Note: The job is a remote job and is open to candidates in USA. Goldbelt Professional Services provides scientific, technical, and administrative support for public health missions and is seeking a Data Analyst II to support the International Infection Control Program. The role provides advanced statistical and epidemiologic analysis, database management, scientific reporting, and consultation for infection prevention, healthcare-associated infections, outbreak response, and related public health activities.
Responsibilities
- 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
Skills
- • 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
- • 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
- • 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
Benefits
- Medical, dental, and vision insurance
- A 401(k) plan with company matching
- Tax-deferred savings options
- Supplementary benefits
- Paid time off
- Professional development opportunities
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