"Statistician Lead"

A cover letter is required for consideration for this position and should be attached as the first page of your CV/resume. The cover letter should address your areas of interest, experience, and qualifications within the range of responsibilities described.

The Data Science for Dynamic Intervention Decision-Making Center (d3center) is seeking a highly experienced Senior Statistical Programmer to support advanced quantitative and data-intensive research across a diverse portfolio of sponsored projects. This role partners closely with faculty investigators, research scientists, biostatisticians, and analysts to develop adaptive intervention methodologies to support the design, implementation, and maintenance of robust, reproducible statistical programming workflows that support high-quality research and evidence generation.

The Senior Statistical Programmer brings deep technical expertise, strong statistical reasoning, and a collaborative mindset to complex research questions spanning health, behavioral, social, and data sciences. The position is well suited for an individual who can work independently on sophisticated analyses while also mentoring others and contributing to best practices in research computing.

The Survey Research Center (SRC) at the Institute for Social Research (ISR) is an international leader in interdisciplinary social science research involving the collection and analysis of data, especially data from scientific sample surveys. SRC conducts some of the most widely cited and influential studies in the world.

The Data Science for Dynamic Intervention Decision Making Center (d3c), a program within SRC, is an interdisciplinary collective of data scientists revolutionizing the design and delivery of interventions in healthcare and education. d3c strives to cultivate a bottom-up, interactive, team-oriented workplace that values, above all else, how people work together in the service of developing and disseminating novel data science tools that matter. As we develop the methodological toolkit scientists need to address today's biggest public health challenges, we're building an open-source ecosystem for sharing our tools and collaborating with and training scientific partners to implement our methodology to solve real-world problems. Through partnerships with stakeholders around the world, we will catalyze a new generation of evidence-based, technology-powered treatments that improve health and education outcomes for everyone.

This position will report to the d3c Managing Director, and partner closely with experienced research administrators housed within the Survey Research Center (SRC).

• Develop, validate, and maintain statistical programs to support complex research analyses, simulations, and reporting.
• Translate analytic plans and study protocols into efficient, reproducible code using appropriate statistical methods.
• Conduct or support advanced statistical analyses (e.g., longitudinal, multilevel, causal inference, survival, or high-dimensional methods) in collaboration with faculty and statistical experts.
• Ensure adherence to best practices for data integrity, quality assurance, and validation of analytic outputs.
• Lead the preparation of analysis-ready datasets and codebooks in accordance with sponsor, institutional, and regulatory requirements.
• Serve as a senior technical resource to research teams, advising on analytic feasibility, data structure, and computational approaches.
• Contribute to the preparation of tables, figures, and analytic documentation for manuscripts, reports, and grant proposals.
• Supervise junior programmers, analysts, and research staff.
• Contribute to the development of shared programming standards, templates, and analytic libraries.
• Participate in training efforts and knowledge-sharing related to statistical programming tools and methods.
• Ensure that all programming and data activities comply with applicable regulations, sponsor requirements, and University of Michigan policies (e.g., human subjects protections, data security standards).
• Work with sensitive or restricted data using approved secure computing environments and practices.

• PhD in Statistics, Economics, Psychology, or other relevant domain
• 10+ years of experience leading statistical analysis on projects that involve experimental design and intervention optimization, latent class analysis, and time-varying effect modeling
• Expertise in software development and statistical programming, with particular knowledge of SAS procedures and statistical power for factorial and multi-level experimental designs
• Expertise in simulation studies, model selection, mixture modeling, clustered and longitudinal data analysis, and experimental design and power