Computation & Data Specialist - AI-Ready Biofoundry Pipelines

UC Santa Barbara; California; On-site; USD 90,000 - 130,000; Full time

Job summary

UC Santa Barbara's NSF ExFAB Biofoundry seeks a Computation and Data Specialist to advance data analysis, data infrastructure, and AI-driven workflows across diverse modalities. You will manage large datasets from imaging, flow cytometry, and metabolomics, build flexible pipelines, develop ML models, and support LIMS integration across UCSB and partner campuses.

This role requires a Master’s degree in a relevant field and at least five years of data-science experience, with a collaborative,

Qualifications

• Master’s degree in biological science or engineering with a data/computation emphasis.
• 5+ years of experience creating or administering scientific data organization or data mining structures.
• Experience delivering data analysis across modalities (imaging, flow cytometry, metabolomics) and supportive data workflows.

Responsibilities

• Pipeline Development: build workflows for data acquisition and analysis for AI-readiness across modalities; create ML models; enable data exploration and storage management.
• Data Analysis Support: develop customized analysis approaches; advanced imaging processing and integration across modalities; produce robust quantitative outputs.
• Data Infrastructure and Support: establish data organization/storage/linkage across experiments; manage UCSB ExFAB LIMS engagement; provide training and collaborate with the LIMS team.

Skills

Data analysis

Data infrastructure

AI model training

Data exploration

Project tracking

Collaboration with scientists

Time-series imaging analysis

Education

Master’s degree in biological sciences or engineering including Computer Science

Tools

LIMS

Imaging processing tools

Metadata management

Job description

UC Santa Barbara's NSF ExFAB Biofoundry seeks a Computation and Data Specialist to advance data analysis, data infrastructure, and AI-driven workflows across diverse modalities. You will manage large datasets from imaging, flow cytometry, and metabolomics, build flexible pipelines, develop ML models, and support LIMS integration across UCSB and partner campuses.

This role requires a Master’s degree in a relevant field and at least five years of data-science experience, with a collaborative,