Biostatistician/Modeler (Epidemiology)

Johns Hopkins University•Baltimore, MD

3d•Onsite

About The Position

We are seeking a Biostatistician/Modeler who can develop statistical tools to analyze infectious disease dynamics. This project will focus on the use of various data sets (human behavior, genomics, serological status, and epidemiological information) to predict the spatial and temporal dynamics of vector-borne (malaria, dengue) and vaccine-preventable (SARS-CoV-2, measles, rubella) diseases. The position will require the development, evaluation, and investigation of statistical frameworks to understand disease transmission and ultimately inform public health policy. 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.

Requirements

Master's Degree in Biostatistics, Epidemiology, or related quantitative field.
Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.
Biostatistical Analysis - Developing
Data Management and Analysis - Developing
Data Validation and Quality Assurance - Developing
Data Visualization - Developing
Regulatory Compliance - Developing
Reproducible Research Practices - Developing
Scientific Communication - Developing
Statistical Methods - Developing
Statistical Programming - Developing

Nice To Haves

Experience working on spatial transmission models.
Knowledge of infectious disease epidemiology.
Experience working on the epidemiology of vaccine-preventable diseases.
Experience in advanced biostatistical and mathematical methods and experience developing and using statistical models, particularly those related to vaccine-preventable, vector-borne diseases and/or general infectious disease epidemiology.

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.
Developing infectious disease transmission models in R, big data’ management, and model fitting.
Writing scientific manuscripts, public health reports, and scientific presentations.
Other duties as assigned.