Statistical Programmer Analyst

We are looking for a Statistical Programmer Analyst with a strong background in data management and data analysis to join our multidisciplinary team. Under the supervision of the principal investigator, this individual will be expected to independently carry out data analyses and work effectively with team members to achieve the overall goals of this project. This role will be responsible for data management, analysis, interpretation, general project management, presentation of findings, and participation in manuscript preparation. This position is ideal for a candidate with a recent bachelor's degree who is looking for full-time research experience before joining a PhD program.

Housing—including its affordability, quality, and neighborhood location—is a key driver of health and health equity. The Housing Assistance, Outcomes, Medicare, and SEER (HOMES) Study is an innovative research study that seeks to understand the impact of housing policy on cancer. It brings together several large scale, administrative datasets including cancer registry data, Medicare insurance claims, and federal data on the receipt of housing assistance, to investigate the ways in which where we live impact cancer stage at diagnosis, timely guideline-concordant treatment, and emergency department visits. The research team represents a highly collegial group of scholars from clinical medicine, cancer health services research, epidemiology, economics, and statistics. The study is designed to inform a policy and practice at the intersection of housing and health.

Specific Duties & Responsibilities

• The Programmer will use SAS, R, and/or Stata programming skills to create analytical datasets from surveys, healthcare claims, electronic health records, and other data sources.
  
• The Programmer will implement non-routine macros and advanced techniques to combine data from different sources and databases as well as use advanced statistical methods to analyze data.
  
• The analyst will also be expected to have strong writing skills to draft manuscripts based on the analyses.
  
• Collect, compile, and manage study-specific datasets; merge data, create and recode variables to prepare data for analyses; develop and implement procedures for data quality monitoring.
  
• Clearly summarize and present findings at team meetings.
  
• Discuss with colleagues, investigators, and supervisor the need for any additional analyses and/or special methodological needs.
• Strong teamwork, communication, and collaboration skills are needed to support multiple projects led by individual investigators.
• Support the development of grant applications and prepare presentations.
  

• Participate in team meetings and, as needed, take minutes of meetings for distribution to the team.
  

• Assist in literature reviews as needed.
  

• Strong writing skills to draft manuscripts based on analyses.
  

• Assist with IRB renewals and applications and other projects as needed.
  

• Special Knowledge, Skills & Abilities
  

• Competency with statistical languages: SAS, Stata, or R. SAS strongly preferred.
  

• Excellent interpersonal skills in consulting with researchers and understanding their problems. Excellent writing and verbal skills in the preparation and presentation of reports.
  

• Excellent organizational skills and attention to details are required

• Bachelor's Degree.
• One-year related experience.
• Direct programming experience while pursuing education may count towards related experience. Significant undergraduate programming coursework or independent project can be considered as related experience.
• Additional related experience may substitute for required education, to the extent permitted by the JHU equivalency formula.

Classified Title: Programmer Analyst 
Job Posting Title (Working Title): Statistical Programmer Analyst   
Role/Level/Range: ATP/03/PC  
Starting Salary Range: $53,300 - $93,500 Annually ($73,400 targeted; Commensurate with experience) 
Employee group: Full Time 
Schedule: Monday to Friday: 9 am – 5 pm 
Exempt Status: Exempt 
Location: Hybrid/School of Public Health 
Department name: ​​​​​​​Health Policy & Management -IHSP  
Personnel area: School of Public Health