Wastewater Surveillance and Epidemiology Subject Matter Expert

Invoti L.L.C.; United States; Sur place; USD 83 000 - 124 000; Temps partiel

Résumé du poste

Invoti L.L.C. seeks a Wastewater Surveillance and Epidemiology Subject Matter Expert to guide data modeling, normalization, and disease forecasting for a regional wastewater analytics platform.

This part-time role is remote with periodic travel to Kansas City, MO, and entails collaborating with data engineering, GIS and dashboard teams. The ideal candidate holds an advanced degree in epidemiology or related field, 3+ years in wastewater-based epidemiology, and hands-on experience with

Qualifications

• MPH, MS or PhD in epidemiology, biostatistics, environmental engineering, environmental microbiology or a related field.
• 3+ years of wastewater-based epidemiology work with a public health agency, public health laboratory or academic program.
• Working knowledge of qPCR/ddPCR results, sampling methods and normalization approaches.
• Familiarity with CDC NWSS data standards.
• Experience building and validating time-series or forecasting models in R or Python.
• Ability to explain methods and limitations to non-technical audiences.

Responsabilités

• Assess how laboratories and jurisdictions in the region sample and test wastewater, and identify where methods differ.
• Define the scientific content of the common data model: targets, assays, recovery controls, quality flags and method metadata.
• Recommend and document normalization methods (flow, population, fecal-strength markers) and agree them with client’s laboratory partners.
• Design forecasting and trend-detection models for infectious disease and opioid prevalence, and validate them against clinical surveillance data.
• Set model performance metrics and document assumptions, limitations and responsible-use safeguards.
• Review dashboard content so public and agency messaging is scientifically accurate.
• Recommend future indicators for expanding the platform.
• Present methods to health departments, state laboratories and advisory groups.

Connaissances

Epidemiology

Biostatistics

Time-series

R/Python

Formation

MS/PhD in Epidemiology

Description du poste

Wastewater Surveillance and Epidemiology Subject Matter Expert

Invoti L.L.C. ·

Duration

Part-time, 25–35% · November 2026 – July 2027 · Remote, with periodic travel to Kansas City, MO

About the role

Project involves development of regional wastewater data and predictive analytics platform for our client. We need a scientific lead who will guide the data model, normalization methods, and disease forecasting models. You will work alongside our data engineering, GIS and dashboard team.

Responsibilities

• Assess how laboratories and jurisdictions in the region sample and test wastewater, and identify where methods differ.
• Define the scientific content of the common data model: targets, assays, recovery controls, quality flags and method metadata.
• Recommend and document normalization methods (flow, population, fecal-strength markers) and agree them with client’s laboratory partners.
• Design forecasting and trend-detection models for infectious disease and opioid prevalence, and validate them against clinical surveillance data.
• Set model performance metrics and document assumptions, limitations and responsible-use safeguards.
• Review dashboard content so public and agency messaging is scientifically accurate.
• Recommend future indicators for expanding the platform.
• Present methods to health departments, state laboratories and advisory groups.

Required qualifications

• MPH, MS or PhD in epidemiology, biostatistics, environmental engineering, environmental microbiology or a related field.
• 3+ years of wastewater-based epidemiology work with a public health agency, public health laboratory or academic program.
• Working knowledge of qPCR/ddPCR results, sampling methods and normalization approaches.
• Familiarity with CDC National Wastewater Surveillance System (NWSS) data standards.
• Experience building and validating time-series or forecasting models in R or Python.
• Ability to explain methods and limitations to non-technical audiences.

Preferred qualifications

• Experience with opioid or drug-metabolite wastewater analysis.
• Experience with multi-jurisdiction or regional surveillance programs.
• Experience with geospatial or sewershed-level analysis.
• Published or presented work on wastewater surveillance.