassing cyclic voltammetry, patch clamp recordings, fiber photometry, and various behavioral techniques.

  • Proficiency in independently designing and executing experiments is essential, as is the ability to collaborate effectively within a team.

  • The ideal candidate should have programming skills to enhance existing tools developed in the lab, analyze high-throughput data, and create new tools as needed for the project.

  • Work independently on the experiments described above, as well as collaborate with other members of our lab, scientists, graduate students, and postdocs.

     

  • Present data at research meetings in the lab, as well as at conferences and publish work in scientific journals, and writing future grants.

    Qualifications:

  • Bachelor's degree in specific research field and 6 -10 years' experience.

  • Master's degree, or equivalent combination of education and experience

  • Ability to analyze optical and behavioral data and perform statistical analysis.

    Preferred Qualification:

  • MD with specialization in Neurology /Psychiatry or PhD in a field related to System Biology, Neurodegenerative diseases, or related Neurosciences

     

  • Demonstrated ability to conduct independent experiments, including the application of non-invasive methods in preclinical models (e.g., electroconvulsive therapy), along with experience in toxin-induced models of Parkinson's disease.

  •        Experience in techniques for sparse neuronal labeling for quantitative morphological characterization of neurons using specific software like Neurolucida or lmaris. 

    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.


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    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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