{"id":100703,"url":"https://alion.io/job/guidehouse-epidemiologist-data-scientist-2","title":"Epidemiologist Data Scientist","company":{"id":4179,"name":"Guidehouse","domain":"guidehouse.com","url":"https://alion.io/company/guidehouse","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":82,"open_postings":118,"ghost_share":0,"stale_share":0.712,"repost_share":0.017,"time_to_fill_p50_days":29,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Antonio, United States","Houston, United States","Charlotte, United States","Huntsville, United States","Atlanta, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":70000,"max_usd":155000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":188},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"QGIS","optional":false},{"name":"SAS","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"NLP","optional":true}],"status":"closed","first_seen_at":"2026-08-11T00:00:00Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-05T03:49:52Z","board_verified":false,"closed_at":"2026-11-05T03:49:52Z","days_open":86,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":85},"description":"Job Family:\nData Science & AnalysisTravel Required:\nUp to 10%Clearance Required:\nAbility to Obtain Public TrustWhat You Will Do :\nLead quantitative analysis and modeling of real-world data, including CMS, commercial claims, and clinical health data, to generate actionable insights for federal public health.\n\nLead analyses to estimate chronic disease population-level prevalence and incidence leveraging real-world data.\n\nDesign, implement, and refine machine learning and statistical models (e.g., regression, clustering, causal inference) for surveillance and research purposes.\n\nDevelop and maintain data pipelines and dashboards for large-scale health datasets using R, Python, and SQL.\n\nUtilize DataBricks and Snowflake for scalable data processing and analytics.\n\nCollaborate with epidemiologists, clinicians, and public health experts to interpret findings and inform CDC policy and strategy.\n\nPrepare scientific reports, presentations, and publications for both technical and non-technical audiences.\n\nEnsure data quality, documentation, and reproducibility across all analytic workflows.\n\nSupport onboarding and training of new team members as needed.\n\n What You Will Need:\nMust be able to OBTAIN and MAINTAIN a Federal or DHS \"PUBLIC TRUST.\n\nMasters degree in Data Science, Epidemiology, Public Health, Biostatistics, or STEM related field.\n\nTWO (2) or more years material experience in health data science and epidemiology, including deep experience analyzing real-world data (RWD), including surveillance, commercial claims data, clinical data, or other large health datasets to generate epidemiological population-level estimates.\n\nExperience in R, Python (including libraries such as Pandas, NumPy, Scikit-learn), and SQL, including large data set manipulation.\n\nExperience in biostatistics and using statistical platforms - specifically SAS; ideal experience in SAS to R conversions - and conducting epidemiological analyses\n\nExperience in geospatial analyses using QGIS, ArcGIS, etc.\n\nExperience with statistical modeling, machine learning, and data visualization.\n\n What Would Be Nice To Have:\nExperience with generative AI, NLP, or advanced analytics in healthcare settings.\n\nStrong background in population-level public health, with experience in scientific writing and presentation.\n\nExcellent communication and collaboration skills.\n\nAbility to work in a fast-paced environment independently to produce high-quality deliverables on-time\n\nPrior experience conducting real-world evidence (RWE) studies\n\nFamiliarity with public health surveillance systems, local/state/federal health programs, or similar public sector environments.\n\nExperience in disease surveillance\n\nExperience with DataBricks, Snowflake, and/or Palantir Foundry.\n\nPrior publication history in peer-reviewed journals\n\nPrior work in consulting and working with multi-disciplinary teams and stakeholder engagement.\n\n What We Offer:\nGuidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.\nBenefits include:\nMedical, Rx, Dental & Vision Insurance\n\nPersonal and Family Sick Time & Company Paid Holidays\n\nParental Leave\n\n401(k) Retirement Plan\n\nGroup Term Life and Travel Assistance\n\nVoluntary Life and AD&D Insurance\n\nHealth Savings Account, Health Care & Dependent Care Flexible Spending Accounts\n\nTransit and Parking Commuter Benefits\n\nShort-Term & Long-Term Disability\n\nTuition Reimbursement, Personal Development, Certifications & Learning Opportunities\n\nEmployee Referral Program\n\nCorporate Sponsored Events & Community Outreach\n\nCare.com annual membership\n\nEmployee Assistance Program\n\nSupplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)\n\nPosition may be eligible for a discretionary variable incentive bonus\n\nAbout Guidehouse\nGuidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.\nGuidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.\nIf you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.\nAll communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.\nIf any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.\nGuidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. 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