Medical Analyst analyzing engagement effectiveness with advanced analytics solutions aligned with Medical business strategies. Collaborating with cross - functional teams to provide insights for US Medical Affairs.
About the role
- Lead epidemiological data analysis for actionable insights in public health. Collaborate with clinicians and epidemiologists at Guidehouse for large-scale health datasets and modeling.
Responsibilities
- 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 CDC 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
Requirements
- Advanced degree (MS or PhD) in Data Science, Epidemiology, Public Health, Biostatistics, or related field
- Minimum FIVE (5) years of experience in health data science and epidemiology, including 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 data set 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 in a fast-paced environment independently to produce high-quality deliverables on-time
Benefits
- Medical, Rx, Dental & Vision Insurance
- Personal and Family Sick Time & Company Paid Holidays
- Position may be eligible for a discretionary variable incentive bonus
- Parental Leave and Adoption Assistance
- 401(k) Retirement Plan
- Basic Life & Supplemental Life
- 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
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
EU
Research Fellow/Trainee in Women's Health using Data Science and Health Information Technology. Developing interdisciplinary research skills and methodologies focusing on health research.
Senior Data Scientist developing Asset Management Analytics for Queensland Rail. Contributing to organisational KPIs and enhancing asset performance through data analysis and modelling.
Senior Data Science Advisor providing data for business decisions and developing solutions. Role involves advanced analytics in the property and casualty insurance industry with a focus on model development.
Cientista de Dados Sênior na Deroyque, integrando a equipe e dominando o ciclo completo de Machine Learning. Transformando dados em decisões inteligentes em ambiente híbrido.
Head of Data leading the data function at Stay22, enhancing data governance and monetization strategies.
Data Scientist at LawDepot optimizing the Checkout experience through data - driven decisions. Involves statistical analysis, experiment design, and collaboration to enhance revenue growth.
Data Scientist leveraging data insights and machine learning for operational efficiency and innovation. Collaborate with stakeholders to drive impactful strategic decisions.
Data Scientist at Sun Life leveraging data and analytics to support client - centric solutions. Collaborating with business units to apply advanced analytics and drive measurable value.
Principal Data Scientist at Early Warning overseeing analytic model development for fraud detection and risk assessment. Leading a team in a dynamic, data - rich environment with collaboration across departments.