Edtech.com's Summary

Columbia University is hiring a Research Assistant for its SNF Center for Precision Psychiatry. The role involves analyzing molecular and cellular data from stem cell and transgenic mouse models, and working with longitudinal clinical data to improve diagnosis and treatment of neuropsychiatric disorders.

Highlights

Analyze cellular and molecular data including neuronal population dynamics using advanced computational methods.
Maintain detailed records and manage data processing pipelines with backup on lab servers.
Develop predictive models from longitudinal clinical data to enhance prognosis and treatment strategies.
Require knowledge of laboratory procedures, statistical modeling, and machine learning.
Prefer experience with large-scale, temporally-dynamic biological or clinical datasets.
Desirable skills include neuronal imaging data analysis using Python and Matlab.
Must have strong organizational and communication skills to work in a multidisciplinary team.
Bachelor's degree with at least 1.5 years of related experience or equivalent education and training.
Position is full time and salaried at approximately $59,845.49.
Based at the Vagelos College of Physicians & Surgeons, Columbia University.

Research Assistant Full Description

Job Type: Support Staff - Union
Bargaining Unit: SSA
Regular/Temporary: Regular
End Date if Temporary:
Hours Per Week: 35.00
Standard Work Schedule:
Building:
Salary Range: $59,845.49 -$59,845.49

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.

Position Summary

At the Stavros Niarchos Foundation (SNF) Center for Precision Psychiatry & Mental Health, we envision a near future when mental illness is treated in novel, targeted, and tailored ways, based on a new understanding of how mental illness develops and persists, unique to each individual. Our mission is to apply advances in neuroscience, technology and precision medicine to psychiatry; to create breakthroughs that further our understanding of the biological causes and underpinnings of mental illness; and to discover treatments that alleviate suffering from conditions previously considered untreatable. By addressing biological causes, and identifying genetic and other biological markers, the SNF Center will eliminate the stigma of mental illnesses and address societal disparities by ensuring equitable access to breakthrough Precision Psychiatry treatments.

Job Summary: We are seeking a highly motivated and detail-oriented Research Technician to join a cutting-edge research project leveraging advanced computational methods for analysis of large-scale datasets. This position is part of an initiative at the SNF Center for Precision Psychiatry, focusing on understanding the molecular and cellular mechanisms underlying neuropsychiatric disorders, and opportunities for clinical innovation and therapeutic discovery. The successful candidate will contribute to the development and characterization of human pluripotent stem cell-based and transgenic mouse models to study disease mechanisms, as well as longitudinal clinical data for prognostic outcome prediction.

Responsibilities

Analyzing cellular and molecular data, including calcium imaging-based neuronal population dynamics, from both animal and human cellular models, in collaboration with the research team.
Maintaining detailed records of experimental analyses and results, including data processing pipelines, with regular backup and archiving onto lab servers.
Contributing to innovative opportunities using longitudinal clinical data to build predictive models for improved diagnosis, treatment, and prognosis, including mining longitudinal data for insights relevant to translational and experimental studies.
Performing other related duties and responsibilities as assigned/requested.

Minimum Qualifications

Bachelor's degree and at least one and one-half years of related experience or equivalent in education, training and experience.

Preferred Qualifications

Prior experience working with large-scale temporally-dynamic biological or clinical datasets is strongly preferred.

Other Requirements

Knowledge of various related laboratory procedures and techniques required.
Strong computational skills, including statistical modeling and machine learning.
Experience with neuronal imaging techniques and data analysis using Python and Matlab is desirable.
Strong organizational skills with attention to detail and the ability to manage multiple tasks simultaneously.
Excellent communication skills and ability to work collaboratively in a multidisciplinary team.

Equal Opportunity Employer / Disability / Veteran

Columbia University is committed to the hiring of qualified local residents.

Original Job Description

Job Type: Support Staff - Union
Bargaining Unit: SSA
Regular/Temporary: Regular
End Date if Temporary:
Hours Per Week: 35.00
Standard Work Schedule:
Building:
Salary Range: $59,845.49 -$59,845.49

Position Summary

Responsibilities

Analyzing cellular and molecular data, including calcium imaging-based neuronal population dynamics, from both animal and human cellular models, in collaboration with the research team.
Maintaining detailed records of experimental analyses and results, including data processing pipelines, with regular backup and archiving onto lab servers.
Contributing to innovative opportunities using longitudinal clinical data to build predictive models for improved diagnosis, treatment, and prognosis, including mining longitudinal data for insights relevant to translational and experimental studies.
Performing other related duties and responsibilities as assigned/requested.

Minimum Qualifications

Bachelor's degree and at least one and one-half years of related experience or equivalent in education, training and experience.

Preferred Qualifications

Prior experience working with large-scale temporally-dynamic biological or clinical datasets is strongly preferred.

Other Requirements

Knowledge of various related laboratory procedures and techniques required.
Strong computational skills, including statistical modeling and machine learning.
Experience with neuronal imaging techniques and data analysis using Python and Matlab is desirable.
Strong organizational skills with attention to detail and the ability to manage multiple tasks simultaneously.
Excellent communication skills and ability to work collaboratively in a multidisciplinary team.

Equal Opportunity Employer / Disability / Veteran

Columbia University is committed to the hiring of qualified local residents.

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