Data Analyst II (IICB)

Overview Please note that this position is contingent upon the successful award of a contract currently under bid. Goldbelt Professional Services specializes in providing expert resources for Public Health missions including scientific, technical, and administrative support from junior staff to high-level subject matter experts. Research and data driven, Goldbelt Professional Services’ experts create solutions customized to the client’s needs. Summary: Goldbelt Professional Services is seeking a Data Analyst II to provide statistical support for the International Infection Control Program (IICB). Responsibilities Essential Job Functions: Mid- to senior-level statistical support to conduct analyses necessary to populate a network analysis tool or other activities, as requested, including collaborating with CDC investigators to create code or conduct analyses. Utilize research methodology and data collection tools to ensure appropriate healthcare epidemiology, HAI, and adverse event data are gathered. Design and maintain databases for management, using tools including but not limited to Access and RedCap. Conduct data analyses including cohort studies and case-control studies, potentially requiring knowledge of Bayesian inference or Markov Chain Monte Carlo (MCMC) methods; extract data from surveillance systems and special studies for COVID-19 and healthcare-associated infections. Prepare preliminary interpretations of analyses for scientific and public audiences, project teams, and/or management. Prepare technical and non-technical summaries, scientific reports, and manuscripts for publication in peer-reviewed literature. Use data and other performance/evaluation information to disseminate scientific information related to COVID-19, multidrug-resistant organisms, and healthcare-associated infections in the form of presentations, reports, slides, and other materials (e.g., newsletters, federal documents). Advise and consult on statistical methods and quantitative policy analysis for the Division's senior scientists and various individuals, groups, and organizations working on infection prevention and control nationally and internationally. Assist in writing protocols describing standard practices for design, implementation, and presentation of statistical analyses of existing and proposed studies conducted by DHQP/IICP or in collaboration with other agencies. Provide accelerated analysis and evaluation of data during agency emergencies from pandemic or epidemic outbreaks to support critical decision-making. Provide leadership to develop new and innovative analytic approaches for studying infection prevention and control activities, including surveillance data, observational studies, quantitative policy analysis, health system studies, and disease models. Participate during CDC response activities and training exercises under direction of the DHQP Team Lead; duties include staffing the EOC desk to help support CDC's mission Qualifications Necessary Skills and Knowledge: Knowledge and skill in applying advanced statistical methods, epidemiologic study designs, Bayesian inference, MCMC, network analysis, and disease modeling to healthcare and public health data. Ability to design, maintain, extract, validate, and analyze data using surveillance systems, research databases, REDCap, Access, and other analytic tools. Knowledge of healthcare-associated infections, multidrug-resistant organisms, outbreak response, surveillance, infection prevention and control, and related public health research methods. Ability to interpret complex analyses and prepare clear technical and non-technical reports, manuscripts, presentations, briefings, and other scientific products for diverse audiences. Ability to advise senior scientists and partners on statistical methodology, develop protocols and innovative analytic approaches, and provide rapid, high-quality analyses to support emergency response and critical decision-making. Minimum Qualifications: Master’s degree in biostatistics, statistics, epidemiology, public health, data science, or a closely related quantitative field. At least 3–5 years of progressively responsible experience conducting statistical or epidemiologic analyses, preferably in public health, healthcare, infectious disease, or HAI-related work. Demonstrated experience with statistical programming software such as SAS, R, Python, Stata, or equivalent , plus database/data-management tools such as REDCap, Access, SQL, or similar . Experience conducting and interpreting epidemiologic studies, including cohort and case-control analyses , surveillance data analysis, and multivariable statistical modeling. Experience preparing technical reports, presentations, or manuscripts and communicating statistical findings to scientific, programmatic, or management audiences; ability to work collaboratively with investigators and multidisciplinary teams. Preferred Qualifications: Experience with Bayesian inference, Markov Chain Monte Carlo (MCMC), network analysis, or disease modeling. Experience working with healthcare-associated infection (HAI), multidrug-resistant organism (MDRO), infectious disease, or outbreak surveillance data. Experience supporting public health emergency response, including rapid analysis and interpretation of data. Experience developing statistical analysis plans, research protocols, or innovative analytic approaches. Experience contributing to peer-reviewed publications, scientific presentations, technical reports, or federal/public health documents Pay and Benefits The salary range for this position is $90,000 to $100,000 annually. At Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience. As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.