Job Description:
• Lead analytic planning, interpretation, and synthesis of 988 Lifeline data
• Provide methodological guidance for evaluation studies, survey design, analytic plans, sampling, measurement, and findings interpretation
• Oversee evidence synthesis, literature reviews, research summaries, and related products
• Serve as scientific lead for SAMHSA cross-site evaluation participation
• Supervise and mentor Research Scientists
• Review analytic outputs, abstracts, presentations, manuscripts, reports, briefs, and dissemination materials
• Partner on quarterly Research Translation Meetings and translate findings into actionable insights and quality-improvement opportunities
• Support research transparency, analytic documentation, reproducibility, and ethical scientific practice
• Identify and escalate complex methodological, analytic, data-quality, and interpretation issues
• Coordinate research and evaluation work with leadership, Data Governance, compliance, and internal partners
• Maintain work plans and communicate status, risks, limitations, and roadblocks to the AVP of Research and Evaluation
Requirements:
• Ph.D. or equivalent doctoral-level research qualifications in Psychology, Sociology, Public Health, Health Services Research, or a related field required
• Minimum five years of relevant research or evaluation experience
• Experience supervising, mentoring, or providing scientific guidance to research staff, analysts, students, or project teams
• Experience participating in grant-funded research projects as a principal investigator, co-investigator, consultant, senior researcher, evaluator, or comparable scientific contributor
• Experience submitting research materials to an IRB and navigating IRB processes
• Experience applying research ethics standards to study design and dissemination
• Strong understanding of 45 CFR 46, the Belmont Report, and the Declaration of Helsinki
• Minimum two first-authored peer-reviewed publications or equivalent scholarly work
• Strong expertise in research design, evaluation methods, analytic planning, statistical interpretation, and scientific communication
• Experience working with complex datasets, including missingness, data-quality limitations, or operational constraints
• Proficiency in RStudio and applied quantitative analysis required
• Experience or comfort with Tableau, SQL, or similar data tools preferred
• Proficient use of Microsoft Office Suite and remote collaboration tools
• Knowledge of survey methods, evidence synthesis, literature review methods, psychometric assessment, and missing-data considerations
• Familiarity with IRB processes, open science, research transparency, and ethical research practices
• Strong written communication, supervisory, mentoring, organizational, and time-management skills
• Ability to work independently across multiple projects in a fully remote environment
• Ability to use asynchronous communication and collaboration tools
Benefits:
• Medical insurance
• Dental insurance
• Vision insurance
• Supplemental income insurance
• Employer-paid disability insurance
• Employer-paid life insurance
• Pre-tax FSA for medical and dependent care
• 401K
• Flexible remote work environment
• Professional development support and mentoring opportunities