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Homeโ€บCompaniesโ€บvmysmartprosโ€บRemote Public Health Analyst
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Remote Public Health Analyst

๐Ÿ“LOCATIONAll India
๐Ÿ“ˆEXPERIENCE2 to 6 Yrs
๐Ÿ•˜TYPEFull time
๐ŸฅIndustryMedical / Healthcare
๐Ÿ—“POSTED13 Aug 2026

01Overview

Note: The job is a remote job and is open to candidates in USA. Alpha Omega is looking for a Public Health Analyst with strong data management and analysis skills to support the CDC's HIV Prevention Capacity Development Branch. The role involves managing and analyzing epidemiological data using SAS, generating reports, and ensuring data quality.ResponsibilitiesConduct analysis and interpretation of data in SASEnter definitions of variables for survey questionnaires, including variable names, range labels, default values, and question stringsGenerate data retrievals and summary outputsSupport dissemination and reporting of data to stakeholdersWrite SAS programs to generate surveillance reportsProvide routine analysis and interpretation of data, data entry, coding, and transcriptionDevelop presentation graphics, Including MS Office products (PowerPoint, Word, Excel)Perform literature searches and summarize findings from the resulting literatureDevelop SAS programs for managing and validating dataReview output from the SAS programs and identify problems in the output (to make corrections in the way data are collected)Review data error logs, ensuring requested data modifications are performed according to protocolIdentify errors/omissions of variable formats or labelsDocument problems and proposed corrections before finalizing data setReview the quality of weights as indicatedDocument problems with the SAS program and any proposed corrections needed to finalize dataReview SAS programs generated to create analysis variables for the cycle by comparing code with similar SAS code known to be valid for creating the variable (e.g., from past cycles or another programmer) or by generating cross-tabulations of the variables comprising analysis variablesMerge data from various sources into spreadsheets; conduct necessary steps to ensure quality of resulting mergeAssist with developing data management processes and protocolsSupport development of thematic summariesSkillsBachelor's degree in health informatics, public health, statistics, or related field and 6 years of experience, or master's degree and 2 years or PhD2-3 years of experience in generating SAS-based reports using a variety of methods (e.g., PROC REPORT, PROC TABULATE) and exporting those reports to other formats such as Microsoft Excel, PDF, and HTMLSkill in manipulating and cleaning data, managing, and validating datasets using a variety of SAS functions, formats/informats, macros, and proceduresDemonstrated ability to work with multiple data sources to monitor and assess data to ensure data quality, including accuracy and completenessExperience conducting descriptive and basic inferential analyses and regression modeling (e.g., logistic or linear)Experience maintaining datasets, codebooks, and analytic documentationExperience working with qualitative data (interviews, open-ended responses)Ability to create tables, figures, and summaries for reportsAbility to communicate analytic results clearlyAbility to follow established analytic plans and support development of new analysesR and Python skills are preferred for data management and basic statistical analysisKnowledge of behavioral and social science research methodsExperience supporting research reports, presentations, or manuscriptsDetail oriented and able to create meticulous documentation of variables, datasets, and data attributes with a commitment to generating accurate data and productsStrong organizational, interpersonal skills, and ability to meet deadlinesKnowledge of or interest in HIV, behavioral surveillance, or public health dataAbility to manage multiple tasks across projects (e.g., SHIELD, NEXUS, IDU-SP)Possess advanced methodology skills or interest in learning (e.g., machine learning, NLP, latent class analysis)Willingness to learn new analytic tools and methods as project needs evolveExposure to integrating qualitative and quantitative findingsBasic understanding of reproducible workflows (e.g., organized code, version tracking)Interest in or exposure to mixed methods approachesFamiliarity with MAXQDA, NVivo, or similar softwareAbility to assist with coding and applying codebooksFamiliarity with survey data and weighting conceptsBenefits15 days PTO including paid parental, military, and bereavement leaveEleven (11) paid Federal holidays, five of which are floating holidays (as designated by the companys holiday schedule each year)Health and Dental Insurance (including 100% employer paid premiums for employee coverage under the HDHP health plan)Life Insurance, STD/LTD term disability coverage, with employer paid premiums401 (k) plan with a match that is 100% vested after you complete two years of serviceFSA/DFSA/HSA flexible benefit plansAnnual Tuition & Professional Development Reimbursement benefitJoining the Alpha Omega team entitles you to participate in all retirement benefits, plans of deferred compensation, health and insurance benefits, and other such benefits as set forth in .

02What you'll need

Experience
2 to 6 Yrs
Employment Type
Full time
Programming languages
SASdata managementdata analysisMS Officedata validationdata cleaningRepidemiological dataliterature searchesregression modeling

03About VMYSMARTPROS

Medical / HealthcareIndustry
Full timeEmployment Type
All IndiaLocation
Not Disclosed ยท salary hidden by employer
2 to 6 Yrs ยท All India
Applications are reviewed directly by the hiring team.
Role Snapshot
Work ModeNot specified
Visa SponsorshipNot specified
RelocationNot specified
Job TypeFull time
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VMYSMARTPROS
Medical / Healthcare
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