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Remote Spatial Reasoning Jobs (NOW HIRING)

Duranta

Computer Vision Engineer

Seattle, WA ยท On-site +1

$160K - $275K/yr

... Spatial Intelligence. Duranta's founding team have built unicorns, had successful exits and ... Experience with high-res aerial/remote sensing imagery and LiDAR * Experience with self-supervised ...

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Remote Spatial Reasoning information

What is a remote spatial reasoning job?

A remote spatial reasoning job involves tasks that require the ability to visualize and manipulate objects or data in space, often from a remote or work-from-home setting. These jobs can be found in fields like architecture, engineering, data analysis, or game design, where understanding spatial relationships is crucial. Remote workers use specialized software and tools to solve problems, design layouts, or analyze spatial data without being physically present at a worksite. Strong spatial reasoning skills help professionals interpret maps, create 3D models, or optimize workflows. These roles typically require a combination of technical expertise and the ability to work independently.

What are some common challenges faced when working remotely in a spatial reasoning role, and how can they be addressed?

Working remotely in a spatial reasoning role often involves collaborating on complex, visual tasks such as 3D modeling, design, or data interpretation. Common challenges include limited access to high-performance computing resources, potential miscommunication due to lack of in-person interaction, and difficulties in sharing large visual files or models. To address these challenges, teams often use cloud-based collaboration platforms, schedule regular video meetings to clarify concepts, and establish clear file-sharing protocols. Leveraging specialized software that supports remote teamwork can also help maintain productivity and ensure everyone stays aligned.

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

To thrive as a Remote Spatial Analyst, you need expertise in spatial analysis, geographic information systems (GIS), and a solid foundation in geography, cartography, or a related field, often supported by relevant degrees or certifications. Proficiency with GIS software (such as ArcGIS or QGIS), remote sensing tools, and data visualization platforms is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interpret spatial data and convey findings to diverse stakeholders. These competencies are essential for producing accurate spatial insights that inform decision-making in fields like urban planning, environmental management, and logistics.

What careers use spatial reasoning?

Careers that use spatial reasoning include architecture, engineering, surveying, urban planning, and computer-aided design (CAD). These roles require visualizing objects in three dimensions, understanding spatial relationships, and often involve working with specialized software or tools. Strong spatial skills are essential for problem-solving and designing in many technical and creative fields.
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Remote Spatial Reasoning jobs near you
Infographic showing various Remote Spatial Reasoning job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 59% Full Time, 35% Part Time, 3% Contract, and 1% Nights. Highlights an 70% Physical, 1% Hybrid, and 29% Remote job distribution.

AI Biologist - Cancer Biology (Applications)

San Francisco, CA โ€ข On-site, Remote

LatchBio
Biotechnology Research and Developmentย โ€ขย 11 - 50 employees
Learn more about LatchBioexternal

$120K - $180K/yr

Full-time

Posted 11 days ago

Key responsibilities

  • Identify real cancer-biology datasets and turn them into rigorous, deterministically-graded tasks.

  • Establish defensible reference analyses and scoring criteria across conclusion types and benchmark measures.

  • Test whether AI agents can handle experimental variability, incomplete data, conflicting evidence, and mechanism-driven tradeoffs in cancer biology workflows.

Job description

AI Biologist - Cancer Biology (Applications)
Latch builds rigorous, scientific benchmarks (benchmarks.bio) for AI agents across biology. We work with frontier labs and pharma to measure whether agents can handle real biological workflows; the messy, multi-layer reasoning that matters in the field.
About the Role
Our work in Cancer Biology means measuring whether an agent can take a tumor case from raw molecular data to a real clinical decision. You'll identify real cancer-biology datasets and turn them into rigorous, deterministically-graded tasks.
Our benchmarks are agentic and cross-domain. Each task hands an agent the artifacts a cancer researcher would actually have and asks for a concrete conclusion. Your job is to establish defensible reference analyses and scoring criteria across conclusion types, the benchmark measures that span basic cancer biology to clinical outcomes. You'll anticipate where agents take plausible but wrong turns and test whether they can handle experimental variability, incomplete data, conflicting evidence, and mechanism-driven tradeoffs.
Our team emphasizes cross-domain integration and long-horizon reasoning.
Requirements
  • 1+ years personally working in basic, translational, or clinical cancer biology. Experience with hands on analysis of multi-omic tumor data hands-on somatic/germline variant calling and interpretation (WES/WGS/panel; MAF/VCF), copy-number and structural-variant analysis, mutational signatures, bulk and single-cell RNA-seq (cell-state annotation, subtyping), tumor-immune contexture (immune deconvolution, spatial transcriptomics, multiplex imaging), subclonal reconstruction, or functional-genomics screens (CRISPR/RNAi), or clinical research is highly preferred.
  • Proficiency in Python and/or R: VCF/MAF parsing, single-cell analysis (Scanpy/Seurat), gene-set scoring (GSEA/ssGSEA), immune deconvolution (CIBERSORTx), subclonal reconstruction (PyClone), statistical analysis.
  • Understanding of cancer-genomics standards: AMP/ASCO/CAP and ACMG/AMP variant tiers, ESCAT and OncoKB actionability levels, PAM50 and Consensus Molecular Subtypes, IFN-ฮณ/T-cell-inflamed signature, consensus Immunoscore.
  • Recognize experimental variability, and assay limitations; distinguish real biological signal from pipeline or annotation artifact.
  • Strong written communication on technical decisions, uncertainty, and alternative interpretations.

Nice-to-Have
  • Familiarity with cancer-genomics resources and standards: TCGA/GDC, PCAWG, AACR Project GENIE, cBioPortal, OncoKB/CIViC/VICC, COSMIC signatures, HTAN, Human Cell Atlas, DepMap/Project Score, gnomAD/ClinVar, MSigDB.
  • Breadth across multiple conclusion types like: diagnosis, mechanism, clonal evolution, immune contexture, target nomination, actionability.
  • Prior work on benchmarks, task-based assessment, or deterministic grading.

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.
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 - OTE: $120K-$180K, uncapped upside. 2x quota = 2x pay.
  • 2-4 week paid ramp: full OTE during ramp
  • 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
  5. Offer
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About LatchBio

Sourced by ZipRecruiter

Industry

Biotechnology research and development

Company size

11 - 50 Employees

Headquarters location

San Francisco, CA, US

Year founded

2021

Social media

Twitter

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