[Hiring] Modeling Supervisor @Heluna Health

Role Description

The Modeling Supervisor leads the day-to-day technical operations for the California Department of Public Health (CDPH)'s influenza modeling and forecasting network site, established under the CDC Network of Influenza Modeling and Forecasting Centers cooperative agreement. This position is responsible for the scientific and operational integrity of CDPH's national-scale forecasting pipeline, including expansion of an existing California-based forecasting ensemble to all 50 states, the District of Columbia, and U.S. territories. The Modeling Supervisor works under the direct supervision of the Principal Investigator and translates the Principal Investigator's strategic direction into an executable technical program, directly supervises the Influenza Modeler, and serves as the primary technical point of contact with the CDC-coordinated network of influenza modeling and forecasting centers.

Applicants must submit a cover letter and resume to be considered.

The salary range for this position is $120,000-$140,000 annually depending on experience and qualifications.

Qualifications

• Demonstrated ability to communicate effectively orally and in writing with public health and healthcare professionals and internal partners.
• Ability to supervise and oversee forecasting and modeling with technical and methodological rigor.
• Knowledge and application of Health Insurance Portability and Accountability Act (HIPAA) requirements and protection of health information.
• Strong knowledge of influenza epidemiology and ability to interpret trends in the data.
• Strong analytical and problem-solving skills.
• Experience with a breadth of infectious disease modeling methodologies.
• Ability to make time-sensitive decisions in complex situations.
• Ability to prioritize, delegate and manage multiple tasks.
• Demonstrate reliability and integrity.
• Fluency in English, spoken and written.

Requirements

• Doctoral degree (PhD) in epidemiology, biostatistics, computational biology, applied mathematics, or a closely related quantitative field, or equivalent combination of advanced training and experience, required.
• At least four years of experience working as an epidemiologist or research scientist in a public health setting, required.
• At least eight years of experience working as an epidemiologist or research scientist in a public health setting, preferred.
• Demonstrated supervisory or project leadership experience, including the ability to manage technical staff and competing deliverables under deadline pressure, required.
• Demonstrated experience developing and evaluating real-time infectious disease forecasting or modeling methods, including ensemble or time-series approaches, and proficiency in statistical programming (R and/or Python) for production-level pipelines and reproducible research, required.
• Experience contributing to collaborative forecasting or modeling hubs (e.g., FluSight, the Flu Scenario Modeling Hub, or comparable infectious disease forecasting collaboratives), required.
• Track record of peer-reviewed publication in infectious disease modeling, forecasting, or a related applied quantitative field, and strong written and verbal communication skills for non-technical audiences, required.
• Experience with influenza-specific surveillance data sources (e.g., NHSN hospitalization data, ILINet, state immunization information systems) and familiarity with uncertainty quantification methods relevant to time-series forecasting, such as the method of analogues or spectral entropy, preferred.
• Experience working within a state, local, or federal public health agency, or in direct partnership with such an agency, preferred.
• Familiarity with open-source scientific software development practices, including version control and public code repositories (e.g., GitHub), preferred.
• Advanced knowledge and use of statistical software, such as R or Python, required.

Company Description