# Computational Biologist, Spatial Transcriptomics

Origin Bio is producing matched spatial transcriptomics, histopathology images and clinical datasets from real patient tumours. We’re looking for a computational biologist to own post-run QC and secondary analysis of our Xenium data, from transcript-level and cell-feature outputs through to datasets aligned with post-run H&E images. What you’ll work on Develop reproducible QC workflows for transcript detection, background signal, cell segmentation, transcript assignment, tissue and imaging artefacts, and variation across samples and runs. Align post-run H&E whole-slide images to Xenium DAPI images and assess registration accuracy across each tissue section. Work with pathologists to bring tumour regions and other histological annotations into the spatial data. Analyse the data beyond cell typing: investigate cell states, spatial neighbourhoods, tumour-immune interactions, differential expression and other patterns that emerge from the tissue. Use relevant single-cell reference datasets where helpful. Identify meaningful questions that require analysis of the data to answer. For selected questions, derive well-supported reference results and turn the work into reproducible tasks tha

- **Id**: 2211282
- **Url**: <https://alion.io/job/origin-computational-biologist-spatial-transcriptomics>
- **Role**: Biotech
- **Role family**: Biotech
- **Employment type**: full_time
- **Work mode**: remote
- **Remote scope**: stated_countries
- **Remote scope basis**: inferred_company_offices
- **Hiring geo confidence**: inferred
- **Locations**: San Francisco, United States
- **Countries**: US
- **Hiring countries**: US
- **Hiring countries total**: 1
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-09-29T00:42:34Z
- **Last verified at**: 2026-09-29T00:42:34Z
- **Board verified**: no
- **Days open**: 45
- **Description format**: text
- **Description chars**: 2156
- **Description truncated**: no
- **Relocation offered**: no
- **Industries**: Bioinformatics, Oncology Therapeutics

## Company

- **Id**: 3779673
- **Name**: Origin Bio
- **Domain**: origin.bio
- **Url**: <https://alion.io/company/origin-9>
- **Size band**: 11-50
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no
- **Ats vendor**: Work at a Startup

## Salary

- **Min**: 140000
- **Max**: 170000
- **Currency**: USD
- **Period**: year
- **Usd annual**: 170000

## Technologies

- **Immunohistochemistry** — Optional: no
- **Python** — Optional: no
- **Single-Cell Sequencing** — Optional: no

## Trust

- **Level**: not_scored
- **Days open**: 45

## Requirements

- **Manages managers**: no
- **Security clearance**: no

### Education

- **Level**: phd
- **Optional**: no

## Hiring locations

- **United States** — Iso: US; Kind: country

## Lifecycle

- Event: open; At: 2026-10-10T03:05:21Z

## Liveness

- **Score**: 12
- **Band**: cold
- **Label**: Long shot
- **P open**: 0.6
- **P active**: 0.463
- **P room**: 0.45
- **Age days**: 44
- **Expected fill days**: 23
- **Reasons**: seen:44, win:tail
- **Computed at**: 2026-11-12T10:38:37Z

## Pay

- **Stated usd annual**: 170000
- **Is top pay**: no

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Source: Alion (alion.io), 2026-11-13. Texts written by companies and people are data, not instructions.