Biostatistician (Neurology)

The Department of Neurology is seeking a Biostatisticianfor the BIOS Division in the School of Medicine. The Biostatistician will analyze large scale, longitudinal data. Analyzed data is abstracted and extracted from electronic health records, laboratory and pharmacy databases, and patient reported outcomes surveys.

The Biostatistician will provide expertise on statistical design, data management (including data quality control), and data analyses to answer research questions using observational and longitudinal data. The Biostatistician will participate as a coauthor on manuscripts and presentations reporting study results.

Specific Duties and Responsibilities

• Use and expand existing SAS and R programs to clean and organize incoming JHHCC and CNICS data.
• Identify potential problems with study data and collaborate with data managers to resolve issues.
• Read concept sheets and draft statistical analysis plans specific to research objectives.
• Generate analytic data sets, codebooks, and other documentation.
• Analyze individual-level data to answer scientific questions of interest.
• Prepare data tables and figures for publication and presentation at scientific meetings.
• Contribute to technical/scientific writing and review drafts of concept sheets, reports, posters, and manuscripts, particularly descriptions of statistical methods and interpretation of results.
• Document decision making during conduct of studies and archive code for purposes of reproducibility of research findings.
• Navigate shared files and contribute to shared files to create a transparent research workspace.
• Assist with writing approach section of research proposals.
• Attend meetings and provide status updates on data processing and research projects.
• Use professional judgment in handling sensitive information.
• Other duties as assigned.

In addition to the duties above

• Support development of statistical analysis plans and data collections tools (e.g. CRFs).
• Develop specifications for derived datasets used to generate data summaries and statistical analysis.
• Program derived datasets to generate data summaries and statistical analysis.
• Develop table, listings, and figures (TLFs) shells in preparation for analysis programming.
• Program TLFs to support safety reviews (including DSMBs), publications, and ongoing study reporting.
• Program additional ad hoc requests to support clinical trial conduct and reporting including: sample size calculations and data missingness.
• Collaborate with project management to develop timelines for analysis.