If you searched Superstar Sourcing for Epidemiologist - Forecasting (with 1 additional requirement) on January 3, 2026 you'd find 415 great candidates

D**** D***

Principal, Exponent Inc. | Adjunct Professor, Brown University School of Public Health

This candidate is an accomplished Epidemiologist with extensive experience across academia and industry, including roles explicitly mentioning Epidemiology and Public Health. Principal at Exponent → Adjunct Professor at Brown SPH, prior roles as Principal Epidemiologist/Scientist. Excellent.

H**** B****

Epidemiologist at State of Washington

Excellent fit - this professional has spent over two decades working directly as an Epidemiologist for the State of Washington. Epidemiologist (23 years) → Research Coordinator. Excellent.

N**** B****

Statistician with experience working on applied projects with multi-disciplinary teams

Perfect match: current work is as an Epidemiologist in public health, with explicit experience in statistical modeling, and dissertation focused on predictive modeling (forecasting). Statistician → PhD Stats, applied modeling in pregnancy/child health, dissertation involves prediction. Excellent.

M**** B****

Epidemiologist at Centers for Disease Control and Prevention

This candidate is an excellent fit, working as an Epidemiologist at CDC with explicit experience in mathematical modeling and influenza forecasting efforts. Epidemiologist @ CDC (16+ yrs) → Surveillance Coordinator @ CDC. Excellent.

B**** G****

Epidemiologist at State of Oregon

Currently employed as an Epidemiologist for a state public health agency, hitting all required criteria implicitly or explicitly based on the title and employer. State of Oregon Epidemiologist, current role matches job title, implying required skills. Excellent.

J*** B****

Senior Epidemiologist at NYAM

Listed as a Senior Epidemiologist in the headline and recent experience, strongly implying fulfillment of the core role and public health relevance. Senior Epidemiologist at NYAM. Senior Epidemiologist at NYAM. Strong.

N**** K****

Senior Director of Epidemiology at GlobalData Healthcare

This candidate is a strong epidemiologist with direct experience applying statistical models to incidence data, suggesting forecasting potential. Senior Director of Epidemiology → Director → Associate Director → Managing Epidemiologist → Senior Epidemiologist → Epidemiologist at MA DPH, 14 years total experience. Excellent.

C**** C****

Assistant Professor of the Practice of Epidemiology, Brown University School of Public Health

Excellent fit, currently an Assistant Professor of Epidemiology, leading surveillance, research, and advanced statistical analysis, which strongly implies forecasting capability. Director/Epidemiologist RI Dept Children (20 yrs) → Asst Prof Brown (23+ yrs). Excellent.

A**** K****

Team Lead at Centers for Disease Control and Prevention

This individual has significant long-term experience as an epidemiologist, including system development and analysis highly suggestive of modeling/forecasting capabilities. CDC Team Lead/Epidemiologist → Surveillance work in Florida DOH managing ESSENCE system. Excellent.

K**** H****

Independent Research Consultant, Epidemiology

Excellent fit, displaying recent consultant work as an Epidemiologist with explicit experience in predictive modeling and statistical analysis. Stanford PhD in Epidemiology → Research Assistant/Consultant, PhD focusing on modeling/simulations. Excellent.

J**** R***

Senior Epidemiologist at Bayer Crop Science

This senior epidemiologist explicitly built disease forecast models in industry and used advanced statistical modeling (Bayesian, logistic regression) during graduate research. Senior Epidemiologist (Bayer) → Manager (GSK) → Senior Epidemiologist (DRG). Progression: Grad Researcher (UC Davis) → Epidemiologist (DRG) → Senior Epidemiologist (DRG) → Manager (GSK) → Senior Epidemiologist (Bayer).

E**** G****

Epidemiologist at Centers for Disease Control and Prevention

Excellent fit as an experienced epidemiologist with extensive public health background, though specific forecasting isn't explicitly detailed. CDC Health Scientist/Branch Chief → EIS Officer, MPH/PhD Epidemiology. Excellent.

K** K****

State Epidemiologist at Arizona Department of Health Services

An excellent match, this candidate has decades of experience serving as a State Epidemiologist within a Public Health department and held adjunct faculty roles in Epidemiology. AZ Dept Health (State Epi 17+ yrs) → CSTE executive board → Adjunct Faculty (Epi/Biostats). Yes for Epi, No for Forecasting experience, Yes for Statistical Modeling (implied by Epi leadership), Yes for Public Health.

M**** B****

Genomic Epidemiologist and Informatician at Massachusetts Department of Public Health

This candidate directly mentions project lead work for academic collaborations to forecast targets and implement outbreak analytics, making them an excellent fit. Genomic Epidemiologist leading WGS data integration and outbreak analytics at MDPH; academic collaboration on forecasting targets. MDPH informatics specialist → current role. Excellent.

O**** G****

Co-Founder of epi[x]. Co-lead of Imperial College's online course: Science Matters: Let's Talk About COVID-19.

This candidate explicitly mentions interest in epidemiological forecasting and has deep experience in epidemiological policy analysis. → Research Asst HIV Modelling Consort. → Teaching Fellow (Epi) IC → Co-Founder epi-x. Excellent.

O**** O****

Doctor of Public Health Candidate & Epidemiologist with the Michigan Department of Health and Human Services

Excellent fit serving as a current Epidemiologist in a state department, with clear public health mandates and experience in disease surveillance and SAS analysis supporting public health initiatives. State Epidemiologist → County Epidemiologist, heavy surveillance/reporting, MPH candidate. Excellent.

L**** C****

Epidemiologist at State of Hawaii

This candidate is an excellent fit, currently serving as a lead epidemiologist overseeing multiple state public health programs and managing complex surveillance systems. Seasoned public health professional → Chronic Disease Epidemiologist (9+ yrs), 17 years experience. Epidemiologist: yes, Forecasting experience: no, Statistical modeling: partial, Public health: yes

R*** J****

Epidemiologist at Centers for Disease Control and Prevention

Directly listed as an Epidemiologist currently employed at the CDC, hitting the core requirements immediately. Epidemiologist at CDC. Epidemiologist at CDC. Strong.

G**** K****

Leader in Analytic Decision Making and Health Statistics

This candidate explicitly mentions developing statistical models to predict outcomes using large datasets while serving as a Health Scientist at CDC, indicating strong statistical modeling and forecasting relevant to public health outcomes. Health Scientist (20 yrs total) at CDC → developed predictive statistical models, advised on surveillance systems. Excellent.

M**** S****

National Public Health Advisor, Epidemiologist, Senior Manager at SAS

Excellent fit with strong experience in epidemiology, public health, and explicitly mentions predictive modeling, which covers forecasting. Long tenure across consulting, academia, and government roles, including leadership. SAS Advisor/Consultant → Prof → Iowa DPH → AmeriHealth. Excellent.

L**** E****

Project Scientist at Cedars-Sinai Cancer, Epidemiologist

This individual is an experienced epidemiologist with a strong background in statistical modeling, though explicit forecasting experience is not detailed. Ex-CDC Statistician (producing life expectancy measures) → Postdoc → Project Scientist, PhD in Epidemiology/MPH. Excellent.

E**** W****

Epidemiologist who is also a skilled statistician. R is my weapon of choice.

This person is a highly experienced epidemiologist with a PhD whose background includes mathematical modeling of pathogen transmission, making them a strong fit. PhD Epidemiology → Postdoc at Yale Public Health → Research Affiliate at Fred Hutch/Public Health Seattle-King County, creating transmission models. Excellent.

L*** D****

Epidemiologist at the Michigan Department of Health and Human Services

This candidate is a current Epidemiologist with an MPH and explicitly lists public health and data analysis skills, hitting three of the four requirements strongly, missing only explicit forecasting/advanced statistical modeling beyond basic analysis mentioned via skills. Epidemiologist at State Health Dept (2 yrs) → MPH, strong public health focus. Excellent.

K**** K****

This candidate is a strong match combining applied epidemiology, data science, and policy evaluation. Economist/Epidemiologist → Harvard MS Epi/UIUC PhD → Director applying ML/causal inference to predict health outcomes. Strong.

U****

Transforming Public Health with Data Science | PhD in Epidemiology | Expert in Injury Prevention and Surveillance

This candidate is an experienced epidemiologist with strong public health leadership and data science skills, currently leading a data science team at the CDC. CDC → Data Science Team Lead (5 yrs), PhD in Epi, extensive public health experience. Excellent.

S**** S****

Deputy Director, Predict Division at Centers for Disease Control and Prevention

Very strong background, currently in a forecasting and analytics division director role, though the primary title is leadership/management rather than pure epidemiology. CDC Deputy Director (Predict Division) → HHS Sr Advisor → OMB Fellow, 25 years experience. Epidemiologist: partial, Forecasting experience: yes, Statistical modeling: partial, Public health: yes.

M**** F****

Pediatrician / epidemiologist / passionate about big data & population health

This candidate is a strong fit, explicitly mentioning epidemiological/financial modeling, computational epi research roles at CDC, and work at major health organizations. Pediatrician → CDC Epi Researcher/Modeler → Genentech Modeler role. Excellent.

J*** E***

Epidemiologist at The Kentucky Department for Public Health (DPH)

This candidate is a practicing epidemiologist heavily involved in data analysis and surveillance within a state public health department. Epidemiologist I at KY DPH → Research Associate at CTI, BA/BS in progress. Strong.

C**** V****

Data Scientist/Epidemiologist

This candidate is an excellent fit, explicitly labeling as an Epidemiologist with strong experience in predictive modeling and public health initiatives. Data Scientist/Epidemiologist with dual Masters (MPH, MBA) focusing on statistical analysis and predictive modeling across health settings. Excellent.

J**** M****

Epidemiologist, Washington State Department of Health

Clearly an experienced epidemiologist currently working in the public health sector with deep academic credentials usually associated with modeling. Epidemiologist at WA DOH (10+ yrs) → CDC EIS Officer → PhD Candidate in Nutrition/Health Sciences. Excellent.