Research Support Assistant II

New York State Psychiatry Institute; New York (NY); On-site; USD 29,000 - 35,000; Part time

Job summary

The Research Foundation for Mental Hygiene is seeking a part-time Research Support Assistant II to assist in preprocessing neural and serotonin signals and to support computational analyses.

Responsibilities include implementing and validating multivariate Hidden Markov Models, Representational Similarity Analysis, and linear decoding with permutation testing; the role offers exposure to preclinical brain research and publication-quality figures.

Qualifications

• Bachelor's degree in science and/or information technology.
• At least 1 year experience with Python and MATLAB.
• At least 1 year experience analyzing time series signals.
• At least 1 year experience with probabilistic classification models in NumPy, SciPy, and SciKit-learn.

Responsibilities

• Preprocessing and normalization of simultaneous neural activity and serotonin signals.
• Implementing and validating three computational analyses: multivariate Hidden Markov Models, Representational Similarity Analysis, and linear decoding with permutation testing.
• Extracting per-animal metrics for group-level statistical comparison.
• Generating publication-quality figures.

Skills

Python

MATLAB

Time-series analysis

Probabilistic modeling

Representational similarity analysis

Education

Bachelor's degree in science and/or information technology

Tools

NumPy

SciPy

SciKit-learn

Job description

Job Title: Research Support Assistant II

Grade: 10

Salary: $21.23 -$25.55

The Research Foundation for Mental Hygiene is seeking a qualified hourly, part time Research Support Assistant II for a short-term position to investigate neural activity and serotonin biosensor signals obtained from brain tissue in preclinical models of stress and fear generalization

Duties and Responsibilities:

Responsibilities include:

• Preprocessing and normalization of simultaneous neural activity and serotonin signals;


• Implementing and validating three computational analyses: multivariate Hidden Markov Models, Representational Similarity Analysis, and linear decoding with permutation testing


• Extracting per-animal metrics for group-level statistical comparison;


• Generating publication-quality figures.

Minimum Qualifications:

• Bachelor's degree in science and/or information technology


• At least (1) Year experience with Python and MATLAB


• At least (1) Year experience analyzing time series signals


• At least (1) Year experience with probabilistic classification models in NumPy, SciPy, and SciKit-learn

Preferred Qualifications:

• At least (1) Year experience with probabilistic modeling or dynamical systems;


• Familiarity with neuroscience or biosensor data;


• Prior exposure to HiddenMarkov Models or representational similarity analysis

Work Location:

1051 Riverside Drive, New York, NY 10032

The Mission of the Research Foundation for Mental Hygiene, Inc. (RFMH) is to promote the mental health of all New Yorkers, with a focus on providing hope and supporting recovery for adults with serious mental illness and children with serious emotional disturbances. Applicants with lived mental health experience are encouraged to apply. RFMH is deeply committed to supporting underserved individuals, organizations, and communities. To this end, RFMH is focused on implementing activities and initiatives to reduce disparities in access, quality, and treatment outcomes for underserved populations. A critical component of these efforts is ensuring that RFMH is a diverse and inclusive workplace where all employees' unique attributes and skills are valued and utilized to support the mission of the Agency. RFMH is an equal opportunity/affirmative action employer.

The Research Foundation is a private not-for-profit corporation and is not an agency or instrumentality of the State of New York. Employees of the Research Foundation are not state employees, do not participate in any state retirement system, and do not receive state fringe benefits. Excellent Benefits Package. Affluent Action/Equal Opportunity Employer - Disabled/Veteran, 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a) compliant.