{"id":1971094,"url":"https://alion.io/job/chenega-scientific-data-analyst-ii","title":"Scientific Data Analyst II","company":{"id":2131546,"name":"Chenega","domain":"chenega.com","url":"https://alion.io/company/chenega","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Atlanta, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":66000,"max_usd":127000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":807},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-06T19:20:27Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-13T09:06:35Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Overview\nCome join a company that strives for Extraordinary People and Exceptional Performance!Chenega Enterprise Systems & Solutions, LLC, a Chenega Professional Services company, is seeking a Scientific Data Analyst II to support the U.S. Centers for Disease Control and Prevention (CDC) by providing surveillance data management, data quality assurance, reporting, and analytics support. The successful candidate will support CDC's public health surveillance activities through effective management, modernization, validation, and dissemination of surveillance data while ensuring compliance with CDC scientific and data quality standards.Our company offers employees the opportunity to join a team where there is a robust employee benefits program, management engagement, quality leadership, an atmosphere of teamwork, recognition for performance, and promotion opportunities. We actively strive to channel our highly engaged employees' knowledge, critical thinking, and innovative solutions for our clients.\nWork Location:\nThe work under this position will be performed primarily in a telework environment, and/or with onsite support provided at CDC facilities as required and directed by the Contracting Officer's Representative (COR).\nPersonnel must be available during standard business hours and accessible via telephone, email, and virtual collaboration platforms.\nOccasional travel may be required to support meetings, conferences, training events, or other project-related activities, as authorized by the COR.\nResponsibilities\nAssist in assessing business needs and user requirements for data and information systems and support recommendations to improve data analysis, reporting, and dissemination through the adoption of innovative technologies and data-driven solutions.\nEvaluate and support the implementation of computational infrastructures, security practices, analytics tools, and information technology solutions that enhance data management and analytical capabilities.\nApply data science, machine learning, artificial intelligence, visualization, cloud-based, and analytical tools to derive insights from complex datasets and support scientific and programmatic objectives.Process Owner: Sr. Director, HRApproval Date: 02/09/2026 Page 2 of 4Information contained herein is proprietary to Chenega Corporation. Printed copies are obsolete after 11:59 PM October 5, 2026\nProvide technical support and guidance to program staff on the use of data science methods, analytical techniques, and data visualization tools.\nCollaborate with senior data scientists, researchers, and stakeholders to support the adoption and implementation of emerging data science methodologies and technologies.\nSupport the implementation of data governance frameworks, metadata standards, and best practices in coordination with Agency governance and technology organizations.\nAssist in evaluating existing data management practices, developing data management plans, and promoting effective data stewardship throughout the data lifecycle.\nProvide analytical support for data science initiatives, modernization efforts, and emerging projects while fostering collaboration across CDC programs and external partners.\nContribute to the management, integration, analysis, and visualization of large and complex datasets to support scientific research, public health programs, and organizational priorities.\nSupport the design, implementation, and maintenance of data and cloud-based solutions that improve access to data assets and organizational knowledge resources.\nDevelop and utilize statistical, computational, and analytical tools to support Data Modernization Initiative (DMI) activities and related data analytics projects.\nAssist in the development of user-centered analytical tools, dashboards, databases, and web-based solutions that enhance data accessibility and usability for diverse audiences.\nSupport strategic planning activities by contributing to the development of recommendations and roadmaps for advancing data systems, analytics capabilities, and knowledge management practices.\nAnalyze technical issues, identify potential solutions, and recommend corrective actions to support project objectives and operational efficiency.\nSupport researchers, scientists, and program staff in the development and application of electronic phenotypes, case definitions, and advanced analytical methodologies for public health and chronic disease research.\nPerform other duties as assigned.\nQualifications\nMinimum Qualifications:\nMaster's degree in Biostatistics, Statistics, Epidemiology, Public Health, Health Informatics, Data Science, Computer Science, or a closely related field.\nMinimum of three (3) years of experience supporting data analytics, data science, healthcare analytics, public health informatics, or related activities.\nDemonstrated experience using SQL for data extraction, transformation, validation, and management.\nExperience using SAS, Python, and/or R for data analysis and surveillance data processing.\nExperience analyzing and interpreting public health, healthcare, surveillance, or population-based datasets.\nExperience developing data quality assurance procedures and conducting data validation reviews.\nExperience in creating dashboards and reports using Power BI or similar business intelligence tools.\nStrong experience working with large, structured datasets and relational databases.\nStrong analytical, quantitative, and problem-solving skills.\nPreferred Qualifications:\nExperience supporting CDC, HHS, or other federal public health agencies.\nExperience working with public health surveillance systems, including infectious disease and chronic disease surveillance programs.\nExperience evaluating and utilizing healthcare data sources, including electronic health records, healthcare claims, commercial or federal healthcare datasets (e.g., HealthVerity, Premier, Truveta, IQVIA, PCORnet, MarketScan, CMS, HRSA, and VA).\nKnowledge of healthcare interoperability standards and common data models, including HL7, FHIR, and OMOP.\nExperience supporting CDC Data Modernization Initiative (DMI) efforts, CDC One Data Platform (1CDP), or other enterprise public health data platforms.\nExperience working with cloud-based analytics environments, large relational databases, and big data technologies.\nExperience developing data dictionaries, metadata standards, data governance documentation, and data management procedures.\nKnowledge, Skills and Abilities:\nAdvanced knowledge of public health surveillance methodologies, data management principles, and data quality assurance practices.\nProficiency in SQL, SAS, and R, with the ability to develop automated data processing and reporting workflows.\nStrong experience in data ingestion, cleansing, transformation, validation, and integration of large and complex datasets.\nProficiency in Power BI and other data visualization tools for developing dashboards, reports, and analytical products.\nAbility to analyze and interpret surveillance, healthcare, and population health data to identify trends, patterns, and data quality issues.\nStrong understanding of relational database structures, data governance concepts, and documentation best practices.\nExcellent analytical, critical thinking, and problem-solving skills.\nStrong written and verbal communication skills, including the ability to present technical information to both technical and non-technical audiences.\nAbility to manage multiple priorities in a fast-paced environment while working independently and collaboratively within multidisciplinary teams.\nExceptional attention to detail and commitment to data accuracy, integrity, and continuous process improvement.","description_format":"text","description_chars":7705,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-06T19:20:27Z"}],"visa":[],"liveness":{"score":53,"band":"ok","label":"Likely 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