2025-05-03
University of Pittsburgh
Other
/yr
employee
contract
Pittsburgh
Pennsylvania
15260
United States
Implementation Science Methodologist
The HEALing Measures Center, supported by grant 1RM1DA059395-01, is dedicated to advancing the measurement, quality, and equity of care in community opioid treatment programs (OTPs) through the sustained implementation of measurement-based care (MBC). Our comprehensive approach involves collaborative efforts with community partners to improve tools, enhance measurement quality, and bridge critical research gaps in the real-world application of evidence-based measurement and systems. We will co-design the implementation blueprint with key community partners (e.g., policy makers, payers, OTP providers) that will serve as the foundation for a stepped-wedge, hybrid type II effectiveness-implementation trial. Successful candidates will have the ability to work with a multi-disciplinary program team from RTI, Northwestern, and University of Pittsburgh to solve complex problems in the areas of substance use disorder/mental health disorder treatment and prevention.
The Implementation Science Methodologist is a senior-level position focused on qualitative and quantitative data collection and analysis, contributing to cutting-edge research aimed at improving substance use disorder treatment and prevention strategies.
A commitment to achieving healthcare diversity, equity, and inclusion is a must. Individuals with relevant lived/living experience are strongly encouraged to apply.
1. Collaboration & Partner Engagement: Collaborate with internal and external partners to facilitate effective data collection and analysis. This includes co-leading data collection, engaging with key partners, and supporting research efforts to inform data-driven decision-making. Provide leadership ensuring alignment of the project’s objectives with organizational and community goals.
2. Training & Mentorship: Lead and support training efforts for research team members and community partners in qualitative and quantitative data collection methods. This includes providing guidance on survey administration, qualitative interview techniques, and adhering to study protocols. Foster a collaborative learning environment by mentoring staff and researchers to enhance their research skills.
3. Project Management & Data Oversight: Oversee and coordinate daily operations of data collection activities for complex research projects. This involves managing timelines, ensuring alignment with research milestones and compliance with ethical research standards (e.g., IRB protocols). Collaborate with project teams to ensure data integrity, consistency, and quality across all research phases.
4. Data Collection & Analysis: Lead qualitative data collection (e.g., interviews, focus groups) and manage quantitative data collection (e.g., surveys, observational data). Utilize appropriate data analysis software (e.g., NVivo, R, SPSS) to conduct sophisticated statistical analysis and qualitative coding to produce actionable insights. Apply rigorous analytic techniques for both structured and unstructured datasets.
5. Development of Study Protocols & Reporting: Support development and implementation of study protocols, including IRB submissions, data collection instruments, and analytic strategies. Contribute to the preparation of publications, reports, and presentations, ensuring that findings are clearly communicated and disseminated effectively.
6. Grant Writing & Research Leadership: Support grant writing and proposal development efforts, such as developing research plans and funding applications. Initiate independent research projects under mentorship of senior researchers, contributing to ongoing research and publication opportunities. Demonstrate leadership in ensuring alignment with broader research objectives and securing additional funding opportunities.
7. Human-Centered Design & Community Engagement: Co-lead human-centered design efforts with the team, ensuring the research process reflects the needs and preferences of the communities served. Work closely with partners, ensuring the research process is inclusive, effective, and tailored to community needs.
Performs research, analysis, and modeling on organizational data and data sets utilizing advanced statistical methods to mine and analyze complex and unstructured data sets. Offers complex analysis and utilizes advanced algorithms and statistical software. Adheres to all protocols.
Requires the ability to visualize a computer screen, to work with computer hardware and software, to communicate verbally and in writing, and to use a phone. The candidate must have strong working knowledge of English.
Position is mostly sedentary work.
The University of Pittsburgh is committed to championing all aspects of diversity, equity, inclusion, and accessibility within our community. This commitment is a fundamental value of the University and is crucial in helping us advance our mission, which includes attracting and retaining diverse workforces. We will continue to create and maintain an environment that allows individuals to discover, belong, contribute, and grow, while honoring the experiences, perspectives, and unique identities of all.
The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EOE, including disability/vets.
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