Research Scientist III

Research Foundation for Mental Hygiene•New York, NY

1d•$92,055 - $111,115•Onsite

About The Position

The Research Foundation for Mental Hygiene, Inc. is seeking a qualified candidate to fill the full-time position of Research Scientist III in the New York State Office of Addiction Services and Supports (OASAS), Division of Planning, Research, Information Management, and Evaluation (PRIME) in response to the continuing overdose crisis. OASAS is calling for new approaches that embrace person-centered care, evidence-based practices, equitable treatment, and harm reduction principles. OASAS envisions a revised treatment system that better retains clients in treatment, mitigates adverse healthcare events, and reduces deaths. To this end, OASAS is embarking on a new collaboration with New York University (NYU) on a National Institutes of Health (NIH) grant to support the transformation of the data architecture and reporting across the OASAS system of care. This Research Scientist III will be responsible for working closely with PRIME leadership in employing data science approaches, techniques, and methods to develop substance use and use disorder measures that reflect agency wide needs in reporting and evaluation. A successful candidate thrives in a highly collaborative, diverse cross-team work environment; has experience in data systems management and process improvement; demonstrates adaptability with the capacity to handle multiple demands and changes in a dynamic fast-paced environment; and has strong organizational, writing, and oral communication skills.

Requirements

A Bachelor's degree from an accredited college or university in a relevant social science and four years research, evaluation, or data management experience; OR A Master's degree or J.D. from an accredited college or university in a relevant social science and a minimum of three years of research, evaluation, or data management experience; OR A Ph.D. from an accredited college or university in a relevant social science and a minimum of two years of research, evaluation, or data management experience.
Two years of experience in organizing, managing, and analyzing quantitative data using descriptive statistics evidenced
One year of experience of supervising

Nice To Haves

Demonstrate experience conducting program evaluations from start to finish is required, including samples of final products/reports.
Expertise in the use of SAS, R or SQL.
Experience working in culturally diverse communities is an asset.
Experience in substance use epidemiology and substance use disorder treatment modalities is an asset.
Expertise in the use of Microsoft Excel, Word, and Power Point.
Able to calculate, interpret and communicate statistics from data systems and provide findings in a variety of formats to both technical and general audiences.
Able to understand, interpret, and critique empirical findings.
Able to learn more advanced data skills independently and as needed for data projects.

Responsibilities

Lead a research team within the OASAS Division of Planning, Research, Information Management, and Evaluation (PRIME) and collaborate with the New York University (NYU) research team.
Collaborate with PRIME leadership, responsible for institutional clinical research priorities, goals and key performance indicators.
Utilize advanced research methods, identify gaps between recommended performance measures and existing data collection methods.
Develop and implement innovative solutions to bridge these gaps and ensure robust data collection for research and evaluation purposes.
Oversee independently the preparation documents related to research activities, including study protocols, progress reports, and briefs to OASAS staff on data system development milestones.
Interface with cross-agency staff to define objectives and identify best practices.
Facilitate relationships with providers, community representatives, and other stakeholders contributing to data collection and database management.
Perform other related duties & responsibilities as assigned/requested.