Bioinformatics / Data Scientist
- Remote, worldwide
- Mid-level
- Posted 5 days ago
or apply from Claude / ChatGPT / Muse
Data science role analysing single-cell and other omics data from lab-grown organoids, on a team working with major research institutes.
About the role
Multi-omics analysis of organoid systems and matching normal tissue, aimed at checking how faithful the organoids are and finding markers of good differentiation.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, worldwide
- Seniority
- Mid-level
- Skills
- Python, Seurat, Scanpy, single-cell RNA sequencing, Proteomics, Metabolomics, Machine learning
- Posted
- 24 Oct 2026
- Last checked
- 28 Oct 2026
What you will do
- Analyse single-cell and bulk RNA sequencing, proteomics and metabolomics data from organoid models and tissue samples
- Build pipelines for processing, quality control and statistical analysis of these datasets
- Compare organoid data against public datasets to benchmark them against normal tissue
- Advise wet-lab colleagues on study design and help interpret results to refine protocols
- Contribute to manuscripts and present findings at scientific conferences
What they look for
- PhD in bioinformatics, computational biology, biostatistics or another quantitative field
- Hands-on single-cell analysis, for example with Seurat, Scanpy or similar tools
- Strong R and Python skills, with statistics and data visualisation experience
- Working knowledge of proteomics and metabolomics data
Nice to have
- Past work with organoid datasets
- Machine learning for biological data, pathway analysis tools, developmental biology background
- Experience on high-performance computing systems and with version control
Benefits
- Full medical, dental and vision cover for employees
- 401K match up to 5%, paid time off and holidays, plus education support
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
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Claude
- In Claude, open Settings, then Connectors, and choose Add custom connector.
- Name it Keywordise and paste the connector URL.
- Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
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- In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
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Muse
- Open Muse (muse.ai or the app) and send it the message below.
- If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
- Send the prompt. Muse asks before it sends anything.
Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.Muse is available in the US only for now.
Apply to Keywordise job slufjulk7bQuestions about this job
Is this job fully remote, and from where?
Yes, it is listed as remote, and the posting does not tie it to one country.
What does this job pay?
The posting does not state a salary, so there is no figure to quote.
What experience is needed?
It is a mid-level role. The posting asks for: phD in bioinformatics, computational biology, biostatistics or another quantitative field; hands-on single-cell analysis, for example with Seurat, Scanpy or similar tools; strong R and Python skills, with statistics and data visualisation experience. Skills it names include Python, Seurat, Scanpy, single-cell RNA sequencing.
How do I apply with Keywordise AI?
Select Apply with Keywordise AI, sign up and upload your CV. Keywordise writes a CV and a cover letter for this job from your real experience and applies for you. The 7-day free trial needs no card.
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