Jobs via Dice
What You Will Do
Lead quantitative analysis and modeling of real‑world data, including CMS, commercial claims, and clinical health data, to generate actionable insights for federal public health.
Lead analyses to estimate chronic disease population‑level prevalence and incidence leveraging real‑world data.
Design, implement, and refine machine learning and statistical models (e.g., regression, clustering, causal inference) for surveillance and research purposes.
Develop and maintain data pipelines and dashboards for large‑scale health datasets using R, Python, and SQL.
Utilize DataBricks and Snowflake for scalable data processing and analytics.
Collaborate with epidemiologists, clinicians, and public health experts to interpret findings and inform policy and strategy.
Prepare scientific reports, presentations, and publications for both technical and non‑technical audiences.
Ensure data quality, documentation, and reproducibility across all analytic workflows.
Support onboarding and training of new team members as needed.
What You Will Need
Advanced degree (MS or PhD) in Data Science, Epidemiology, Public Health, Biostatistics, or related field.
Minimum five years of experience in health data science and epidemiology, with deep experience analyzing CMS or commercial claims data, clinical data, or other large health datasets to generate epidemiological population‑level estimates.
Strong proficiency in R, Python (including libraries such as Pandas, NumPy, Scikit‑learn), and SQL, including large dataset manipulation.
Demonstrated experience with statistical modeling, machine learning, and data visualization.
Experience with DataBricks and/or Snowflake.
Strong background in population‑level public health, with experience in scientific writing and presentation.
Excellent communication and collaboration skills.
Ability to work independently in a fast‑paced environment to produce high‑quality deliverables on time.
Nice to Have
Experience with generative AI, NLP, or advanced analytics in healthcare settings.
Deep experience in biostatistics and use of statistical platforms including SAS and R.
Familiarity with public health surveillance systems, federal health programs, or similar public sector environments.
Experience in chronic disease surveillance, preferably neurological conditions.
Prior consulting experience and stakeholder engagement with multidisciplinary teams.
The annual salary range for this position is $102,000.00–$170,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience, training, security clearances, licensure, certifications, and other business and organizational needs.
What We Offer
Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Discretionary variable incentive bonus opportunity
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life Insurance
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short‑Term & Long‑Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back‑Up Childcare Program
Mobility Stipend
About Guidehouse Guidehouse is an Equal Opportunity Employer – protected Veterans, Individuals with Disabilities, and all other bases protected by law, ordinance, or regulation. Guidehouse will consider qualified applicants with criminal histories in a manner consistent with applicable law and the Fair Chance Ordinance of Los Angeles and San Francisco.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Engineering and Information Technology; Software Development
#J-18808-Ljbffr
Lead quantitative analysis and modeling of real‑world data, including CMS, commercial claims, and clinical health data, to generate actionable insights for federal public health.
Lead analyses to estimate chronic disease population‑level prevalence and incidence leveraging real‑world data.
Design, implement, and refine machine learning and statistical models (e.g., regression, clustering, causal inference) for surveillance and research purposes.
Develop and maintain data pipelines and dashboards for large‑scale health datasets using R, Python, and SQL.
Utilize DataBricks and Snowflake for scalable data processing and analytics.
Collaborate with epidemiologists, clinicians, and public health experts to interpret findings and inform policy and strategy.
Prepare scientific reports, presentations, and publications for both technical and non‑technical audiences.
Ensure data quality, documentation, and reproducibility across all analytic workflows.
Support onboarding and training of new team members as needed.
What You Will Need
Advanced degree (MS or PhD) in Data Science, Epidemiology, Public Health, Biostatistics, or related field.
Minimum five years of experience in health data science and epidemiology, with deep experience analyzing CMS or commercial claims data, clinical data, or other large health datasets to generate epidemiological population‑level estimates.
Strong proficiency in R, Python (including libraries such as Pandas, NumPy, Scikit‑learn), and SQL, including large dataset manipulation.
Demonstrated experience with statistical modeling, machine learning, and data visualization.
Experience with DataBricks and/or Snowflake.
Strong background in population‑level public health, with experience in scientific writing and presentation.
Excellent communication and collaboration skills.
Ability to work independently in a fast‑paced environment to produce high‑quality deliverables on time.
Nice to Have
Experience with generative AI, NLP, or advanced analytics in healthcare settings.
Deep experience in biostatistics and use of statistical platforms including SAS and R.
Familiarity with public health surveillance systems, federal health programs, or similar public sector environments.
Experience in chronic disease surveillance, preferably neurological conditions.
Prior consulting experience and stakeholder engagement with multidisciplinary teams.
The annual salary range for this position is $102,000.00–$170,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience, training, security clearances, licensure, certifications, and other business and organizational needs.
What We Offer
Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Discretionary variable incentive bonus opportunity
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life Insurance
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short‑Term & Long‑Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back‑Up Childcare Program
Mobility Stipend
About Guidehouse Guidehouse is an Equal Opportunity Employer – protected Veterans, Individuals with Disabilities, and all other bases protected by law, ordinance, or regulation. Guidehouse will consider qualified applicants with criminal histories in a manner consistent with applicable law and the Fair Chance Ordinance of Los Angeles and San Francisco.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Engineering and Information Technology; Software Development
#J-18808-Ljbffr