Quantitative Researcher (Fully Remote)

SecureBio

United States

Remote

USD 140,000 - 200,000

Full time

35 hours ago
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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's Detection team is building a pathogen-agnostic early warning system using metagenomic sequencing.
  • You will model infection spread and assess detection reliability to inform strategic decisions.
  • Work closely with laboratory scientists and leadership to guide system design.

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.

Requirements:

  • 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.
SecureBio

SecureBio is a nonprofit dedicated to preventing pandemics through early detection. The team values rigor, pragmatism, and collaboration, working closely with scientists and leadership.

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