Senior Data Analyst

NYU Langone Health • New York, NY

15h • Hybrid

About The Position

We have an exciting opportunity to join our team as a Senior Data Analyst. The Senior Data Analyst will support several projects led by Dr. Noa Krawczyk, Assistant Professor and Associate Director of the NYU Langone Center for Opioid Epidemiology & Policy (COEP). The analyst will join an interdisciplinary team of epidemiologists, policy researchers, clinicians and data scientists studying how to improve access to, quality of, and outcomes of substance use disorder treatment across health systems and community settings. The Senior Data Analyst will serve as the primary quantitative analyst on several projects and work closely with investigators to manage complex datasets, implement analytic plans, and produce reproducible analyses that support publications, grant proposals, and policy-relevant research outputs. Analytic approaches used across projects include regression modeling, causal inference methods (e.g., difference-in-differences), machine learning (e.g. state sequence analysis) and simulation modeling. This role is ideal for an someone with prior experience working in academic environments, strong programming and analytic skills, ability to independently lead and execute analyses to achieve study aims, and who enjoys collaborating with researchers and policy partners to translate data into actionable insights.

Requirements

• Bachelor's Degree and 3-5 years of experience required.
• Qualified candidates must be able to effectively communicate with all levels of the organization.

Nice To Haves

• A Masters or doctorate in epidemiology, data science, biostatistics or a related field (e.g., public health, health policy/services, health economics, sociology).
• Demonstrated experience independently applying epidemiologic and econometric methods to public health research questions
• Experience analyzing large healthcare datasets (e.g. claims, administrative records) and merging/synthesizing data across multiple sources
• Ability to gather, organize, analyze, and report findings from analyses, including in the form of tables and multiple graphics
• Strong programming and analysis skills using R, Stata, Python and/or SAS
• Experience working in academic or public health research settings, with contribution to scientific publications.
• Willingness and ability to learn new methodological techniques
• Ability to work in a fast-paced environment both independently and collaboratively on interdisciplinary teams.
• Ability to commute to mid-town NYC a minimum of 2 times/week
• Experience and interest in applying a range of quantitative methods (specifically regression analysis, difference in differences, state sequence analysis, computer simulation modeling, qualitative comparative analysis)
• Ability to independently manage and lead segments of projects, analytic plans and team meetings as needed
• Interest and enthusiasm for learning or applying new methods (both quantitative and qualitative) that best suit to or adapt to research project needs, including rapidly evolving large language models.
• Interest in or prior experience working on issues of substance use treatment and overdose
• Prior experience analyzing and merging large administrative, clinical, or claims datasets (e.g., Medicaid, EHR, treatment registry data).

Responsibilities

• Compile, clean, merge, harmonize, and maintain databases from multiple administrative and research data sources.
• Conduct descriptive and inferential statistical analyses and interpret findings from diverse research datasets.
• Apply and adapt quantitative methods used across projects and learn/apply new methods as needed.
• Collect and compile data from novel sources, including public records and web-scraped data when relevant.
• Assist investigators in developing analytic plans and implementing appropriate statistical approaches.
• Prepare analytic outputs and summaries and collaborate with investigators on interpretation of findings.
• Develop tables, figures, and other materials for manuscripts, reports, and presentations.
• Participate in manuscript development, revision, and submission and assist with literature reviews as needed.
• Maintain regular communication with project team members and assist with grant submissions, data use agreements, and other project management tasks as needed.

Benefits

• financial security benefits
• a generous time-off program
• employee resources groups for peer support
• holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees