Pathogen Early-Warning Quantitative Researcher

SecureBio; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

SecureBio is building a pathogen-agnostic early warning system using metagenomic sequencing. The team seeks a seasoned epidemiologist/biostatistician to model infection spread, estimate detection reliability, and inform strategic decisions.

You will collaborate with laboratory scientists and leadership to guide system design, update detection estimates, and communicate complex results clearly to both technical and nontechnical stakeholders.

Qualifications

• Graduate degree in epidemiology, biostatistics, or related quantitative field with 5+ years experience.
• Proficiency in Python or R, with strong quantitative judgment and parameter estimation skills.
• Pragmatic, intellectually honest, and able to communicate clearly with technical and nontechnical stakeholders.

Responsibilities

• Build and update estimates of how early and reliably the system could detect emerging pathogens.
• Use metagenomic data to estimate key parameters like effective population contribution and viral abundance.
• Model tradeoffs across sampling strategies, sites, and sequencing depth, and share results early.
• Work closely with laboratory scientists and leadership to guide system design.

Skills

Quantitative analysis

Statistical estimation

Clear communication

Education

Graduate degree in epidemiology/biostatistics/related field

Tools

Python

R

Job description

SecureBio is building a pathogen-agnostic early warning system using metagenomic sequencing. The team seeks a seasoned epidemiologist/biostatistician to model infection spread, estimate detection reliability, and inform strategic decisions.

You will collaborate with laboratory scientists and leadership to guide system design, update detection estimates, and communicate complex results clearly to both technical and nontechnical stakeholders.