4 of 4 Remote/Hybrid Transcriptomics Jobs

Scientific AI Platform Lead, Data Science, Disease Area X

Hiring Organisation
Novartis
Location
Cambridge, Cambridgeshire, UK
Employment Type
Full-time
data platforms for scientific analysis: omics data, data modeling, patient metadata, lineage, access controls, and reproducible workflows. Experience with omics analysis pipelines (i.e. genomics, transcriptomics), MCP, LLM patterns, biological foundational models, agent orchestration, and deep learning frameworks (i.e. Pytorch) is preferred. Familiarity with current agentic frameworks such Claude Science, Biomni ...

Scientific AI Platform Expert, Disease Area X

Hiring Organisation
Novartis
Location
Cambridge, Cambridgeshire, UK
Employment Type
Full-time
data platforms for scientific analysis: omics data, data modeling, patient metadata, lineage, access controls, and reproducible workflows. Experience with omics analysis pipelines (i.e. genomics, transcriptomics), MCP, LLM patterns, biological foundational models, agent orchestration, and deep learning frameworks (i.e. Pytorch) is preferred. Familiarity with current agentic frameworks such Claude Science, Biomni ...

Postdoctoral Researcher (m/f/d)

Hiring Organisation
Universität Regensburg
Location
Regensburg, Bayern, Germany
Employment Type
Permanent
Salary
EUR Annual
academic teaching and student mentoring is expected; prior supervisory experience is a plus Hands-on experience with the analysis of sequencing data (e.g., transcriptomics, single-cell genomics) is advantageous Our research group is internationally leading in developing computational and statistical methods for metabolic RNA labeling data, with a strong focus ...

Senior Bioinformatician

Hiring Organisation
Talentmark
Location
Bracknell, Berkshire, United Kingdom
Employment Type
Contract
Contract Rate
£36.84 - £49.13/hour
most urgent medical needs. Salary: £36.84 to £49.13 ph Rates are dependent upon experience. Senior Bioinformatician Role: Analyse large-scale single-cell, bulk transcriptomics and other omics datasets. Develop new computational methods that extract biological insight from them. Build scalable, well-tested and documented software and workflows for atlas-scale … transcriptomic data at scale, including QC, integration, annotation and differential analysis. A demonstrated track record of developing computational methods or tools. Experience with spatial transcriptomics or spatial proteomics platforms, such as Visium, Xenium, MERFISH or CosMx. Experience with deep generative or foundation models for single-cell data, such as scVI ...