Statistical Data Analyst II - Health Communication Research Lab - 51763 | Washington University in St. Louis - Military Veterans

at Herc - Missouri

St. Louis, Missouri

EOE Statement: Washington University is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, national origin, genetic information, disability, or protected veteran status. Job Type/Schedule: This position is full-time and works approximately 37.5 hours per week.   Department Name/Job Location: This position is for the Health Communication Research Lab.  The position is located at Goldfarb Hall.  This position is for the Danforth Campus. Essential Functions: POSITION SUMMARY: The Health Communication Research Lab (HCRL) in the School of Social Work conducts research to assess and address health disparities. The individual will be responsible for the data management and analysis of multiple longitudinal research projects involving survey data and administrative health care billing and claims data. The analyst will: 1) conduct secure electronic transfer of large data sets; 2) perform data management activities, including cleaning, quality checks, and creation of variables for analysis; 3) maintain comprehensive codebooks and protocol documents; 4) perform statistical analyses; and 5) contribute to the reporting of results. The individual will work independently with mentoring from senior staff and statisticians, and in collaboration with other project staff and investigators.? PRIMARY DUTIES AND RESPONSIBILITIES: Manage data. Prepare administrative and survey data for analysis. Create and maintain comprehensive data codebooks and syntax. Perform regular quality control checks of data. Work effectively with internal and external research staff engaged in data collection, management, and analysis. Perform statistical analyses of data collected. Analyze data, interpret statistical test results, and summarize findings in graphical and written formats. Develop and maintain databases that support the recruitment and data collection needs of the project, as needed. Help prepare findings for dissemination in various forms (presentations, papers, reports). Draft narrative description of methods and results for journal articles, etc. Other duties as assigned. Required Qualifications: Master’s degree and one year of related work experience or bachelor’s degree and three years of related work experience in public health, computer science, statistics, biostatistics, psychology, social sciences, or related field. Experience merging, managing, and analyzing large longitudinal datasets. Excellent computer skills. A minimum of two years of experience with data analysis and working with programming software such as SAS, R, Stata, Mplus, SQL, Python and other programming languages in addition to reporting tools such as Word, Excel, Powerpoint, Access or FileMaker Pro, Visual Basic, and others. Ability to learn and independently perform new applications and procedures. Attention to detail and ability to juggle multiple projects and deadlines. Ability to verbally communicate complex issues with clarity to different types of audiences (e.g., academic, health plans, community). Ability to collaborate with others, working independently and with team members, including students, staff and faculty. Preferred Qualifications: Completed master’s degree in public health, biostatistics, psychology or behavioral science, or related field with two years related experience. Experience managing, coding, and analyzing medical record or health plan administrative data (e.g., ICD, CPT codes etc.). Experience selecting and conducting the best inferential statistical tests for a given research question. Experience with some of the following: survival analysis, hierarchical linear modeling, mixed effects models, latent class analysis, growth mixture modeling, structural equation modeling, power analysis, sampling and weighting, propensity scores, multiple imputation, simulation models, cost effectiveness analysis, and others topics. Ability to communicate with staff and investigators about data fields and coding algorithms, complex issues and analytic results with clarity. Excellent organizational skills. Ability to maintain a complex set of data management tasks, monitor quality, and prioritize workflow. Ability to work effectively while balancing competing demands of multiple assignments. Attention to detail and accuracy in editing, recordkeeping, etc. Desire to learn new skills, show initiative and independently perform new applications and procedures. Applicant Special Instructions: Please include a cover letter and resume with your application. Salary Range: The hiring range for this position is $44,986 - $57,369 annually. Pre-Employment Screening: All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. Current employees applying for a new position within the university may be subject to this requirement. The screenings will include a criminal background check and, as applicable for the position, other background checks, drug screen, employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening. Benefits: This position is eligible for full-time benefits.  Please click the following link to view a summary of benefits: . Internal Applicant Instruction: Please attach a copy of your most current signed performance evaluation (completed within the last 18 months) to your online account.  If you have not received a performance evaluation, you may provide two current signed letters of recommendation (written within the last 18 months), preferably to include one letter from either a current or recent former supervisor.  To attach these documents, go to:  My Career Tools, Add Attachment, Attachment Type – Performance Reviews or Letters of Recommendation.