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Remote Spatial Epidemiology Jobs (NOW HIRING)

Phylogenetics, phylodynamics, viral evolution, genomic epidemiology, transmission analysis, and ... Host-response analysis using bulk RNA-seq, single-cell RNA-seq, spatial data, immune-receptor ...

AI Biologist

San Francisco, CA · Remote

$120K - $180K/yr

Phylogenetics, phylodynamics, viral evolution, genomic epidemiology, transmission analysis, and ... Host-response analysis using bulk RNA-seq, single-cell RNA-seq, spatial data, immune-receptor ...

New

AI Biologist

San Francisco, CA · Remote

$120K - $180K/yr

Phylogenetics, phylodynamics, viral evolution, genomic epidemiology, transmission analysis, and ... Host-response analysis using bulk RNA-seq, single-cell RNA-seq, spatial data, immune-receptor ...

New

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... We will be developing both general methods for spatial targeting of surveillance and reactive ...

Remote Spatial Epidemiology information

See salary details

$45K

$85.2K

$133K

How much do remote spatial epidemiology jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote spatial epidemiology in the United States is $85,222.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $101,000.00 per year, depending on experience, location, and employer.

How do remote spatial epidemiologists typically collaborate with multidisciplinary teams on research projects?

Remote spatial epidemiologists often work closely with professionals from public health, data science, environmental science, and GIS backgrounds. Collaboration typically involves regular virtual meetings, sharing and interpreting spatial data, and jointly developing study designs and reports. Effective communication and use of cloud-based tools are essential to coordinate tasks, discuss findings, and ensure data security. Building strong virtual relationships with team members helps streamline workflows and contributes to successful project outcomes.

What is remote spatial epidemiology?

Remote spatial epidemiology is a field that combines the study of disease patterns in populations (epidemiology) with spatial analysis, often using geographic information systems (GIS) and remote sensing data. Professionals in this field analyze how diseases spread and are distributed across different locations, often working remotely with digital tools and datasets. Their work helps public health organizations understand environmental and demographic factors that influence disease outbreaks. By working remotely, they can collaborate with global teams and access data from various regions without being physically present.

What are the key skills and qualifications needed to thrive as a remote spatial epidemiologist, and why are they important?

To thrive as a Remote Spatial Epidemiologist, you need a solid background in epidemiology, statistics, and geographic information systems (GIS), typically supported by an advanced degree in public health or a related field. Proficiency with spatial analysis tools like ArcGIS, QGIS, and statistical software such as R or Python is essential, along with familiarity with remote data collection techniques. Strong analytical thinking, attention to detail, and effective communication skills are crucial for interpreting complex spatial data and collaborating remotely with multidisciplinary teams. These skills and qualities enable precise analysis of disease patterns, inform public health interventions, and ensure effective remote collaboration on geographically dispersed projects.
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What cities are hiring for Remote Spatial Epidemiology jobs?

Cities with the most Remote Spatial Epidemiology job openings:

What are the most commonly searched types of Spatial Epidemiology jobs?

The most popular types of Spatial Epidemiology jobs are:

What states have the most Remote Spatial Epidemiology jobs?

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What job categories do people searching Remote Spatial Epidemiology jobs look for?

The top searched job categories for Remote Spatial Epidemiology jobs are:

Infographic showing various Remote Spatial Epidemiology job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution, with an average salary of $85,222 per year, or $41 per hour.

AI Biologist - Biosurveillance

LatchBio

San Francisco, CA • On-site, Remote

$120K - $180K/yr

Full-time

Re-posted 22 days ago


Job description

Bioinformatics Engineer - Biosurveillance
As molecular data generation and frontier model intelligence grows, new approaches to data analysis are needed across the biotech industry. Latch is building intelligent, high-performance agents for biological data analysis, empowering over 5,000 scientists across 150+ R&D labs to handle data from instrument-to-insights.
We're seeking a Bioinformatics Engineer to join our Biosurveillance team, working at the frontier of what artificial intelligence can achieve in biology.
About the Role
You will contribute to our technical approach to teaching agents how to understand and handle complex infectious disease surveillance and molecular epidemiology data, working across end-to-end analysis workflows from sequencing outputs to real scientific decisions.
You will work as part of a team of software engineers and biologists building datasets to teach these agents to reason better across:
  • Clinical or environmental metagenomics, including sequencing quality control, taxonomic classification, contamination assessment, pathogen discovery, and metagenomic assembly.
  • Viral genome reconstruction, annotation, consensus generation, lineage or subtype assignment, and sequencing quality assessment.
  • Variant calling, within-host diversity, mixed infections, haplotype reconstruction, recombination, and reassortment.
  • Phylogenetics, phylodynamics, viral evolution, genomic epidemiology, transmission analysis, and outbreak reconstruction.
  • Wastewater, air, or environmental surveillance, including mixture analysis, abundance estimation, and integration with clinical surveillance.
  • Molecular assay design, including qPCR primers and probes, tiled amplicon schemes, inclusivity and exclusivity analysis, and assay-dropout monitoring.
  • Host-response analysis using bulk RNA-seq, single-cell RNA-seq, spatial data, immune-receptor sequencing, or other multiomic measurements.
  • Antigenic evolution, immune escape, vaccine-strain selection, antiviral resistance, or viral protein analysis.
  • Infectious disease modeling, forecasting, population surveillance, and integration of genomic, epidemiological, and clinical data.
  • Public-health bioinformatics, reproducible scientific software, data standards, uncertainty assessment, and communication of results to scientific decision-makers.

Experience across every area is not required. We value candidates who have developed depth in one area and can reason carefully across adjacent disciplines.
Requirements
  • 3+ years hands-on experience with infectious disease surveillance, metagenomics, or molecular epidemiology data
  • Proficiency in Python and/or R

Culture @ Latch
How we work. Genuinely flexible schedules - we just ask that you communicate when you're coming in later than usual. We care most about hard work and output. We're respectfully opinionated, it will always be us against problems, not each other. Optimize for each other's time and bring solutions, not just problems. You'll join a bench suited to your expertise, but we value cross-domain learning and interoperability across teams.
The office & perks. Waterfront office near Oracle Park, 2x free daily meals, unlimited snacks, company outings most months, and team offsites. Plus a vibrant community: cycling, soccer, figure skating, boxing, run clubs, reading clubs, martial arts, music, game nights.
Compensation & Logistics
  • 1099 (or W8-BEN) contract, 40 hrs/week, no end date
  • Fully performance-based pay: $120K-$180K, uncapped upside. 2x quota = 2x pay.
  • 2-4 week paid ramp - full OTE from day one
  • Remote (globally), hybrid, or onsite in SF (onsite preferred)
  • Work authorization: OPT visa holders only (not STEM Extension)
  • Onsite perks: 2x free meals/day, waterfront office (China Basin), monthly parking (based on availability)
  • Candidates with all of the above qualifications + proven management skills will be eligible for more senior positions

Interview Process
Timeline: We move fast: 8-12 days from submission to offer.
  1. Intro Screen - Technical Recruiter
  2. Take-Home Project - HackerRank
  3. Technical Interview - Member of Technical Staff
  4. Culture Interview - C-Suite (If applicable)
  5. Offer

LatchBio logo

About LatchBio

Sourced by ZipRecruiter

Industry

Biotechnology research and development

Company size

11 - 50 Employees

Headquarters location

San Francisco, CA, US

Year founded

2021

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