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Remote Spatial Analysis Jobs in California (NOW HIRING)

AI Biologist - Biosurveillance

San Francisco, CA ยท On-site +1

$120K - $180K/yr

Host-response analysis using bulk RNA-seq, single-cell RNA-seq, spatial data, immune-receptor ... Remote (globally), hybrid, or onsite in SF (onsite preferred) * Work authorization: OPT visa ...

Senior Data Visualization Engineer

San Francisco, CA ยท On-site +1

$134K - $162K/yr

We're looking for a spatial thinker with a passion for remote sensing analysis and visual communication to join our team. You will help the Marketing and Communications Teams leverage Planet ...

Senior Software Engineer

Berkeley, CA ยท On-site +1

$150K - $250K/yr

... and spatial data structures - Constraint solving and optimization Simulation Integration ... Architected to support headless and remote. $150,000 - $250,000 a year We may use artificial ...

AI/Computer Vision Engineer

San Francisco, CA ยท On-site +1

$141K - $184K/yr

We are a team of more than 175 people working in a hybrid-remote environment across North America ... Scene understanding and spatial reasoning * Assist in developing speech recognition models for fire ...

Geospatial Technical Specialist

Riverside, CA ยท On-site +1

$83K - $166K/yr

... analyses for biological and cultural resource assessments. This position is remote (with the ... Efficiently generate spatial calculations and package geospatial data for deliverable submissions ...

This is a full-time onsite role based in Bentonville, AR or Sunnyvale, CA; remote and hybrid ... Perform elasticity analysis across large data sets and category segments to empower data-driven ...

Showing results 41-60

Remote Spatial Analysis information

What is remote spatial analysis?

Remote spatial analysis refers to the process of examining and interpreting spatial data collected from a distance, often using technologies such as satellite imagery, aerial photography, and geographic information systems (GIS). Professionals in this field use specialized software to analyze patterns, changes, and relationships in the data to support decision-making in fields such as environmental science, urban planning, agriculture, and disaster management. Remote spatial analysis enables organizations to monitor large or inaccessible areas, identify trends, and make data-driven decisions without being physically present at the location of interest.

What are the key skills and qualifications needed to thrive as a remote spatial analyst?

To thrive as a Remote Spatial Analyst, you need a strong background in geography, GIS, remote sensing, and data analysis, often supported by a relevant degree. Proficiency with GIS software (like ArcGIS or QGIS), remote sensing platforms, and scripting languages such as Python or R is typically required. Analytical thinking, attention to detail, and effective communication are essential soft skills that set top performers apart. These competencies are critical for accurately interpreting spatial data, delivering actionable insights, and collaborating effectively with multidisciplinary teams.

What are some common challenges faced by professionals in remote spatial analysis roles, and how can they be addressed?

Remote spatial analysts often face challenges related to data accessibility, communication across distributed teams, and ensuring data security. Working with large geospatial datasets remotely can require advanced data management tools and reliable internet connections. Effective collaboration with colleagues in different locations is crucial, so leveraging cloud-based GIS platforms and regular virtual meetings can help maintain project momentum. Staying up to date with the latest remote sensing technologies and best practices also helps overcome technical obstacles and enhances productivity.

What is the difference between Remote Spatial Analysis vs Remote GIS Specialist?

AspectRemote Spatial AnalysisRemote GIS Specialist
CredentialsDegree in Geography, GIS, or related field; certifications like GISPSimilar credentials; often holds GIS certifications
Work EnvironmentData analysis, modeling, and interpretation primarily using GIS softwareData management, map creation, and spatial data handling
Industry UsageUsed across urban planning, environmental science, transportationCommon in government agencies, environmental firms, utilities
Search & Comparison IntentUnderstanding analysis techniques and data interpretationFocus on map creation and spatial data management

Remote Spatial Analysis involves analyzing spatial data to derive insights, often focusing on modeling and data interpretation. Remote GIS Specialist emphasizes managing spatial data, creating maps, and maintaining GIS databases. While both roles require similar credentials and work environments, their core tasks differ: analysis versus data management. Understanding these distinctions helps job seekers target the right roles in the GIS industry.

What job categories do people searching Remote Spatial Analysis jobs in California look for?

The top searched job categories for Remote Spatial Analysis jobs in California are:

What cities in California are hiring for Remote Spatial Analysis jobs?

Cities in California with the most Remote Spatial Analysis job openings:

Infographic showing various Remote Spatial Analysis job openings in California as of August 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

AI Biologist - Biosurveillance

LatchBio

San Francisco, CA โ€ข On-site, Remote

$120K - $180K/yr

Full-time

Re-posted 12 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)

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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