The Sr. Research Data Analyst will be responsible for analyzing cutting-edge bio-behavioral health and network epidemiological data, and reporting results from their analyses.
The employee will: 1.) Lead the development of abstracts, posters, and presentations for local and national conferences, manuscripts, and other research outputs.
2.) Provide statistical analysis and data management for multiple CDC and NIH funded projects at CCHE, including longitudinal cohort studies, network studies, and randomized controlled trials of HIV prevention interventions.
3.) Work with CCHE investigators to identify appropriate statistical methods to address research hypotheses and conducting statistical analyses accordingly.
4.) Create analytic datasets by merging, cleaning, and coding data from multiple sources, including behavioral surveys, electronic health records, and public health surveillance.
5.) Document source code and data management and analysis procedures.
6.) Prepare tables and figures for manuscripts, abstracts, and other scientific publications.
7.) Contribute to the writing of statistical methods sections for manuscripts and other publications, with opportunities for authorship available.
8.) Present results of statistical analyses to researchers, colleagues, and funders, including formal presentations at conferences.
9.) Participate in regular meetings with CCHE research staff and data analysts to discuss proposed analyses, share code and analytic approaches, and discuss data and/or methodological challenges as they arise.
10.) Provide support and/or mentorship to junior analysts.
11.) Provide assistance with power calculations and proposed analytic strategies for new grant proposals.
12.) May provide critical methodological evaluation of newly proposed research designs and suggest design improvements and statistical analysis plans.
Preferred competencies include: Strong analytical skills; Proficiency with one or more statistical analysis software packages, such as SAS, Stata, or R for data management and statistical analysis; Proficiency with Microsoft applications, including but not limited to Outlook, Excel, Access, and Word; Ability to provide written descriptions of analytic methods for grant applications and scientific manuscripts; Experience maintaining and documenting source code for reproducibility of research; Ability to adhere to protocols for maintaining confidentiality of protected health information, and work with sensitive information (HIV/STI testing data); Meticulous attention to detail and excellent organizational skills; Ability to work on multiple projects simultaneously, set priorities, and meet deadlines; Strong interpersonal skills and the ability to work both independently and as part of a team; Demonstrated written and verbal communication skills, including ability to communicate results from complex statistical analyses to a lay audience; Flexibility, creativity, and problem solving skills; Ability to collaborate with colleagues from diverse academic and professional backgrounds; Demonstrated effective leadership skills and ability to manage new analysts or students